Research on a Resource Scheduling Scheme of Cloud Compute Source Load Balancing Based on Genetic Algorithm

DOI

10.2991/icmmcce-15.2015.56How to use a DOI?

Keywords

Genetic Algorithms, Cloud Computing, Resource Scheduling, Load Balancing

Abstract

The schedule of resources and tasks in cloud computing have an important impact on the overall performance and operating of cloud computing. To solve the prone uneven load node when the cloud perform massively parallel tasks, which led to the entire cloud computing system performance degradation and inefficient problem, this paper research on how genetic algorithm achieve load balancing in cloud computing on the basis of resource scheduling and genetic algorithm analysis cloud.

Copyright

© 2015, 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  - BaoLi Yuan
PY  - 2015/12
DA  - 2015/12
TI  - Research on a Resource Scheduling Scheme of Cloud Compute Source Load Balancing Based on Genetic Algorithm
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 267
EP  - 270
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.56
DO  - 10.2991/icmmcce-15.2015.56
ID  - Yuan2015/12
ER  -