Cloud service reliability modelling and optimal task scheduling

Cloud computing enables service sharing in a massive scale via network access to a pool of configurable computing resources. It has to allocate resources adaptively for tasks and applications to be executed effectively and reliably in a large scale, highly heterogeneous environment. Resource allocat...

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Veröffentlicht in:	IET communications Jg. 11; H. 2; S. 161 - 167
Hauptverfasser:	Cui, Hongyan, Li, Yang, Liu, Xiaofei, Ansari, Nirwan, Liu, Yunjie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 26.01.2017
Schlagworte:	Algorithms Cloud computing cloud scheduling problem cloud service reliability modelling Clouds computational complexity configurable computing resources GA‐CAS algorithm genetic algorithms genetic algorithm‐based chaotic ant swarm algorithm heterogeneous environment Markov processes Markov‐based method multiobjective optimisation problem Multiple objective analysis network access Networks NP‐hard problem optimal task scheduling optimisation Optimization Reliability reliability analysis resource allocation scheduling service sharing software reliability task analysis Task scheduling GA-CAS algorithm multiobjective optimisation problem software reliability service sharing genetic algorithms genetic algorithm-based chaotic ant swarm algorithm task analysis cloud service reliability modelling optimal task scheduling optimisation resource allocation configurable computing resources NP-hard problem reliability analysis Markov-based method cloud scheduling problem scheduling Markov processes heterogeneous environment cloud computing network access computational complexity
ISSN:	1751-8628, 1751-8636
Online-Zugang:	Volltext
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