Adaptive Task Scheduling in Grid Computing Environments

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 ass...

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Bibliographic Details
Main Authors: Michalas, A., Louta, M.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive scheduling
ant colony algorithm
Cloud computing
Computer architecture
Computer networks
Distributed computing
Grid computing
grid services
load balancing
Peer to peer computing
Processor scheduling
Resource management
semantics OWL
Service oriented architecture
task scheduling
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Summary: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).
DOI:10.1109/SMAP.2009.25