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/).
Cite this article
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 -