摘要
为解决云联盟环境下跨数据中心的资源调度问题,在满足数据中心负载率达到均衡的前提下,实现供应商利益的最大化,使得用户的任务能够在最短的时间内完成部署,提出云联盟环境下跨数据中心的资源调度系统框架。介绍系统的结构和功能,分4个层次描述系统详细设计,给出系统采用的核心算法——蚁群算法,实现了该系统的开发。该系统能够整合云供应商的现有资源信息,为云用户提供便利服务,满足大规模复杂的用户需求,提高云联盟之间的资源调度效率和收益。
To solve the problem of resource scheduling for cloud federation across multi-data center,a framework of resource scheduling system for cloud federation across multi-data center was constructed which maximized benefits of the cloud providers as well as completed the deployment of the user’s tasks in the shortest possible time on the premise that the load rate of data centers reached balance.Firstly,the system structure and functions were introduced.Secondly,the design of the system was detailed in four levels.Thirdly,the employment of core algorithm which was ant colony algorithm was descrided.And lastly,the system development was realized.The system can provide the cloud users convenient services by integrating the existing information of cloud providers.It not only meets the large-scale demand of users,but also improves the efficiency and benefits of resource scheduling for cloud federation.
出处
《计算机工程与设计》
北大核心
2015年第2期546-550,F0003,共6页
Computer Engineering and Design
基金
国家自然科学基金项目(71172043
71072077)
国家科技支撑基金项目(2013BAH13F01
2012BAH93F04)
中央高校基本科研业务费专项基金项目(2012-IB-063
2012-IB-060)
关键词
云联盟
资源调度
蚁群算法
负载均衡
系统开发
cloud federation
resource scheduling
ant colony algorithm
load balancing
system development
