Research on a Resource Scheduling Scheme of Cloud Compute Source Load Balancing Based on Genetic Algorithm
- BaoLi Yuan
- Corresponding Author
- BaoLi Yuan
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.56How to use a DOI?
- Genetic Algorithms, Cloud Computing, Resource Scheduling, Load Balancing
- 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.
- 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 -