Task Scheduling Algorithm in Cloud Computing Based on Fairness Load Balance and Minimum Completion Time

DOI

10.2991/nceece-15.2016.154How to use a DOI?

Keywords

Cloud computing; Fairness; The minimum completion time; Load balancing; Task scheduling.

Abstract

Task scheduling is one of the key technology of cloud computing, its main goal is to satisfy the fairness of the system resources and tasks more effectively, and at the same time as much as possible to realize the load balance of system resources and reduce the completion time. Combined with the advantages of genetic Algorithm, we put forward a Fair and Balanced and effective genetic Scheduling Algorithm FBEGSA (Fair Balanced Efficient Genetic Scheduling Algorithm).The experimental results show that the algorithm is useful to task scheduling.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yizhen Wang
AU  - Yongqiang Sun
AU  - Yi Sun
PY  - 2015/12
DA  - 2015/12
TI  - Task Scheduling Algorithm in Cloud Computing Based on Fairness Load Balance and Minimum Completion Time
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 836
EP  - 842
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.154
DO  - 10.2991/nceece-15.2016.154
ID  - Wang2015/12
ER  -