NDLI: Deadline Aware Virtual Machine Scheduler for Grid and Cloud Computing

Content Provider	IEEE Xplore Digital Library
Author	Khalid, O. Maljevic, I. Anthony, R. Petridis, M. Parrott, K. Schulz, M.
Copyright Year	2010
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.
Starting Page	85
Ending Page	90
File Size	543626
Page Count	6
File Format	PDF
ISBN	9781424467013
e-ISBN	9781424467020
DOI	10.1109/WAINA.2010.107
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-20
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Xen Pilot jobs Cloud computing Uncertainty Delay effects Grid Cluster Virtual machining Application virtualization ATLAS Processor scheduling High performance computing Job Scheduling Signal processing algorithms Cloud Isolation technology Hardware HPC Virtualization
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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