An Improved Task Scheduling Algorithm Based on Multi-QoS in Cloud Computing

Article Preview

Abstract:

For the issues of quality of service (QoS) in the cloud computing raised by users, this paper proposes a strategy for QoS classification and builds tasks' priority function modeling and through priority scheduling tasks, assigning tasks to the reasonable resources, and finally to complete the task efficiently, improve the utilization of resources.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

512-515

Citation:

Online since:

April 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Ming G, Li H. An Improved Algorithm Based on Max-Min for Cloud Task Scheduling[M]/Recent Advances in Computer Science and Information Engineering. Springer Berlin Heidelberg, 2012: 217-223.

DOI: 10.1007/978-3-642-25789-6_32

Google Scholar

[2] Lee Y H, Leu S, Chang R S. Improving job scheduling algorithms in a grid environment[J]. Future generation computer systems, 2011, 27(8): 991-998.

DOI: 10.1016/j.future.2011.05.014

Google Scholar

[3] Krishnamoorthy M, Ernst A T, Baatar D. Algorithms for large scale shift minimisation personnel task scheduling problems[J]. European Journal of Operational Research, 2012, 219(1): 34-48.

DOI: 10.1016/j.ejor.2011.11.034

Google Scholar

[4] Li J F, Peng J. Task scheduling algorithm based on improved genetic algorithm in cloud computing environment[J]. Journal of Computer Applications, 2011, 31(1): 184-186.

DOI: 10.3724/sp.j.1087.2011.00184

Google Scholar