Research on Multi-QoS and Trusted Task Scheduling in Cloud Computing Environment
Multi-QoS and Trusted resource management and Task Scheduling are key problem in cloud computing. This paper presented an effective Multi-QoS and Trusted resource management model and Task Scheduling algorithm in Cloud Computing Environment. By using the idea of fuzzy clustering for reference, the p...
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Published in | Applied Mechanics and Materials Vol. 263-266; pp. 1892 - 1896 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.01.2013
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Subjects | |
Online Access | Get full text |
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Summary: | Multi-QoS and Trusted resource management and Task Scheduling are key problem in cloud computing. This paper presented an effective Multi-QoS and Trusted resource management model and Task Scheduling algorithm in Cloud Computing Environment. By using the idea of fuzzy clustering for reference, the proposed approach can subtly schedule the Cloud tasks to appropriate resources that exactly meets its’ multi-QoS needs of resources. Considering the credibility of cloud resources, the credibility and trusty of task scheduling has been dramatically improved. |
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Bibliography: | Selected, peer reviewed papers from the 2012 International Conference on Information Technology and Management Innovation (ICITMI 2012), November 10-11, 2012, Guangzhou, China |
ISBN: | 9783037855744 3037855746 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.263-266.1892 |