ORCID Profile
0000-0003-0161-3055
Current Organisations
Data61
,
Aalborg University
,
Seoul National University
,
CSIRO
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Publisher: IEEE
Date: 2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-04-2021
Publisher: Elsevier BV
Date: 12-2015
Publisher: Aalborg University
Date: 2022
Publisher: SAGE Publications
Date: 03-2018
Abstract: Network virtualization is one of the most promising technologies for future networking and considered as a critical information technology resource that connects distributed, virtualized cloud computing services and different components such as storage, servers, and application. Network virtualization allows multiple virtual networks to coexist on the same shared physical infrastructure simultaneously. One of crucial factors in network virtualization is virtual network embedding which provisions a method to allocate physical substrate resources to virtual network requests. In this article, we investigate virtual network embedding strategies and related issues for resource allocation of an Internet provider to efficiently embed virtual networks that are requested by virtual network operators who share the same infrastructure provided by the Internet provider. In order to achieve that goal, we design a heuristic virtual network embedding algorithm that simultaneously embeds virtual nodes and virtual links of each virtual network request onto the physic infrastructure. Via extensive simulations, we demonstrate that our proposed scheme significantly improves the performance of virtual network embedding by enhancing the long-term average revenue as well as acceptance ratio and resource utilization of virtual network requests compared to prior algorithms.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: Springer Science and Business Media LLC
Date: 27-10-2022
DOI: 10.1038/S41598-022-22612-3
Abstract: In recent years, industrial manufacturing has undergone massive technological changes that embrace digitalization and automation towards the vision of intelligent manufacturing plants. With the aim of maximizing efficiency and profitability in production, an important goal is to enable flexible manufacturing, both, for the customer (desiring more in idualized products) and for the manufacturer (to adjust to market demands). Manufacturing-as-a-service can support this through manufacturing plants that are used by different tenants who utilize the machines in the plant, which are offered by different providers. To enable such pay-per-use business models, Distributed Ledger Technology (DLT) is a viable option to establish decentralized trust and traceability. Thus, in this paper, we study potential DLT technologies for efficient and intelligent integration of DLT-based solutions in manufacturing environments. We propose a general framework to adapt DLT in manufacturing, and then we introduce the use case of shared manufacturing , which we utilize to study the communication and computation efficiency of selected DLTs in resource-constrained wireless IoT networks.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Publisher: Frontiers Media SA
Date: 13-05-2021
DOI: 10.3389/FRCMN.2021.621264
Abstract: In this paper, we propose a global digital platform to avoid and combat epidemics by providing relevant real-time information to support selective lockdowns. It leverages the pervasiveness of wireless connectivity while being trustworthy and secure. The proposed system is conceptualized to be decentralized yet federated, based on ubiquitous public systems and active citizen participation. Its foundations lie on the principle of informational self-determination. We argue that only in this way it can become a trustworthy and legitimate public good infrastructure for citizens by balancing the asymmetry of the different hierarchical levels within the federated organization while providing highly effective detection and guiding mitigation measures toward graceful lockdown of the society. To exemplify the proposed system, we choose a remote patient monitoring as use case. This use case is evaluated considering different numbers of endorsed peers on a solution that is based on the integration of distributed ledger technologies and NB-IoT (narrowband IoT). An experimental setup is used to evaluate the performance of this integration, in which the end-to-end latency is slightly increased when a new endorsed element is added. However, the system reliability, privacy, and interoperability are guaranteed. In this sense, we expect active participation of empowered citizens to supplement the more usual top-down management of epidemics.
Publisher: Springer International Publishing
Date: 2022
Publisher: IEEE
Date: 06-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
No related grants have been discovered for Duc-Lam Nguyen.