a two-level virtual machine self-reconfiguration mechanism for the cloud computing platforms

ISCAS OpenIR

	a two-level virtual machine self-reconfiguration mechanism for the cloud computing platforms
	Chen Wei; Qiao Xiaoqiang; Wei Jun; Huang Tao
	2012
会议名称	IEEE 9th International Conference on Ubiquitous Intelligence and Computing (UIC) / IEEE 9th International Conference on Autonomic and Trusted Computing (ATC)
会议录名称	Proceedings - IEEE 9th International Conference on Ubiquitous Intelligence and Computing and IEEE 9th International Conference on Autonomic and Trusted Computing, UIC-ATC 2012
页码	563-570
会议日期	SEP 04-07, 2012
会议地点	Fukuoka, JAPAN
收录类别	ISTP ; EI
ISBN	978-0-7695-4843-2
部门归属	Chen Wei; Qiao Xiaoqiang; Wei Jun; Huang Tao Chinese Acad Sci Inst Software Beijing Peoples R China.
摘要	Cloud computing is a new model and technology that leverage the efficient pooling of on-demand, self-managed virtual infrastructure. Virtualization packages the applications in the form of Virtual Machine (VM) and provides significant benefits by reconfiguring the VMs dynamically. VM reconfiguration is hard and complicated, and existing work addressed the problem with diverse objectives by answering the questions of when to reconfigure, which VMs should be reconfigured and where to host the VMs. However, we found that the runtime reconfiguration affects the total costs significantly. Then we propose a two-level runtime reconfiguration mechanism to automate the operations with the objective of minimizing the costs. The mechanism includes the local adjustment and the parallel migration. Employing the local adjustment, VMs on a same server can be reconfigured in a time-division multiplexed way based on the load trend prediction, which can avoid the unnecessary VM migrations. Nevertheless, VM migration is inevitable when the server is overloaded. Considering the conflict between reducing the migration cost and minimizing the performance interference, we propose a VM parallel migration strategy and map it to the max matching problem of the bipartite graph. We implement a framework based on Xen and evaluate the mechanism with a preliminary experiment. The results show that this two-level self-reconfiguration mechanism is effective in reducing the VM runtime reconfiguration costs.; Cloud computing is a new model and technology that leverage the efficient pooling of on-demand, self-managed virtual infrastructure. Virtualization packages the applications in the form of Virtual Machine (VM) and provides significant benefits by reconfiguring the VMs dynamically. VM reconfiguration is hard and complicated, and existing work addressed the problem with diverse objectives by answering the questions of when to reconfigure, which VMs should be reconfigured and where to host the VMs. However, we found that the runtime reconfiguration affects the total costs significantly. Then we propose a two-level runtime reconfiguration mechanism to automate the operations with the objective of minimizing the costs. The mechanism includes the local adjustment and the parallel migration. Employing the local adjustment, VMs on a same server can be reconfigured in a time-division multiplexed way based on the load trend prediction, which can avoid the unnecessary VM migrations. Nevertheless, VM migration is inevitable when the server is overloaded. Considering the conflict between reducing the migration cost and minimizing the performance interference, we propose a VM parallel migration strategy and map it to the max matching problem of the bipartite graph. We implement a framework based on Xen and evaluate the mechanism with a preliminary experiment. The results show that this two-level self-reconfiguration mechanism is effective in reducing the VM runtime reconfiguration costs.
关键词	Cloud Computing Virtual Machine Self-reconfiguration Migration
主办者	Kyushu Sangyo Univ (KSU), IEEE, IEEE Comp Soc, IEEE Tech Comm Scalable Comp (TCSC), Informat Proc Soc Japan (IPSJ), Inst Elect, Informat & Commun Engineers (IEICE), FCVB, IPSJ Special Interest Grp Distributed Proc Syst (IPSJ SIG-DPS), IEICE Special Interest Grp Dependable Comp (IEICE SIG-DC), IPSJ Special Interest Grp Comp Secur (IPSJ SIG-CSEC), IPSJ Special Interest Grp Mobile Comp & Ubiquitous Commun (IPSJ SIG-MBL)
学科领域	Computer Science ; Engineering
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15805
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Chen Wei,Qiao Xiaoqiang,Wei Jun,et al. a two-level virtual machine self-reconfiguration mechanism for the cloud computing platforms[C],2012:563-570.