ORCID Profile
0000-0003-1130-0888
Current Organisations
University of Sydney
,
Swinburne University of Technology
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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.
Distributed Computing | Data mining and knowledge discovery | Data engineering and data science | Stream and sensor data | Data management and data science | Concurrent Programming | Networking and Communications
Expanding Knowledge in the Information and Computing Sciences | Mobile Data Networks and Services | Application Tools and System Utilities |
Publisher: IEEE
Date: 10-2013
Publisher: SAGE Publications
Date: 24-05-2010
Abstract: The concept of cloud computing continues to spread widely, as it has been accepted recently. Cloud computing has many unique advantages which can be utilized to facilitate workflow execution. Instance-intensive cost-constrained cloud workflows are workflows with a large number of workflow instances (i.e. instance intensive) bounded by a certain budget for execution (i.e. cost constrained) on a cloud computing platform (i.e. cloud workflows). However, there are, so far, no dedicated scheduling algorithms for instance-intensive cost-constrained cloud workflows. This paper presents a novel compromised-time-cost scheduling algorithm which considers the characteristics of cloud computing to accommodate instance-intensive cost-constrained workflows by compromising execution time and cost with user input enabled on the fly. The simulation performed demonstrates that the algorithm can cut down the mean execution cost by over 15% whilst meeting the user-designated deadline or shorten the mean execution time by over 20% within the user-designated execution cost.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Wiley
Date: 27-02-2020
DOI: 10.1002/SPE.2814
Publisher: Wiley
Date: 27-08-2012
DOI: 10.1002/CPE.1636
Publisher: ACM
Date: 07-08-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2023
Publisher: Elsevier BV
Date: 02-2011
Publisher: IEEE
Date: 08-2014
DOI: 10.1109/SKG.2014.37
Publisher: Natural Sciences Publishing
Date: 02-2013
DOI: 10.12785/AMIS/071L15
Publisher: ACM
Date: 26-05-2014
Publisher: IEEE
Date: 06-2015
Publisher: IEEE
Date: 12-2011
Publisher: Association for Computing Machinery (ACM)
Date: 02-2014
DOI: 10.1145/2559938
Abstract: Scientific processes are usually time constrained with overall deadlines and local milestones. In scientific workflow systems, due to the dynamic nature of the underlying computing infrastructures such as grid and cloud, execution delays often take place and result in a large number of temporal violations. Since temporal violation handling is expensive in terms of both monetary costs and time overheads, an essential question aroused is “do we need to handle every temporal violation in scientific workflow systems?” The answer would be “true” according to existing works on workflow temporal management which adopt the philosophy similar to the handling of functional exceptions, that is, every temporal violation should be handled whenever it is detected. However, based on our observation, the phenomenon of self-recovery where execution delays can be automatically compensated for by the saved execution time of subsequent workflow activities has been entirely overlooked. Therefore, considering the nonfunctional nature of temporal violations, our answer is “not necessarily true.” To take advantage of self-recovery, this article proposes a novel adaptive temporal violation handling point selection strategy where this phenomenon is effectively utilised to avoid unnecessary temporal violation handling. Based on simulations of both real-world scientific workflows and randomly generated test cases, the experimental results demonstrate that our strategy can significantly reduce the cost on temporal violation handling by over 96% while maintaining extreme low violation rate under normal circumstances.
Publisher: ACM
Date: 30-01-2023
Publisher: Springer Science and Business Media LLC
Date: 25-10-2016
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.
Publisher: Elsevier
Date: 2015
Publisher: IEEE
Date: 07-2018
Publisher: American Astronomical Society
Date: 26-04-2013
Publisher: Elsevier BV
Date: 03-2011
Publisher: IEEE
Date: 08-2017
Publisher: ACM
Date: 07-11-2017
Publisher: IEEE
Date: 2010
Publisher: IEEE
Date: 04-2007
Publisher: Elsevier BV
Date: 10-2010
Publisher: Springer Science and Business Media LLC
Date: 15-03-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2023
Publisher: ACM
Date: 26-05-2014
Publisher: IEEE
Date: 07-2011
Publisher: IEEE
Date: 05-2012
Publisher: Wiley
Date: 19-05-2017
DOI: 10.1002/CPE.4167
Publisher: IEEE
Date: 09-2011
DOI: 10.1109/GRID.2011.14
Publisher: Inderscience Publishers
Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2022
Publisher: IEEE
Date: 08-2016
Publisher: Springer New York
Date: 11-2011
Publisher: Springer New York
Date: 11-2012
Publisher: Springer New York
Date: 11-2012
Publisher: IEEE
Date: 11-2014
Publisher: Springer New York
Date: 11-2012
Publisher: Springer New York
Date: 11-2012
Publisher: IEEE
Date: 12-2011
Publisher: Springer International Publishing
Date: 2016
Publisher: IEEE
Date: 12-2011
DOI: 10.1109/DASC.2011.95
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Publisher: IEEE
Date: 12-2008
Publisher: Elsevier
Date: 2013
Publisher: Elsevier BV
Date: 03-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Springer International Publishing
Date: 2018
Publisher: IEEE
Date: 11-2015
Publisher: IEEE
Date: 12-2010
Publisher: IEEE
Date: 05-2013
Publisher: Wiley
Date: 21-08-2011
DOI: 10.1002/SPE.1052
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Publisher: Springer International Publishing
Date: 2019
Publisher: Springer International Publishing
Date: 2019
Publisher: IEEE
Date: 05-2016
Publisher: Wiley
Date: 04-07-2013
DOI: 10.1002/CPE.3084
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
DOI: 10.1109/TPDS.2013.20
Publisher: Informa UK Limited
Date: 06-2012
Publisher: IEEE
Date: 05-2015
Publisher: IEEE
Date: 2010
Publisher: IEEE
Date: 12-2016
Start Date: 01-2024
End Date: 01-2027
Amount: $713,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2020
End Date: 12-2024
Amount: $390,000.00
Funder: Australian Research Council
View Funded Activity