NDLI: Adaptive Task Scheduling in Grid Computing Environments

Content Provider	IEEE Xplore Digital Library
Author	Michalas, A. Louta, M.
Copyright Year	2009
Abstract	In this study the task scheduling problem in Grid computing environments has been addressed. To resolve the problem a set of Grid Services are defined and implemented conforming to the OGSA standards. The proposed scheduling architecture is semantically enhanced and provides the most appropriate assignment of tasks to computing resources, given the current load conditions of each computing resource and the network status. The Ant Colony Optimization algorithm (ACO) was used to effectively assign tasks to computing resources. First experimental results indicate that the proposed framework produces good results in comparison to other well known schemes considered (e.g. round robin).
Starting Page	115
Ending Page	120
File Size	295035
Page Count	6
File Format	PDF
ISBN	9780769538945
DOI	10.1109/SMAP.2009.25
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing load balancing Peer to peer computing Service oriented architecture semantics OWL grid services Distributed computing Adaptive scheduling Processor scheduling ant colony algorithm Computer architecture Grid computing Computer networks task scheduling Resource management
Content Type	Text
Resource Type	Article

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Adaptive Task Scheduling in Grid Computing Environments