Title of article
A Load Balancing Model Based on Cloud Partitioning for the Public Cloud
Author/Authors
Xu, Gaochao Jilin University - College of Computer Science and Technology, China , Pang, Junjie Jilin University - College of Software, China , Fu, Xiaodong Jilin University - College of Computer Science and Technology, China
From page
34
To page
39
Abstract
Load balancing in the cloud computing environment has an important impact on the performance. Good load balancing makes cloud computing more efficient and improves user satisfaction. This article introduces a better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. The algorithm applies the game theory to the load balancing strategy to improve the efficiency in the public cloud environment.
Keywords
load balancing model , public cloud , cloud partition , game theory
Journal title
Tsinghua Science and Technology
Journal title
Tsinghua Science and Technology
Record number
2535529
Link To Document