Deadline aware virtual machine scheduler for scientific grids and cloud computing

O. Khalid, I. Maljevic, R. Anthony, Miltiadis Petridis, K. Parrott, M. Schulz

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Virtualization technology has enabled applications to be decoupled from the underlying hardware providing the benefits of portability, better control over execution environment and isolation. It has been widely adopted in scientific grids and commercial clouds. Since virtualization, despite its benefits incurs a performance penalty, which could be significant for systems dealing with uncertainty such as High Performance Computing (HPC) applications where jobs have tight deadlines and have dependencies on other jobs before they could run. The major obstacle lies in bridging the gap between performance requirements of a job and performance offered by the virtualization technology if the jobs were to be executed in virtual machines. In this paper, we present a novel approach to optimize job deadlines when run in virtual machines by developing a deadline-aware algorithm that responds to job execution delays in real time, and dynamically optimizes jobs to meet their deadline obligations. Our approaches borrowed concepts both from signal processing and statistical techniques, and their comparative performance results are presented later in the paper including the impact on utilization rate of the hardware resources.
Original languageEnglish
Title of host publicationIEEE 24th International Conference on Advanced Information Networking and Applications Workshops (WAINA)
PublisherIEEE
Pages85-90
Number of pages6
ISBN (Print)9781424467013
DOIs
Publication statusPublished - 23 Apr 2010
EventIEEE 24th International Conference on Advanced Information Networking and Applications Workshops (WAINA) - Perth, WA, 20-23 April, 2010
Duration: 23 Apr 2010 → …

Workshop

WorkshopIEEE 24th International Conference on Advanced Information Networking and Applications Workshops (WAINA)
Period23/04/10 → …

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  • Cite this

    Khalid, O., Maljevic, I., Anthony, R., Petridis, M., Parrott, K., & Schulz, M. (2010). Deadline aware virtual machine scheduler for scientific grids and cloud computing. In IEEE 24th International Conference on Advanced Information Networking and Applications Workshops (WAINA) (pp. 85-90). IEEE. https://doi.org/10.1109/WAINA.2010.107