a two-level virtual machine self-reconfiguration mechanism for the cloud computing platforms
文献类型：会议论文
| 作者 | Chen Wei ; Qiao Xiaoqiang ; Wei Jun ; Huang Tao |
| 出版日期 | 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) |
| 会议日期 | SEP 04-07, 2012 |
| 会议地点 | Fukuoka, JAPAN |
| 关键词 | cloud computing virtual machine self-reconfiguration migration |
| 页码 | 563-570 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | ISTP ; EI |
| 会议主办者 | 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) |
| 会议录 | Proceedings - IEEE 9th International Conference on Ubiquitous Intelligence and Computing and IEEE 9th International Conference on Autonomic and Trusted Computing, UIC-ATC 2012
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| 学科主题 | Computer Science ; Engineering |
| 语种 | 英语 |
| ISBN号 | 978-0-7695-4843-2 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15805]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 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]. 见:IEEE 9th International Conference on Ubiquitous Intelligence and Computing (UIC) / IEEE 9th International Conference on Autonomic and Trusted Computing (ATC). Fukuoka, JAPAN. SEP 04-07, 2012. |
入库方式： OAI收割
来源：软件研究所
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