吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于联盟感知的混合云环境中IaaS提供者收益最优化算法

孙宝刚   

  1. 重庆人文科技学院 计算机工程学院, 重庆 401524
  • 收稿日期:2016-10-20 出版日期:2017-11-26 发布日期:2017-11-29
  • 通讯作者: 孙宝刚 E-mail:sbgxsky@sohu.com

Revenue Optimization Algorithm for IaaS Providers Based onAlliance Perception in Hybrid Cloud Environment

SUN Baogang   

  1. School of Computer Engineering, Chongqing College of Humanities, Science and Technology, Chongqing 401524, China
  • Received:2016-10-20 Online:2017-11-26 Published:2017-11-29
  • Contact: SUN Baogang E-mail:sbgxsky@sohu.com

摘要: 在降低云服务提供者资源成本的条件下, 为进一步提高云服务提供者的收益, 提出一种混合云环境中基于联盟感知的收益最优化算法. 该算法通过建立云服务提供者联盟, 并考虑两种类型虚拟机的请求: 现货虚拟机和按需虚拟机, 使处于负载峰值时的云服务提供者依然可通过外包请求至联盟其他成员或终止现货虚拟机的方式
获得最大化收益.

关键词: 联盟感知, 混合云, 收益最优化

Abstract: In order to further improve the revenue of cloud service providers, the author proposed a revenue optimization algorithm based on alliance perception in hybrid cloud environment under the condition of reducing the cost of cloud service provider resources. The algorithm built a cloud service provider alliance, and considered  two types of virtual machine request: spot virtual machine and ondemand virtual machine. The cloud service providers at the peak load could still get the maximum revenue by outsourcing requests to other members of the alliance or the way of terminating spot virtual machine.

Key words: hybrid cloud, alliance perception, revenue optimization

中图分类号: 

  • TP393