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
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