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| a two-level virtual machine self-reconfiguration mechanism for the cloud computing platforms | |
| Chen Wei; Qiao Xiaoqiang; Wei Jun; Huang Tao | |
| 2012 | |
| Conference Name | IEEE 9th International Conference on Ubiquitous Intelligence and Computing (UIC) / IEEE 9th International Conference on Autonomic and Trusted Computing (ATC) |
| Source | Proceedings - IEEE 9th International Conference on Ubiquitous Intelligence and Computing and IEEE 9th International Conference on Autonomic and Trusted Computing, UIC-ATC 2012 |
| Pages | 563-570 |
| Conference Date | SEP 04-07, 2012 |
| Conference Place | Fukuoka, JAPAN |
| Indexed Type | ISTP ; EI |
| ISBN | 978-0-7695-4843-2 |
| Department | Chen Wei; Qiao Xiaoqiang; Wei Jun; Huang Tao Chinese Acad Sci Inst Software Beijing Peoples R China. |
| English Abstract | 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. |
| Keyword | Cloud Computing Virtual Machine Self-reconfiguration Migration |
| Sponsorship | 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) |
| Subject | Computer Science ; Engineering |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15805 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
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