Dynamic Scheduling of Parallel Jobs with QoS Demands in Multiclusters and Grids

This paper addresses the dynamic scheduling of parallel jobs with QoS demands (soft-deadlines) in multi-clusters and grids. Three metrics (over-deadline, makespan and idle-time) are combined with variable weights to evaluate the scheduling performance. These three metrics are used to measure the ext...

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Vydáno v:	Fifth IEEE/ACM International Workshop on Grid Computing s. 402 - 409
Hlavní autoři:	He, Ligang, Jarvis, Stephen A., Spooner, Daniel P., Chen, Xinuo, Nudd, Graham R.
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	Washington, DC, USA IEEE Computer Society 08.11.2004 IEEE
Edice:	ACM Conferences
Témata:	Computer science Contracts Dynamic scheduling General and reference General and reference > Cross-computing tools and techniques General and reference > Cross-computing tools and techniques > Performance Grid computing Helium Muscles Optimization Processor scheduling Resource management Software and its engineering Software and its engineering > Software creation and management Software and its engineering > Software creation and management > Software verification and validation Software and its engineering > Software creation and management > Software verification and validation > Software defect analysis Software and its engineering > Software organization and properties Software and its engineering > Software organization and properties > Software system structures Software and its engineering > Software organization and properties > Software system structures > Distributed systems organizing principles Theory of computation Theory of computation > Design and analysis of algorithms Theory of computation > Design and analysis of algorithms > Approximation algorithms analysis Theory of computation > Design and analysis of algorithms > Approximation algorithms analysis > Scheduling algorithms Theory of computation > Design and analysis of algorithms > Online algorithms Theory of computation > Design and analysis of algorithms > Online algorithms > Online learning algorithms Theory of computation > Design and analysis of algorithms > Online algorithms > Online learning algorithms > Scheduling algorithms Theory of computation > Theory and algorithms for application domains Theory of computation > Theory and algorithms for application domains > Machine learning theory Theory of computation > Theory and algorithms for application domains > Machine learning theory > Reinforcement learning Theory of computation > Theory and algorithms for application domains > Machine learning theory > Reinforcement learning > Sequential decision making Throughput
ISBN:	0769522564, 9780769522562
ISSN:	1550-5510
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