NDLI: On-line automatic resource selection in distributed computing

Content Provider	IEEE Xplore Digital Library
Author	Hao Liu Sorensen, S.-A. Nazir, A.
Copyright Year	2009
Description	Author affiliation: Department of Computer Science, University College London, United Kingdom (Hao Liu; Sorensen, S.-A.; Nazir, A.)
Abstract	A key problem in executing performance critical applications on distributed computing environments (e.g. the Grid) is the resource selection. Research related to ”automatic resource selection” aims to select suitable resources on behalf of users to optimize the execution performance. However, most of current approaches are based on the static principle (i.e. resource selection is performed prior to execution) and need detailed application-specific information. In the paper, we introduce a novel on-line automatic resource selection approach. This approach is based on a simple control theory: the application continuously reports the Execution Satisfaction Degree (ESD) to the middleware Application Agent (AA), which relies on the reported ESD values to learn the execution behavior and tune the execution environment by adding/replacing/deleting resources at runtime in order to satisfy users' performance requirements. We use a utility-based learning and tuning algorithm to enable the automatic resource tuning/selection. A typical 2-D heat equation application is used to validate the approach. Results show that without resource or application knowledge being provided in advance, the approach is able to find the best-effort resources to satisfy users' execution requirements, and classify resources according to their contribution made to the application.
Starting Page	1
Ending Page	9
File Size	339785
Page Count	9
File Format	PDF
ISBN	9781424450114
ISSN	15525244
DOI	10.1109/CLUSTR.2009.5289181
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distributed computing Application software Resource management Electrostatic discharge Middleware Quality of service Processor scheduling High performance computing Fluid dynamics Computer science
Content Type	Text
Resource Type	Article

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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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