会议专题

Location-Aware Multi-user Resource Allocation in Distributed Clouds

  Resource allocation for multi-user across multiple data centers is an important problem in cloud computing environments.Many geographically-distributed users may request virtualized resources simultaneously.And the distances from users to allocated resources have much impact on the quality of service (QoS) in multiple data centers environment.Most existing methods do not take all these factors into account when allocating resources.They usually result in poor runtime performance of users’ virtual computing environment and the remarkable difference of users’ QoS.In this paper,we propose RAMD,a resource allocation algorithm based on multi-stage decision in multiple data centers.The RAMD algorithm allocate VMs to users,taking into account the correlation and interaction between multiple users,so as to minimize the sum of all users’ service distances (i.e.determined by user location and network distance of virtual machines).Experimental results show that the algorithm can effectively deal with the cloud resource allocation for multi-user across multiple data centers.It can improve the runtime performance of users virtualized resources and reduce the difference of QoS.

resource allocation data centers location-aware multi-user multiple data centers

Jiaxin Li Dongsheng Li Jing Zheng Yong Quan

National Key Laboratory for Parallel and Distributed Processing,National University of Defense Techn Information Center of Logistics Department,Beijing,China School of Computer Science,National University of Defense Technology,Changsha,China

国际会议

ACA,Advanced Computer Architecture(2014年全国计算机体系结构学术会议)

沈阳

英文

152-162

2014-08-23(万方平台首次上网日期,不代表论文的发表时间)