Research of cloud computing task scheduling algorithm based on improved genetic algorithm

DOI

10.2991/iccsee.2013.537How to use a DOI?

Keywords

cloud computing, genetic algorithm, task scheduling

Abstract

Use genetic algorithm for task allocation and scheduling has get more and more scholars' attention. How to reasonable use of computing resources make the total and average time of complete the task shorter and cost smaller is an important issue. The paper presents a genetic algorithm consider total task completion time, average task completion time and cost constraint. Compared with algorithm that only consider cost constraint (CGA) and adaptive algorithm that only consider total task completion time by the simulation experiment. Experimental results show that this algorithm is a more effective task scheduling algorithm in the cloud computing environment.

Copyright

© 2013, 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  - Junwei GE
AU  - Yongsheng YUAN
PY  - 2013/03
DA  - 2013/03
TI  - Research of cloud computing task scheduling algorithm based on improved genetic algorithm
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2134
EP  - 2137
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.537
DO  - 10.2991/iccsee.2013.537
ID  - GE2013/03
ER  -