Download (.pdf)Evaluate the Performance and Scalability of Image Deployment in Virtual Data Center
by Kejiang Ye
Kejiang Ye, Xiaohong Jiang, Qinming He, Xing Li and Jianhai Chen,
2010 IFIP International Conference on Network and Parallel Computing (NPC'2010), Lecture Notes in Computer Science, Volume 6289, 2010
Virtualization technology plays an important role in modern data center, as it creates an opportunity to improve... more Virtualization technology plays an important role in modern data center, as it creates an opportunity to improve resource utilization, reduce energy costs, and ease server management. However, virtual machine deployment issues arise when allocating virtual machines into single or multiple physical servers. In this paper, we explore the performance and scalability issues for virtual machine deployment in a virtualized data center. We first evaluate the image scalability when allocating multiple VMs per physical server using four typical servers in data center. Then we investigate how the overall efficiency will be affected when deploying M virtual machines into N physical machines with different deployment strategies. Experimental results show that: (i) There is a resource bottleneck when deploying single type virtual machine server into single physical server, except for composite workloads. (ii) More physical machines do not always benefit for some specific applications to support a fixed number of virtual machines. (iii) MPI and network communication overheads affect the deployment efficiency seriously.
Virtual Machine Based Energy-Efficient Data Center Architecture for Cloud Computing: A Performance Perspective
by Kejiang Ye
Kejiang Ye; Dawei Huang; Xiaohong Jiang; Huajun Chen; Shuang Wu;
2010 IEEE/ACM International Conference on Green Computing and Communications (GreenCom'2010)
Virtual machine technology is widely applied to modern data center for cloud computing as a key technology to realize... more Virtual machine technology is widely applied to modern data center for cloud computing as a key technology to realize energy-efficient operation of servers. Server consolidation achieves energy efficiency by enabling multiple instantiations of operating systems (OSes) to run simultaneously on a single physical machine. While, live migration of virtual machine can transfer the virtual machine workload from one physical machine to another without interrupting service. However, both the two technologies have their own performance overheads. There is a tradeoff between the performance and energy efficiency. In this paper, we study the energy efficiency from the performance perspective. Firstly, we present a virtual machine based energy-efficient data center architecture for cloud computing. Then we investigate the potential performance overheads caused by server consolidation and live migration of virtual machine technology. Experimental results show that both the two technologies can effectively implement energy-saving goals with little performance overheads. Efficient consolidation and migration strategies can improve the energy efficiency.