Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

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

Authors
BaoLi Yuan
Corresponding Author
BaoLi Yuan
Available Online December 2015.
DOI
https://doi.org/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.
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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmcce-15.2015.56How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.56
DO  - https://doi.org/10.2991/icmmcce-15.2015.56
ID  - Yuan2015/12
ER  -