A LOAD-ADAPATIVE CLOUD RESOURCE SCHEDULING MODEL BASED ON ANT COLONY ALGORITHM

被引：0

作者：

Lu, Xin ^{[1
]}

Gu, Zilong ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu, Peoples R China

来源：

2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS | 2011年

关键词：

cloud computing; ant colony algorithm; adaptive load;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Dynamic scheduling cloud resources according to the change of the load are key to improve cloud computing on-demand service capabilities. This paper proposes a load-adaptive cloud resource scheduling model based on ant colony algorithm. By real-time monitoring virtual machine of performance parameters, once judging overload, it schedules fast cloud resources using ant colony. algorithm to bear some load on the load -free node. So that it can meet changing load requirements. By analyzing an example result, the model can meet the goals and requirements of self-adaptive cloud resources scheduling and improve the efficiency of the resource utilization.

引用

页码：296 / 300

页数：5