ORCID Profile
0000-0002-3090-1059
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Global Information Systems | Information Systems | Distributed Computing | Distributed and Grid Systems | Analysis Of Algorithms And Complexity | Analysis of Algorithms and Complexity | Computation Theory and Mathematics | Optimisation | Other Information, Computing And Communication Sciences | Information Storage, Retrieval And Management | Biological Sciences Not Elsewhere Classified | Structural Chemistry | Computer Software | Data Structures | Software Engineering | Information Systems Organisation | Physical Chemistry (Incl. Structural) | Computer Communications Networks | Information Systems Development Methodologies | Genetics | Artificial Intelligence and Image Processing | Earth Sciences Not Elsewhere Classified | Library and Information Studies | Database Management | Operating Systems | Interorganisational Information Systems | Information Systems Management | Genomics | Communications Technologies Not Elsewhere Classified | Decision Support And Group Support Systems | Cosmology and Extragalactic Astronomy | Database Management | Virtual Reality And Related Simulation | Simulation And Modelling | Health Information Systems (Incl. Surveillance) | Pattern Recognition and Data Mining | Distributed systems and algorithms | Cyberphysical systems and internet of things | Turbulent Flows | Stochastic Analysis and Modelling | Other Biological Sciences | Multimedia | Manufacturing robotics | Interorganisational Information Systems and Web Services | Distributed computing and systems software
ANZSRC Socio-Economic Objective (SEO)
Application tools and system utilities | Information processing services | Expanding Knowledge in the Information and Computing Sciences | Information services not elsewhere classified | Computer software and services not elsewhere classified | Management of Greenhouse Gas Emissions from Information and Communication Services | Application Tools and System Utilities | Technological and organisational innovation | Communication services not elsewhere classified | Application packages | Treatments (e.g. chemicals, antibiotics) | Other | Biological sciences | Network transmission equipment | Education and Training not elsewhere classified | Electronic Information Storage and Retrieval Services | Information and Communication Services not elsewhere classified | Scientific instrumentation | Information Processing Services (incl. Data Entry and Capture) | Public health not elsewhere classified |
Related Links
Publications
MSGR: A Mode-Switched Grid-Based Sustainable Routing Protocol for Wireless Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Security Issues in Wireless Sensor Networks
Publisher: IEEE
Date: 2006
A Memetic Algorithm for Dynamic Shortest Path Routing on Mobile Ad-hoc Networks
Publisher: IEEE
Date: 12-2015
Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2011
Practical Scheduling of Bag-of-Tasks Applications on Grids with Dynamic Resilience
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2007
DOI: 10.1109/TC.2007.1042
Throughput of Infrastructure-Based Cooperative Vehicular Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2017
A Novel Quartet-Based Method for Phylogenetic Inference
Publisher: IEEE
Date: 2005
DOI: 10.1109/BIBE.2005.7
A Model Predictive Controller for Contention-Aware Resource Allocation in Virtualized Data Centers
Publisher: IEEE
Date: 09-2016
NHAD: Neuro-Fuzzy Based Horizontal Anomaly Detection In Online Social Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
A Network-aware and Partition-based Resource Management Scheme for Data Stream Processing
Publisher: ACM
Date: 05-08-2019
Collective Energy-Efficiency Approach to Data Center Networks Planning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Advances in Methods and Techniques for Processing Streaming Big Data in Datacentre Clouds
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2016
Virt-B: Towards Performance Benchmarking of Virtual Machine Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2014
DOI: 10.1109/MIC.2013.104
RAMP: reliability-aware elastic instance provisioning for profit maximization
Publisher: Springer Science and Business Media LLC
Date: 26-10-2015
Taming the Domain Shift in Multi-source Learning for Energy Disaggregation
Publisher: ACM
Date: 04-08-2023
Adversarial Evolving Neural Network for Longitudinal Knee Osteoarthritis Prediction
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2022
Robust scheduling for large-scale distributed systems
Publisher: IEEE
Date: 12-2020
Local assortativeness in scale-free networks
Publisher: IOP Publishing
Date: 26-09-2008
An Efficient Data-Driven Clustering Technique to Detect Attacks in SCADA Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2016
A Novel State Transition Method for Metaheuristic-Based Scheduling in Heterogeneous Computing Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2008
Optimal Application Deployment in Resource Constrained Distributed Edges
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2014
Profit-Driven Service Request Scheduling in Clouds
Publisher: IEEE
Date: 2010
TRABAC: A Tokenized Role-Attribute Based Access Control using Smart Contract for Supply Chain Applications
Publisher: IEEE
Date: 12-2021
RAMSES: A new reference architecture for self-adaptive middleware in Wireless Sensor Networks
Publisher: Elsevier BV
Date: 02-2017
Uplink Performance Analysis of Dense Cellular Networks with LoS and NLoS Transmissions
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2017
QoS- and Contention- Aware Resource Provisioning in a Stream Processing Engine
Publisher: IEEE
Date: 09-2017
Profiling-Based Workload Consolidation and Migration in Virtualized Data Centers
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2015
Peripheral nodes and their effect in path planning in networks
Publisher: Inderscience Publishers
Date: 2015
SSPT: Secondary Structure Prediction Triangle
Publisher: IEEE
Date: 2009
User privacy leakages from federated learning in NILM applications
Publisher: ACM
Date: 17-11-2021
Titan: A new paradigm in wireless internet access based on community collaboration
Publisher: ACM
Date: 03-07-2006
PrivGait
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-11-2022
Coherent information structure in complex computation
Publisher: Springer Science and Business Media LLC
Date: 30-11-2011
DOI: 10.1007/S12064-011-0145-9
Abstract: We have recently presented a framework for the information dynamics of distributed computation that locally identifies the component operations of information storage, transfer, and modification. We have observed that while these component operations exist to some extent in all types of computation, complex computation is distinguished in having coherent structure in its local information dynamics profiles. In this article, we conjecture that coherent information structure is a defining feature of complex computation, particularly in biological systems or artificially evolved computation that solves human-understandable tasks. We present a methodology for studying coherent information structure, consisting of state-space diagrams of the local information dynamics and a measure of structure in these diagrams. The methodology identifies both clear and "hidden" coherent structure in complex computation, most notably reconciling conflicting interpretations of the complexity of the Elementary Cellular Automata rule 22.
GA-ETI: An enhanced genetic algorithm for the scheduling of scientific workflows in cloud environments
Publisher: Elsevier BV
Date: 05-2018
Handling Uncertainty: Pareto-Efficient BoT Scheduling on Hybrid Clouds
Publisher: IEEE
Date: 10-2013
DOI: 10.1109/ICPP.2013.51
Decentralized Admission Control for High-Throughput Key-Value Data Stores
Publisher: IEEE
Date: 05-2018
FastSlowMo: Federated Learning With Combined Worker and Aggregator Momenta
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2023
A manifesto for future generation cloud computing: Research directions for the next decade
Publisher: Association for Computing Machinery (ACM)
Date: 19-11-2019
DOI: 10.1145/3241737
Abstract: The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured significant attention of academia, industries, and government bodies. Now, it has emerged as the backbone of modern economy by offering subscription-based services anytime, anywhere following a pay-as-you-go model. This has instigated (1) shorter establishment times for start-ups, (2) creation of scalable global enterprise applications, (3) better cost-to-value associativity for scientific and high-performance computing applications, and (4) different invocation/execution models for pervasive and ubiquitous applications. The recent technological developments and paradigms such as serverless computing, software-defined networking, Internet of Things, and processing at network edge are creating new opportunities for Cloud computing. However, they are also posing several new challenges and creating the need for new approaches and research strategies, as well as the re-evaluation of the models that were developed to address issues such as scalability, elasticity, reliability, security, sustainability, and application models. The proposed manifesto addresses them by identifying the major open challenges in Cloud computing, emerging trends, and impact areas. It then offers research directions for the next decade, thus helping in the realisation of Future Generation Cloud Computing.
ADREA: A Framework for Adaptive Resource Allocation in Distributed Computing Systems
Publisher: IEEE
Date: 12-2010
Editorial: special issue on “big data security and privacy”
Publisher: Elsevier BV
Date: 11-2017
Distributed Segment-Based Anomaly Detection With Kullback–Leibler Divergence in Wireless Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Robust ${H_\infty }$ Control of Doubly Fed Wind Generator via State-Dependent Riccati Equation Technique
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2019
Robustness Analysis and Enhancement of Deep Reinforcement Learning-Based Schedulers
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Profiling Applications for Virtual Machine Placement in Clouds
Publisher: IEEE
Date: 07-2011
Assortative mixing in directed biological networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2012
DOI: 10.1109/TCBB.2010.80
DomNet: Protein Domain Boundary Prediction Using Enhanced General Regression Network and New Profiles
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2008
Edge Intelligence
Publisher: Springer International Publishing
Date: 2023
Quality of security through triple key scheme in wireless sensor networks
Publisher: Wiley
Date: 25-03-2010
DOI: 10.1002/WCM.733
Orchestrating big data analysis workflows in the cloud: Research challenges, survey, and future directions
Publisher: Association for Computing Machinery (ACM)
Date: 13-09-2019
DOI: 10.1145/3332301
Abstract: Interest in processing big data has increased rapidly to gain insights that can transform businesses, government policies, and research outcomes. This has led to advancement in communication, programming, and processing technologies, including cloud computing services and technologies such as Hadoop, Spark, and Storm. This trend also affects the needs of analytical applications, which are no longer monolithic but composed of several in idual analytical steps running in the form of a workflow. These big data workflows are vastly different in nature from traditional workflows. Researchers are currently facing the challenge of how to orchestrate and manage the execution of such workflows. In this article, we discuss in detail orchestration requirements of these workflows as well as the challenges in achieving these requirements. We also survey current trends and research that supports orchestration of big data workflows and identify open research challenges to guide future developments in this area.
Sub-curve HMM: A malware detection approach based on partial analysis of API call sequences
Publisher: Elsevier BV
Date: 05-2020
ID2S Password-Authenticated Key Exchange Protocols
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Efficient Data Placement and Replication for QoS-Aware Approximate Query Evaluation of Big Data Analytics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2019
Data Syndication Techniques for Bioinformatics Applications
Publisher: Wiley
Date: 30-04-2007
Cloud-Based Utility Service Framework for Trust Negotiations Using Federated Identity Management
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2017
A Task-Based Adaptive TTL Approach for Web Server Load Balancing
Publisher: IEEE
Date: 2005
DOI: 10.1109/ISCC.2005.19
Vehicular Computation Offloading for Industrial Mobile Edge Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
A Productive Duplication-Based Scheduling Algorithm for Heterogeneous Computing Systems
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11557654_26
Pulsed Power Load Coordination in Mission- and Time-critical Cyber-physical Systems
Publisher: Association for Computing Machinery (ACM)
Date: 07-03-2023
DOI: 10.1145/3573197
Abstract: Many mission- and time-critical cyber-physical systems deploy an isolated power system for their power supply. Under extreme conditions, the power system must process critical missions by maximizing the Pulsed Power Load (PPL) utility while maintaining the normal loads in the cyber-physical system. Optimal operation requires careful coordination of PPL deployment and power supply processes. In this work, we formulate the coordination problem for maximizing PPL utility under available resources, capacity, and demand constraints. The coordination problem has two scenarios for different use cases, fixed and general normal loads. We develop an exact pseudo-polynomial time dynamic programming algorithm for each scenario with a proven guarantee to produce an optimal coordination schedule. The performance of the algorithms is also experimentally evaluated, and the results agree with our theoretical analysis, showing the practicality of the solutions.
On Cloud Spot Market: An Overview of the Research
Publisher: Springer International Publishing
Date: 2015
AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2019
Dynamical Resource Allocation in Edge for Trustable Internet-of-Things Systems: A Reinforcement Learning Method
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Request Dispatching Over Distributed SDN Control Plane: A Multiagent Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Cost and Performance Analysis on Decentralized File Systems for Blockchain-Based Applications: State-of-the-Art Report
Publisher: IEEE
Date: 08-2022
Optimizing Scientific Workflows in the Cloud: A Montage Example
Publisher: IEEE
Date: 12-2014
DOI: 10.1109/UCC.2014.77
Energy-efficient tailoring of VM size and tasks in cloud data centers
Publisher: IEEE
Date: 10-2017
LIFE: A predictive approach for VM placement in cloud environments
Publisher: IEEE
Date: 10-2017
Lightweight Power Monitoring Framework for Virtualized Computing Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
A particle swarm based hybrid system for imbalanced medical data sampling
Publisher: Springer Science and Business Media LLC
Date: 2009
Towards Minimizing the $R$ Metric for Measuring Network Robustness
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2021
Editorial for Special issue of FGCS special issue on “Benchmarking big data systems”
Publisher: Elsevier BV
Date: 07-2019
Stochastic Resource Provisioning for Containerized Multi-Tier Web Services in Clouds
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2017
Secure and Sustainable Load Balancing of Edge Data Centers in Fog Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2018
Security Issues and Countermeasures in Wireless Sensor Networks
Publisher: Wiley
Date: 26-03-2008
A Flexible Data Store for Managing Bioinformatics Data
Publisher: Wiley
Date: 23-12-2010
Message from the Program Chairs of BigDataSecurity 2015
Publisher: IEEE
Date: 08-2015
Federated Learning over Wireless Networks: Optimization Model Design and Analysis
Publisher: IEEE
Date: 04-2019
Running Data-Intensive Scientific Workflows in the Cloud
Publisher: IEEE
Date: 12-2014
A Spatiotemporal Data Summarization Approach for Real-Time Operation of Smart Grid
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
PTNet: An efficient and green data center network
Publisher: Elsevier BV
Date: 09-2017
Resource Recommender for Cloud-Edge Engineering
Publisher: MDPI AG
Date: 25-05-2021
DOI: 10.3390/INFO12060224
Abstract: The interaction between artificial intelligence (AI), edge, and cloud is a fast-evolving realm in which pushing computation close to the data sources is increasingly adopted. Captured data may be processed locally (i.e., on the edge) or remotely in the clouds where abundant resources are available. While many emerging applications are processed in situ due primarily to their data intensiveness and short-latency requirement, the capacity of edge resources remains limited. As a result, the collaborative use of edge and cloud resources is of great practical importance. Such collaborative use should take into account data privacy, high latency and high bandwidth consumption, and the cost of cloud usage. In this paper, we address the problem of resource allocation for data processing jobs in the edge-cloud environment to optimize cost efficiency. To this end, we develop Cost Efficient Cloud Bursting Scheduler and Recommender (CECBS-R) as an AI-assisted resource allocation framework. In particular, CECBS-R incorporates machine learning techniques such as multi-layer perceptron (MLP) and long short-term memory (LSTM) neural networks. In addition to preserving privacy due to employing edge resources, the edge utility cost plus public cloud billing cycles are adopted for scheduling, and jobs are profiled in the cloud-edge environment to facilitate scheduling through resource recommendations. These recommendations are outputted by the MLP neural network and LSTM for runtime estimation and resource recommendation, respectively. CECBS-R is trained with the scheduling outputs of Facebook and grid workload traces. The experimental results based on unseen workloads show that CECBS-R recommendations achieve a ∼65% cost saving in comparison to an online cost-efficient scheduler (BOS), resource management service (RMS), and an adaptive scheduling algorithm with QoS satisfaction (AsQ).
Scaling up Genome Similarity Search Services through Content Distribution
Publisher: IEEE
Date: 09-2007
DOI: 10.1109/ICPP.2007.74
Q-Flink: A QoS-Aware Controller for Apache Flink
Publisher: IEEE
Date: 05-2020
DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-sharing Devices
Publisher: IEEE
Date: 05-2020
SVM-enabled prognostic method for clinical decision making: The use of CD4 T-cell level and HIV-1 viral load for guiding treatment initiation and alteration
Publisher: IEEE
Date: 10-2010
Pareto frontier for job execution and data transfer time in hybrid clouds
Publisher: Elsevier BV
Date: 07-2014
ON THE PERFORMANCE OF STATIC AND DYNAMIC LOCATION MANAGEMENT STRATEGIES IN MOBILE COMPUTING
Publisher: World Scientific Pub Co Pte Lt
Date: 04-2011
DOI: 10.1142/S0129054111008210
Abstract: This work reviews a number of algorithms to solve the location management problem in mobile networks for both static and dynamic scenarios. In the static mode, results of five algorithms are used to highlight the pros and cons for each algorithm. These results provide new insight into the mobility management problem that can influence the design of future wireless networks. In the dynamic mode in which mobile users' past movement patterns are used in making future paging decisions by the network, the performance of an online location management algorithm is examined under different deployment setups. Performance results of this algorithm show its advantages over the currently implemented and/or proposed static location management systems (including GSM).
AI-Enabled Secure Microservices in Edge Computing: Opportunities and Challenges
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
On the provisioning of guaranteed QoS in wireless sensor networks through limited service polling models
Publisher: IEEE
Date: 05-2008
Optimizing the Maximum Vertex Coverage Attacks Under Knapsack Constraint
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Cost efficient scheduling of MapReduce applications on public clouds
Publisher: Elsevier BV
Date: 05-2018
Hybrid Cryptographic Access Control for Cloud-Based EHR Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2016
DOI: 10.1109/MCC.2016.76
Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2023
A framework for real time communication in sensor networks
Publisher: IEEE
Date: 05-2010
Randomized approximation scheme for resource allocation in hybrid-cloud environment
Publisher: Springer Science and Business Media LLC
Date: 28-01-2014
A Technique for Efficient Query Estimation over Distributed Data Streams
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2017
Local Resource Shaper for MapReduce
Publisher: IEEE
Date: 12-2014
Parallel implementation of a quartet-based algorithm for phylogenetic analysis
Publisher: IEEE
Date: 2006
SAMD: Fine-Grained Application Sharing for Mobile Collaboration
Publisher: IEEE
Date: 03-2018
AutoDiagn: An Automated Real-Time Diagnosis Framework for Big Data Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Fuzzy online location management in mobile computing environments
Publisher: Elsevier BV
Date: 08-2011
Reputation-Based Resource Allocation in Market-Oriented Distributed Systems
Publisher: Springer Berlin Heidelberg
Date: 2011
Performance Analysis of EDF Scheduling in a Multi-Priority Preemptive M/G/1 Queue
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2014
Investigation of relationships among excavate taxa using a new quartet-based phylogenetic analysis method
Publisher: IEEE
Date: 2007
An Energy-Efficient Storage Strategy for Cloud Datacenters Based on Variable K-Coverage of a Hypergraph
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2017
On graphs supporting greedy forwarding for directional wireless networks
Publisher: IEEE
Date: 06-2012
Adaptive multiple-workflow scheduling with task rearrangement
Publisher: Springer Science and Business Media LLC
Date: 13-01-2015
Multi-Tier Resource Allocation for Data-Intensive Computing
Publisher: Elsevier BV
Date: 09-2015
MultiScaler: A Multi-Loop Auto-Scaling Approach for Cloud-Based Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
An Artificial Immune System for Heterogeneous Multiprocessor Scheduling with Task Duplication
Publisher: IEEE
Date: 2007
Green Data-Collection From Geo-Distributed IoT Networks Through Low-Earth-Orbit Satellites
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
MPHC: Preserving Privacy for Workflow Execution in Hybrid Clouds
Publisher: IEEE
Date: 12-2013
LaCoDa: Layered connected topology for massive data centers
Publisher: Elsevier BV
Date: 04-2017
Priority-Based Consolidation of Parallel Workloads in the Cloud
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2013
Composition-Driven IoT Service Provisioning in Distributed Edges
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Heterogeneous Job Allocation Scheduler for Hadoop MapReduce Using Dynamic Grouping Integrated Neighboring Search
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Information Transfer by Particles in Cellular Automata
Publisher: Springer Berlin Heidelberg
Date: 2007
Elastic CPU Cap Mechanism for Timely Dataflow Applications
Publisher: Springer International Publishing
Date: 2018
On the performance of greedy forwarding on Yao and Theta graphs
Publisher: Elsevier BV
Date: 07-2018
Fully Homomorphic based Privacy-Preserving Distributed Expectation Maximization on Cloud
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2020
Partitioning-Based Workflow Scheduling in Clouds
Publisher: IEEE
Date: 03-2016
DOI: 10.1109/AINA.2016.83
Energy Efficient Resource Allocation in Large Scale Distributed Systems
Publisher: IEEE
Date: 08-2010
Visualisation of distributed systems simulation made simple
Publisher: IEEE
Date: 12-2019
Task assignment in multiple server farms using preemptive migration and flow control
Publisher: Elsevier BV
Date: 12-2011
Detection of SLA Violation for Big Data Analytics Applications in Cloud
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties
Publisher: Springer Science and Business Media LLC
Date: 04-2023
DLS: A dynamic local stitching mechanism to rectify transmitting path fragments in wireless sensor networks
Publisher: Elsevier BV
Date: 2013
A Continuous Change Detection Mechanism to Identify Anomalies in ECG Signals for WBAN-Based Healthcare Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Linear Combinations of DVFS-Enabled Processor Frequencies to Modify the Energy-Aware Scheduling Algorithms
Publisher: IEEE
Date: 2010
A Dynamic Resource Controller for Resolving Quality of Service Issues in Modern Streaming Processing Engines
Publisher: IEEE
Date: 24-11-2020
Model-Based Scheduling for Stream Processing Systems
Publisher: IEEE
Date: 12-2017
Scheduling Periodical Multi-Stage Jobs With Fuzziness to Elastic Cloud Resources
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
Resource Allocation for Energy Efficient Large-Scale Distributed Systems
Publisher: Springer Berlin Heidelberg
Date: 2010
Energy‐Efficient Distributed Computing Systems
Publisher: Wiley
Date: 30-07-2012
Tradeoffs Between Profit and Customer Satisfaction for Service Provisioning in the Cloud
Publisher: ACM
Date: 08-06-2011
Local information transfer as a spatiotemporal filter for complex systems
Publisher: American Physical Society (APS)
Date: 15-02-2008
A Grid Scheduling Algorithm for Bag-of-Tasks Applications Using Multiple Queues with Duplication
Publisher: IEEE
Date: 2006
Data-Intensive Workload Consolidation for the Hadoop Distributed File System
Publisher: IEEE
Date: 09-2012
DOI: 10.1109/GRID.2012.25
Tensor-Based Big Data Management Scheme for Dimensionality Reduction Problem in Smart Grid Systems: SDN Perspective
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2018
Resource demand aware scheduling for workflows in clouds
Publisher: IEEE
Date: 10-2017
A novel integrative phylogenetic analysis system
Publisher: Inderscience Publishers
Date: 2010
Non-clairvoyant Assignment of Bag-of-Tasks Applications Across Multiple Clouds
Publisher: IEEE
Date: 12-2012
Optimal governance and implementation of vaccination programmes to contain the COVID-19 pandemic
Publisher: The Royal Society
Date: 06-2021
DOI: 10.1098/RSOS.210429
Abstract: Since the recent introduction of several viable vaccines for SARS-CoV-2, vaccination uptake has become the key factor that will determine our success in containing the COVID-19 pandemic. We argue that game theory and social network models should be used to guide decisions pertaining to vaccination programmes for the best possible results. In the months following the introduction of vaccines, their availability and the human resources needed to run the vaccination programmes have been scarce in many countries. Vaccine hesitancy is also being encountered from some sections of the general public. We emphasize that decision-making under uncertainty and imperfect information, and with only conditionally optimal outcomes, is a unique forte of established game-theoretic modelling. Therefore, we can use this approach to obtain the best framework for modelling and simulating vaccination prioritization and uptake that will be readily available to inform important policy decisions for the optimal control of the COVID-19 pandemic.
Evaluation of Overheads in Security Mechanisms in Wireless Sensor Networks
Publisher: IEEE
Date: 10-2007
A least flow-time first load sharing approach for distributed server farm
Publisher: Elsevier BV
Date: 07-2005
A resource allocation controller for key-value data stores
Publisher: IEEE
Date: 10-2017
QoS-aware resource allocation for stream processing engines using priority channels
Publisher: IEEE
Date: 10-2017
Serverless Execution of Scientific Workflows
Publisher: Springer International Publishing
Date: 2017
On the Communication Variability Analysis of the NeCTAR Research Cloud System
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
A Decentralized Method for Scaling Up Genome Similarity Search Services
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2009
DOI: 10.1109/TPDS.2008.95
adCFS: Adaptive completely fair scheduling policy for containerised workflows systems
Publisher: IEEE
Date: 10-2017
A bi-objective hybrid genetic algorithm to minimize energy consumption and makespan for precedence-constrained applications using dynamic voltage scaling
Publisher: IEEE
Date: 07-2010
Priority-Based Scheduling for Large-Scale Distribute Systems with Energy Awareness
Publisher: IEEE
Date: 12-2011
DOI: 10.1109/DASC.2011.96
An explainable deep learning-enabled intrusion detection framework in IoT networks
Publisher: Elsevier BV
Date: 08-2023
Federated Learning With Nesterov Accelerated Gradient
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Automatic and Autonomous Load Management in Peer-to-Peer Virtual Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2013
SLA Management for Big Data Analytical Applications in Clouds: A Taxonomy Study
Publisher: Association for Computing Machinery (ACM)
Date: 12-06-2020
DOI: 10.1145/3383464
Abstract: Recent years have witnessed the booming of big data analytical applications (BDAAs). This trend provides unrivaled opportunities to reveal the latent patterns and correlations embedded in the data, and thus productive decisions may be made. This was previously a grand challenge due to the notoriously high dimensionality and scale of big data, whereas the quality of service offered by providers is the first priority. As BDAAs are routinely deployed on Clouds with great complexities and uncertainties, it is a critical task to manage the service level agreements (SLAs) so that a high quality of service can then be guaranteed. This study performs a systematic literature review of the state of the art of SLA-specific management for Cloud-hosted BDAAs. The review surveys the challenges and contemporary approaches along this direction centering on SLA. A research taxonomy is proposed to formulate the results of the systematic literature review. A new conceptual SLA model is defined and a multi-dimensional categorization scheme is proposed on its basis to apply the SLA metrics for an in-depth understanding of managing SLAs and the motivation of trends for future research.
Multi-scale Features Fusion for the Detection of Tiny Bleeding in Wireless Capsule Endoscopy Images
Publisher: Association for Computing Machinery (ACM)
Date: 27-10-2021
DOI: 10.1145/3477540
Abstract: Wireless capsule endoscopy is a modern non-invasive Internet of Medical Imaging Things that has been increasingly used in gastrointestinal tract examination. With about one gigabyte image data generated for a patient in each examination, automatic lesion detection is highly desirable to improve the efficiency of the diagnosis process and mitigate human errors. Despite many approaches for lesion detection have been proposed, they mainly focus on large lesions and are not directly applicable to tiny lesions due to the limitations of feature representation. As bleeding lesions are a common symptom in most serious gastrointestinal diseases, detecting tiny bleeding lesions is extremely important for early diagnosis of those diseases, which is highly relevant to the survival, treatment, and expenses of patients. In this article, a method is proposed to extract and fuse multi-scale deep features for detecting and locating both large and tiny lesions. A feature extracting network is first used as our backbone network to extract the basic features from wireless capsule endoscopy images, and then at each layer multiple regions could be identified as potential lesions. As a result, the features maps of those potential lesions are obtained at each level and fused in a top-down manner to the fully connected layer for producing final detection results. Our proposed method has been evaluated on a clinical dataset that contains 20,000 wireless capsule endoscopy images with clinical annotation. Experimental results demonstrate that our method can achieve 98.9% prediction accuracy and 93.5% score, which has a significant performance improvement of up to 31.69% and 22.12% in terms of recall rate and score, respectively, when compared to the state-of-the-art approaches for both large and tiny bleeding lesions. Moreover, our model also has the highest AP and the best medical diagnosis performance compared to state-of-the-art multi-scale models.
Effective resource multiplexing for scientific workflows
Publisher: IEEE
Date: 08-2015
Efficient Energy Management Using Adaptive Reinforcement Learning-Based Scheduling in Large-Scale Distributed Systems
Publisher: IEEE
Date: 09-2011
DOI: 10.1109/ICPP.2011.18
Machine-Learning-Based Real-Time Economic Dispatch in Islanding Microgrids in a Cloud-Edge Computing Environment
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
IoTSim-SDWAN: A simulation framework for interconnecting distributed datacenters over Software-Defined Wide Area Network (SD-WAN)
Publisher: Elsevier BV
Date: 09-2020
Performance analysis of dense small cell networks with dynamic TDD
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2018
Distributed anomaly detection for industrial wireless sensor networks based on fuzzy data modelling
Publisher: Elsevier BV
Date: 06-2013
Dynamic resource allocation for an energy efficient VM architecture for cloud computing
Publisher: ACM
Date: 29-01-2018
Sample Subset Optimization Techniques for Imbalanced and Ensemble Learning Problems in Bioinformatics Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2014
Enhancing Availability in Content Delivery Networks for Mobile Platforms
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2015
Information-Cloning of Scale-Free Networks
Publisher: Springer Berlin Heidelberg
Date: 2007
Detecting Non-trivial Computation in Complex Dynamics
Publisher: Springer Berlin Heidelberg
Date: 2007
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Energy efficient resource controller for Apache Storm
Publisher: Wiley
Date: 30-12-2023
DOI: 10.1002/CPE.6799
Abstract: Apache Storm is a distributed processing engine that can reliably process unbounded streams of data for real‐time applications. While recent research activities mostly focused on devising a resource allocation and task scheduling algorithm to satisfy high performance or low latency requirements of Storm applications across a distributed and multi‐core system, finding a solution that can optimize the energy consumption of running applications remains an important research question to be further explored. In this article, we present a controlling strategy for CPU throttling that continuously optimize the level of consumed energy of a Storm platform by adjusting the voltage and frequency of the CPU cores while running the assigned tasks under latency constraints defined by the end‐users. The experimental results running over a Storm cluster with 4 physical nodes (total 24 cores) validates the effectiveness of proposed solution when running multiple compute‐intensive operations. In particular, the proposed controller can keep the latency of analytic tasks, in terms of 99th latency percentile, within the quality of service requirement specified by the end‐user while reducing the total energy consumption by 18% on average across the entire Storm platform.
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems
Publisher: Springer Science and Business Media LLC
Date: 06-06-2014
Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-06-2022
An Interoperability Framework for Sensor and UMTS Networks
Publisher: IEEE
Date: 03-2007
An Energy Saving Mechanism Based on Vacation Queuing Theory in Data Center Networks
Publisher: Springer International Publishing
Date: 2018
Hierarchical Federated Learning With Momentum Acceleration in Multi-Tier Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2023
Cloud Bursting Scheduler for Cost Efficiency
Publisher: IEEE
Date: 06-2017
An optimal and stable feature selection approach for traffic classification based on multi-criterion fusion
Publisher: Elsevier BV
Date: 07-2014
Lightweight Online Scheduling for Home Energy Management Systems Under Uncertainty
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
Privacy-Aware Scheduling SaaS in High Performance Computing Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2017
A QoS-aware controller for Apache Storm
Publisher: IEEE
Date: 10-2016
Online Multiple Workflow Scheduling under Privacy and Deadline in Hybrid Cloud Environment
Publisher: IEEE
Date: 12-2014
Enhancing disk input output performance in consolidated virtualized cloud platforms using a randomized approximation scheme
Publisher: Wiley
Date: 28-02-2021
DOI: 10.1002/CPE.6247
Abstract: In a virtualized computer system with shared resources, consolidated virtual services (VSs) fiercely compete with each other to obtain the required capacity of resources, and this causes significant system's performance degradation. The performance of input output (I/O)‐bound applications running inside their own VS is mainly determined by the total time required to schedule every read/write request, plus the actual time needed by the device driver to complete the request. To achieve a right performance isolation of shared resources (e.g., the last level cache, memory bandwidth, and the disk buffer), it is essential to limit the performance degradation level among collocated applications, as simultaneously several I/O operations are requested by VSs, perhaps with different priorities. This article proposes a resource allocation controller that uses a fully polynomial‐time randomized approximation scheme to enable performance isolation of concurrent I/O requests in a shared system with multiple consolidated VSs. This controller uses a Monte Carlo s ling approach to measure and estimate the unknown attributes of operational requests originating from each VS. This is formalized as an optimization problem with the aim to minimize the degree of total quality of service (QoS) violation incidents in the entire platform. We associated a reward function to every working machine that represents the fulfillment degree of quality of service metric among all running VSs. The conducted comprehensive set of experiments showed that the proposed algorithm can reduce the QoS violation incidents by 32%, compared with the result which is obtained by employing the default resource allocation policy embedded in the existing Linux container layer.
On the Effect of Using Third-Party Clouds for Maximizing Profit
Publisher: Springer Berlin Heidelberg
Date: 2010
Crowdware: A Framework for GPU-Based Public-Resource Computing with Energy-Aware Incentive Mechanism
Publisher: IEEE
Date: 11-2015
Resource-centric task allocation in grids with artificial danger model support
Publisher: IEEE
Date: 04-2008
Interpretable Machine Learning In Sustainable Edge Computing: A Case Study of Short-Term Photovoltaic Power Output Prediction
Publisher: IEEE
Date: 05-2020
An Efficient Privacy-Preserving Ranked Keyword Search Method
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-0004
Local Resource Consumption Shaping
Publisher: Elsevier
Date: 2016
Local assortativeness in scale-free networks
Publisher: IOP Publishing
Date: 02-2010
Decentralized Networked Load Frequency Control in Interconnected Power Systems Based on Stochastic Jump System Theory
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Adversarial Attacks in a Deep Reinforcement Learning based Cluster Scheduler
Publisher: IEEE
Date: 17-11-2020
Fractal self-similarity measurements based clustering technique for SOAP Web messages
Publisher: Elsevier BV
Date: 05-2013
“So, if she wasn’t aware of it, then how would everybody else out there be aware of it?”—Key Stakeholder Perspectives on the Initial Implementation of Self-Collection in Australia’s Cervical Screening Program: A Qualitative Study
Publisher: MDPI AG
Date: 27-11-2022
Abstract: Background: In December 2017, the Australian National Cervical Screening Program transitioned from 2-yearly cytology-based to 5-yearly human papillomavirus (HPV)-based cervical screening, including a vaginal self-collection option. Until July 2022, this option was restricted to under- or never-screened people aged 30 years and older who refused a speculum exam. We investigated the perspectives and experiences of stakeholders involved in, or affected by, the initial implementation of the restricted self-collection pathway. Methods: Semi-structured interviews were conducted with 49 stakeholders as part of the STakeholder Opinions of Renewal Implementation and Experiences Study. All interviews were audio recorded and transcribed. Data were thematically analysed and coded to the Conceptual Framework for Implementation Outcomes. Results: Stakeholders viewed the introduction of self-collection as an exciting opportunity to provide under-screened people with an alternative to a speculum examination. Adoption in clinical practice, however, was impacted by a lack of clear communication and promotion to providers, and the limited number of laboratories accredited to process self-collected s les. Primary care providers tasked with communicating and offering self-collection described confusion about the availability, participant eligibility, pathology processes, and clinical management processes for self-collection. Regulatory delay in developing an agreed protocol to approve laboratory processing of self-collected swabs, and consequently initially having one laboratory nationally accredited to process s les, led to missed opportunities and misinformation regarding the pathway’s availability. Conclusions: Whilst the introduction of self-collection was welcomed, clear communication from Government regarding setbacks in implementation and how to overcome these in practice were needed. As Australia moves to a policy of providing everyone eligible for screening the choice of self-collection, wider promotion to providers and eligible people, clarity around pathology processes and the scaling up of test availability, as well as timely education and communication of clinical management practice guidelines, are needed to ensure smoother program delivery in the future. Other countries implementing self-collection policies can learn from the implementation challenges faced by Australia.
Budget-Aware User Satisfaction Maximization on Service Provisioning in Mobile Edge Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Some observations on optimal frequency selection in DVFS-based energy consumption minimization
Publisher: Elsevier BV
Date: 08-2011
A modified hopfield network for mobility management
Publisher: Wiley
Date: 03-12-2008
DOI: 10.1002/WCM.582
SAMD Apps: Install Once, Run Anywhere Instantly
Publisher: IEEE
Date: 03-2018
Fine-grained Lesion Classification Framework for Early Auxiliary Diagnosis
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
A Review of Ensemble Methods in Bioinformatics
Publisher: Bentham Science Publishers Ltd.
Date: 12-2010
Ubiquitous Localization (UbiLoc): A Survey and Taxonomy on Device Free Localization for Smart World
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
A Secure Triple-Key Management Scheme for Wireless Sensor Networks
Publisher: IEEE
Date: 2006
Minimizing Energy Consumption for Precedence-Constrained Applications Using Dynamic Voltage Scaling
Publisher: IEEE
Date: 2009
Edge-based Energy Management for Smart Homes
Publisher: IEEE
Date: 08-2018
Executing Large Scale Scientific Workflow Ensembles in Public Clouds
Publisher: IEEE
Date: 09-2015
DOI: 10.1109/ICPP.2015.61
A Pareto Frontier for Optimizing Data Transfer and Job Execution in Grids
Publisher: IEEE
Date: 05-2012
Edge-Computing-Enabled Unmanned Module Defect Detection and Diagnosis System for Large-Scale Photovoltaic Plants
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Distributed Online Resource Scheduling for Mobile Edge Servers
Publisher: IEEE
Date: 09-2021
RBT-GA: a novel metaheuristic for solving the multiple sequence alignment problem
Publisher: Springer Science and Business Media LLC
Date: 2009
Automated Fine-Grained CPU Cap Control in Serverless Computing Platform
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Inline Data Deduplication for SSD-based Distributed Storage
Publisher: IEEE
Date: 12-2015
Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2023
On the Performance of a Dual-Objective Optimization Model for Workflow Applications on Grid Platforms
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2009
Enabling Wireless Communications and Networking Technologies of Edge Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Collaboration- and Fairness-Aware Big Data Management in Distributed Clouds
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2016
Just Satisfactory Resource Provisioning for Parallel Applications in the Cloud
Publisher: IEEE
Date: 06-2012
Price Elasticity in the Enterprise Computing Resource Market
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
DOI: 10.1109/MCC.2016.14
Resource-efficient workflow scheduling in clouds
Publisher: Elsevier BV
Date: 05-2015
Computing Hierarchical Summary from Two-Dimensional Big Data Streams
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
On congruity of nodes and assortative information content in complex networks
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 10-2012
Organizing and program committees
Publisher: IEEE
Date: 11-2012
Brush like a Dentist: Accurate Monitoring of Toothbrushing via Wrist-Worn Gesture Sensing
Publisher: IEEE
Date: 04-2019
AI/ML Data Pipelines for Edge-Cloud Architectures
Publisher: Springer International Publishing
Date: 28-11-2022
System modelling and performance evaluation of a three-tier Cloud of Things
Publisher: Elsevier BV
Date: 05-2017
AI/ML on Edge
Publisher: Springer International Publishing
Date: 28-11-2022
AI/ML for Service Life Cycle at Edge
Publisher: Springer International Publishing
Date: 28-11-2022
Information modification and particle collisions in distributed computation
Publisher: AIP Publishing
Date: 09-2010
DOI: 10.1063/1.3486801
Abstract: Distributed computation can be described in terms of the fundamental operations of information storage, transfer, and modification. To describe the dynamics of information in computation, we need to quantify these operations on a local scale in space and time. In this paper we extend previous work regarding the local quantification of information storage and transfer, to explore how information modification can be quantified at each spatiotemporal point in a system. We introduce the separable information, a measure which locally identifies information modification events where separate inspection of the sources to a computation is misleading about its outcome. We apply this measure to cellular automata, where it is shown to be the first direct quantitative measure to provide evidence for the long-held conjecture that collisions between emergent particles therein are the dominant information modification events.
AI/ML for Computation Offloading
Publisher: Springer International Publishing
Date: 28-11-2022
A security framework for wireless sensor networks
Publisher: IEEE
Date: 2006
Distributed Computing Continuum Systems
Publisher: Springer International Publishing
Date: 28-11-2022
Energy-efficient VM-placement in cloud data center
Publisher: Elsevier BV
Date: 12-2018
Containerized Edge Computing Platforms
Publisher: Springer International Publishing
Date: 28-11-2022
Bonus computing: towards free-of-charge metacomputing in the public cloud
Publisher: Springer Science and Business Media LLC
Date: 02-12-2021
Constructing Performance-Predictable Clusters with Performance-Varying Resources of Clouds
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2016
Interweaving heterogeneous metaheuristics using harmony search
Publisher: IEEE
Date: 05-2009
ADAPT-POLICY: Task Assignment in Server Farms when the Service Time Distributionof Tasks is Not Known A Priori
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2014
DOI: 10.1109/TPDS.2013.76
Automatic Pain Assessment with Ultra-short Electrodermal Activity Signal
Publisher: ACM
Date: 27-03-2023
AI/ML for Service-Level Objectives
Publisher: Springer International Publishing
Date: 28-11-2022
Janus: A Generic QoS Framework for Software-as-a-Service Applications
Publisher: IEEE
Date: 09-2018
IoTSim-Edge: A simulation framework for modeling the behavior of Internet of Things and edge computing environments
Publisher: Wiley
Date: 07-01-2020
DOI: 10.1002/SPE.2787
A QoS-Aware Resource Allocation Controller for Function as a Service (FaaS) Platform
Publisher: Springer International Publishing
Date: 2017
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
Publisher: Springer Science and Business Media LLC
Date: 2010
Towards secure and practical consensus for blockchain based VANET
Publisher: Elsevier BV
Date: 02-2021
An online greedy allocation of VMs with non-increasing reservations in clouds
Publisher: Springer Science and Business Media LLC
Date: 28-11-2015
Editorial for Special Issue on “New Technologies and Applications for Wireless Communications & Mobile Cloud Computing”
Publisher: Springer Science and Business Media LLC
Date: 11-11-2012
Spark-Tuner: An Elastic Auto-Tuner for Apache Spark Streaming
Publisher: IEEE
Date: 10-2020
A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems
Publisher: Elsevier BV
Date: 11-2011
Data-Aware Scheduling of Scientific Workflows in Hybrid Clouds
Publisher: Springer International Publishing
Date: 2018
Robust task scheduling for volunteer computing systems
Publisher: Springer Science and Business Media LLC
Date: 04-09-2009
Effects of Replica Placement Algorithms on Performance of structured Overlay Networks
Publisher: IEEE
Date: 2007
Local measures of information storage in complex distributed computation
Publisher: Elsevier BV
Date: 11-2012
Exploiting Performance and Cost Diversity in the Cloud
Publisher: IEEE
Date: 06-2013
Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Local assortativity and growth of Internet
Publisher: Springer Science and Business Media LLC
Date: 26-06-2009
A Framework for the Local Information Dynamics of Distributed Computation in Complex Systems
Publisher: Springer Berlin Heidelberg
Date: 2014
Non-intrusive Slot Layering in Hadoop
Publisher: IEEE
Date: 05-2013
A Taxonomy of Supervised Learning for IDSs in SCADA Environments
Publisher: Association for Computing Machinery (ACM)
Date: 17-04-2020
DOI: 10.1145/3379499
Abstract: Supervisory Control and Data Acquisition (SCADA) systems play an important role in monitoring industrial processes such as electric power distribution, transport systems, water distribution, and wastewater collection systems. Such systems require a particular attention with regards to security aspects, as they deal with critical infrastructures that are crucial to organizations and countries. Protecting SCADA systems from intrusion is a very challenging task because they do not only inherit traditional IT security threats but they also include additional vulnerabilities related to field components (e.g., cyber-physical attacks). Many of the existing intrusion detection techniques rely on supervised learning that consists of algorithms that are first trained with reference inputs to learn specific information, and then tested on unseen inputs for classification purposes. This article surveys supervised learning from a specific security angle, namely SCADA-based intrusion detection. Based on a systematic review process, existing literature is categorized and evaluated according to SCADA-specific requirements. Additionally, this survey reports on well-known SCADA datasets and testbeds used with machine learning methods. Finally, we present key challenges and our recommendations for using specific supervised methods for SCADA systems.
Associative retrieval in spatial big data based on spreading activation with semantic ontology
Publisher: Elsevier BV
Date: 11-2017
Pareto-Optimal Cloud Bursting
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2014
HPC-Based Intelligent Volt/VAr Control of Unbalanced Distribution Smart Grid in the Presence of Noise
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2017
Holistic Approach for Studying Resource Failures at Scale
Publisher: IEEE
Date: 09-2019
Rescheduling for reliable job completion with the support of clouds
Publisher: Elsevier BV
Date: 10-2010
Application-Agnostic Power Monitoring in Virtualized Environments
Publisher: IEEE
Date: 05-2017
Cashing in on the Cache in the Cloud
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2012
Recent advances in autonomic provisioning of big data applications on clouds
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2015
MusicID: A Brainwave-Based User Authentication System for Internet of Things
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-05-2021
Energy efficient utilization of resources in cloud computing systems
Publisher: Springer Science and Business Media LLC
Date: 19-03-2010
LoRadar
Publisher: Association for Computing Machinery (ACM)
Date: 26-10-2020
Towards understanding the runtime configuration management of do-it-yourself content delivery network applications over public clouds
Publisher: Elsevier BV
Date: 07-2014
DCDedupe: Selective Deduplication and Delta Compression with Effective Routing for Distributed Storage
Publisher: Springer Science and Business Media LLC
Date: 06-02-2018
Distributing genome sequence databases with a publish/subscribe middleware
Publisher: IEEE
Date: 07-2007
DOI: 10.1109/SASO.2007.19
Dynamic Control of CPU Cap Allocations in Stream Processing and Data-Flow Platforms
Publisher: IEEE
Date: 09-2019
A BLAST service built on data indexed overlay network
Publisher: IEEE
Date: 2005
Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers
Publisher: Elsevier BV
Date: 05-2020
Data Sharing Pattern Aware Scheduling on Grids
Publisher: IEEE
Date: 2006
DOI: 10.1109/ICPP.2006.30
On Enabling Sustainable Edge Computing with Renewable Energy Resources
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2018
A simulated annealing approach for mobile location management
Publisher: Elsevier BV
Date: 02-2007
A clustering based hybrid system for biomarker selection and sample classification of mass spectrometry data
Publisher: Elsevier BV
Date: 08-2010
Cost Minimization for Rule Caching in Software Defined Networking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2016
Backfilling under Two-tier Virtual Machines
Publisher: IEEE
Date: 09-2012
A Multi-Objective Load Balancing System for Cloud Environments
Publisher: Oxford University Press (OUP)
Date: 02-01-2017
Online Scheduling Technique To Handle Data Velocity Changes in Stream Workflows
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2021
Evaluation Mechanism for Decentralized Collaborative Pattern Learning in Heterogeneous Vehicular Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
On Resource Efficiency of Workflow Schedules
Publisher: Elsevier BV
Date: 2014
Privacy-preserving anomaly detection in the cloud for quality assured decision-making in smart cities
Publisher: Elsevier BV
Date: 05-2019
A Dimension Reduction Model and Classifier for Anomaly-Based Intrusion Detection in Internet of Things
Publisher: IEEE
Date: 11-2017
A PARALLEL METAHEURISTIC FRAMEWORK BASED ON HARMONY SEARCH FOR SCHEDULING IN DISTRIBUTED COMPUTING SYSTEMS
Publisher: World Scientific Pub Co Pte Lt
Date: 02-2012
DOI: 10.1142/S0129054112400229
Abstract: A large number of optimization problems have been identified as computationally challenging and/or intractable to solve within a reasonable amount of time. Due to the NP-hard nature of these problems, in practice, heuristics account for the majority of existing algorithms. Metaheuristics are one very popular type of heuristics used for many of these optimization problems. In this paper, we present a novel parallel-metaheuristic framework, which effectively enables to devise parallel metaheuristics, particularly with heterogeneous metaheuristics. The core component of the proposed framework is its harmony-search-based coordinator. Harmony search is a recent breed of metaheuristic that mimics the improvisation process of musicians. The coordinator facilitates heterogeneous metaheuristics (forming a parallel metaheuristic) to escape local optima. Specifically, best solutions generated by these worker metaheuristics are maintained in the harmony memory of the coordinator, and they are used to form new-possibly better-harmonies (solutions) before actual solution sharing between workers occurs hence, their solutions are harmonized with each other. For the applicability validation and the performance evaluation, we have implemented a parallel hybrid metaheuristic using the framework for the task scheduling problem on multiprocessor computing systems (e.g., computer clusters). Experimental results verify that the proposed framework is a compelling approach to parallelize heterogeneous metaheuristics.
A Sustainable and User-Behavior-Aware Cyber-Physical System for Home Energy Management
Publisher: Association for Computing Machinery (ACM)
Date: 04-09-2019
DOI: 10.1145/3320075
Abstract: There is a growing trend for employing cyber-physical systems to help smart homes improve the comfort of residents. However, a residential cyber-physical system is different from a common cyber-physical system since it directly involves human interaction, which is full of uncertainty. The existing solutions could be effective for performance enhancement in some cases when no inherent and dominant human factors are involved. Besides, the rapidly rising interest in the deployments of cyber-physical systems at home does not normally integrate with energy management schemes, which is a central issue that smart homes have to face. In this article, we propose a cyber-physical-system-based energy management framework to enable a sustainable-edge computing paradigm while meeting the needs of home energy management and residents. This framework aims to enable the full use of renewable energy while reducing electricity bills for households. A prototype system was implemented using real-world hardware. The experiment results demonstrated that renewable energy is fully capable of supporting the reliable running of home appliances most of the time and electricity bills could be cut by up to 60% when our proposed framework was employed.
RBT-I: A novel approach for solving the Multiple Sequence Alignment problem
Publisher: IEEE
Date: 03-2008
CtrlCloud: Performance-Aware Adaptive Control for Shared Resources in Clouds
Publisher: IEEE
Date: 05-2017
Dynamic Parallel Flow Algorithms With Centralized Scheduling for Load Balancing in Cloud Data Center Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Reliable workflow execution in distributed systems for cost efficiency
Publisher: IEEE
Date: 10-2010
Hybrid Evolutionary Scheduling for Energy-Efficient Fog-Enhanced Internet of Things
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
A Dynamic Resource Controller for a Lambda Architecture
Publisher: IEEE
Date: 08-2017
DOI: 10.1109/ICPP.2017.42
A Bee Colony based optimization approach for simultaneous job scheduling and data replication in grid environments
Publisher: Elsevier BV
Date: 06-2013
Power Control Framework for Green Data Centers
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
Joint rate and queue based routing for vehicular ad-hoc networks
Publisher: IEEE
Date: 11-2016
DOI: 10.1109/LCN.2016.043
Gait-Watch: A Gait-based context-aware authentication system for smart watch via sparse coding
Publisher: Elsevier BV
Date: 10-2020
Short-Term Load Forecasting Based on the Transformer Model
Publisher: MDPI AG
Date: 10-12-2021
DOI: 10.3390/INFO12120516
Throughput Enhancement Through Selective Time Sharing and Dynamic Grouping
Publisher: IEEE
Date: 05-2013
Ultra-Dense Networks: A Holistic Analysis of Multi-Piece Path Loss, Antenna Heights, Finite Users and BS Idle Modes
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Profit-driven scheduling for cloud services with data access awareness
Publisher: Elsevier BV
Date: 04-2012
Intelligent Blockchain-Based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2022
Clustering techniques for dynamic location management in mobile computing
Publisher: Elsevier BV
Date: 04-2007
Sample Subset Optimization for Classifying Imbalanced Biological Data
Publisher: Springer Berlin Heidelberg
Date: 2011
A genetic ensemble approach for gene-gene interaction identification
Publisher: Springer Science and Business Media LLC
Date: 21-10-2010
Hierarchical kernel mixture models for the prediction of AIDS disease progression using HIV structural gp120 profiles
Publisher: Springer Science and Business Media LLC
Date: 2010
EvolvingSpace: A data centric framework for integrating bioinformatics applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2010
DOI: 10.1109/TC.2010.39
A Model Predictive Controller for Managing QoS Enforcements and Microarchitecture-Level Interferences in a Lambda Platform
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-0007
Hierarchical Recursive Resource Sharing for Containerized Applications
Publisher: Springer International Publishing
Date: 2018
Vehicle-Key: A Secret Key Establishment Scheme for LoRa-enabled IoV Communications
Publisher: IEEE
Date: 07-2022
Using simulated annealing to find lower bounds of localization with noisy measurements
Publisher: IEEE
Date: 05-2012
Decomposition-Based Stability Analysis for Isolated Power Systems With Reduced Conservativeness
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2020
Using genetic algorithm in reconstructing single individual haplotype with minimum error correction
Publisher: Elsevier BV
Date: 10-2012
DOI: 10.1016/J.JBI.2012.03.004
Abstract: Discovering ways to reconstruct reliable Single In idual Haplotypes (SIHs) becomes one of the core issues in the whole-genome research nowadays as previous research showed that haplotypes contain more information than in idual Singular Nucleotide Polymorphisms (SNPs). Although with advances in high-throughput sequencing technologies obtaining sequence information is becoming easier in today's laboratories, obtained sequences from current technologies always contain inevitable sequence errors and missing information. The SIH reconstruction problem can be formulated as bi-partitioning the input SNP fragment matrix into paternal and maternal sections to achieve minimum error correction (MEC) time the problem that is proved to be NP-hard. Several heuristics or greedy algorithms have already been designed and implemented to solve this problem, most of them however (1) do not have the ability to handle data sets with high error rates and/or (2) can only handle binary input matrices. In this study, we introduce a Genetic Algorithm (GA) based method, named GAHap, to reconstruct SIHs with lowest MEC times. GAHap is equipped with a well-designed fitness function to obtain better reconstruction rates. GAHap is also compared with existing methods to show its ability in generating highly reliable solutions.
SODAR: Nonobtrusive Off-Line Social Structure Reconstruction Through Passive Wireless Sensing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Improving Storage Efficiency for Raw Image Photo Repository by Exploiting Similarity
Publisher: IEEE
Date: 12-2016
The Next Grand Challenges: Integrating the Internet of Things and Data Science
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2018
A parallel island-based hybrid genetic algorithm for precedence-constrained applications to minimize energy consumption and makespan
Publisher: IEEE
Date: 10-2010
vmBBProfiler: a black-box profiling approach to quantify sensitivity of virtual machines to shared cloud resources
Publisher: Springer Science and Business Media LLC
Date: 25-03-2017
Big Data Management and Processing
Publisher: Chapman and Hall/CRC
Date: 19-05-2017
Platform Support for Mobile Edge Computing
Publisher: IEEE
Date: 06-2017
DTFA: A Dynamic Threshold-Based Fuzzy Approach for Power-Efficient VM Consolidation
Publisher: IEEE
Date: 11-2018
Modeling System-Level Power Consumption Profiles Using RAPL
Publisher: IEEE
Date: 11-2018
An energy-efficient permutation routing protocol for single-hop radio networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2004
A Lightweight Short-Term Photovoltaic Power Prediction for Edge Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
Assortativeness and information in scale-free networks
Publisher: Springer Science and Business Media LLC
Date: 24-12-2008
On efficient resource use for scientific workflows in clouds
Publisher: Elsevier BV
Date: 12-2018
Stretch Out and Compact: Workflow Scheduling with Resource Abundance
Publisher: IEEE
Date: 05-2013
Workload Characteristic Oriented Scheduler for MapReduce
Publisher: IEEE
Date: 12-2012
A New Explainable Deep Learning Framework for Cyber Threat Discovery in Industrial IoT Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Greening emerging IT technologies: techniques and practices
Publisher: Sociedade Brasileira de Computacao - SB
Date: 18-07-2017
Editorial for the special issue on big time series data
Publisher: Springer Science and Business Media LLC
Date: 13-02-2020
Energy-Efficient Data Center Networks Planning with Virtual Machine Placement and Traffic Configuration
Publisher: IEEE
Date: 12-2014
Multiple Frequency Selection in DVFS‐Enabled Processors to Minimize Energy Consumption
Publisher: Wiley
Date: 30-07-2012
Cooperative Web Caching Using Dynamic Interest-Tagged Filtered Bloom Filters
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2015
Running Industrial Workflow Applications in a Software-Defined Multicloud Environment Using Green Energy Aware Scheduling Algorithm
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2021
Secure authentication and load balancing of distributed edge datacenters
Publisher: Elsevier BV
Date: 02-2019
SLA-Aware Resource Scaling for Energy Efficiency
Publisher: IEEE
Date: 12-2016
Dynamic control of CPU usage in a lambda platform
Publisher: IEEE
Date: 09-2018
Fine-Grained, Adaptive Resource Sharing for Real Pay-Per-Use Pricing in Clouds
Publisher: IEEE
Date: 09-2015
SInC: Semantic approach and enhancement for relational data compression
Publisher: Elsevier BV
Date: 12-2022
Providing QoS guarantees to multiple classes of traffic in wireless sensor networks
Publisher: IEEE
Date: 03-2008
Evidence of Multiple Maximum Likelihood Points for a Phylogenetic Tree
Publisher: IEEE
Date: 2006
Transferable Tree-Based Ensemble Model for Non-Intrusive Load Monitoring
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
SeDaSC: Secure Data Sharing in Clouds
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2017
Editorial for IEEE Access Special Section on Theoretical Foundations for Big Data Applications: Challenges and Opportunities
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Efficient allocation of resources in multiple heterogeneous Wireless Sensor Networks
Publisher: Elsevier BV
Date: 2014
A global maximum likelihood super-quartet phylogeny method
Publisher: PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO.
Date: 2007
A note on advances in scheduling algorithms for Cyber-Physical-Social workflows
Publisher: Elsevier BV
Date: 07-2020
Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning
Publisher: Springer Berlin Heidelberg
Date: 2013
An Adaptive Multi-objective Salp Swarm Algorithm for Efficient Demand Side Management
Publisher: IEEE
Date: 12-2020
Efficient threshold password-authenticated secret sharing protocols for cloud computing
Publisher: Elsevier BV
Date: 06-2019
Related Organisations
No related organisations have been discovered for Albert Zomaya.
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