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Deadline aware virtual machine scheduler for grid and cloud computing

Deadline aware virtual machine scheduler for grid and cloud computing

Khalid, Omer, Maljevic, Ivo, Anthony, Richard, Petridis, Miltos, Parrott, Kevin and Schulz, Markus (2010) Deadline aware virtual machine scheduler for grid and cloud computing. In: Proceedings: 24th IEEE International Conference on Advanced Information Networking and Applications Workshops WAINA 2010. IEEE Computer Society, Conference Publications Services, Los Alamitos, CA, USA, pp. 85-90. ISBN 978 0 7695 4019 1 (doi:10.1109/WAINA.2010.107)

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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 preformance 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.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings: 24th IEEE International Conference on Advanced Information Networking and Applications Workshops WAINA 2010
Additional Information: [1] Available online: 7 June 2010. [2] This paper was presented at the 24th IEEE International Conference on Advanced Information Networking and Applications Workshops, (WAINA 2010), held from 20-23 April 2010 in Perth, Australia. [3] Sponsored by IEEE Technical Committee Distributed Processing (TCDP) and the IEEE Computer Society. [4] INSPEC Accession Number: 11362910
Uncontrolled Keywords: Xen, virtualization, grid, pilot jobs, HPC, cloud, job scheduling, ATLAS
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Science
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5529

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