Application-aware Workload Consolidation to Minimize both Energy Consumption and Network Load in Cloud Environments
文献类型:会议论文
作者 | Tziritas, Nikos; Xu, Cheng-Zhong; Loukopoulos, Thanasis; Khan, Samee Ullah; Yu, Zhibin |
出版日期 | 2013 |
会议名称 | 42nd Annual International Conference on Parallel Processing, ICPP 2013 |
会议地点 | Ecole Normale Superieure Lyon, Lyon, FRANCE |
英文摘要 | In this paper we tackle the problem of virtual machine (VM) placement onto physical servers to jointly optimize two objective functions. The first objective is tominimize the total energy spent within a cloud due to the servers that are commissioned to satisfy the computational demands of VMs. The second objective is to minimize the total network overhead incurred due to: (a) communicational dependencies between VMs, and (b) the VM migrations performed for the transition from an old assignment scheme to a new one. We study different methodologies for solving the aforementioned problem. The first approach is based on VM packing algorithms that optimize the above objective functions separately, reaching a single solution. The other approach is to tackle simultaneously the two optimization targets and define a set of non-dominating solutions. Performance evaluation using simulation experiments reveals interesting trade-offs between energy consumption and network load. |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/5125] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | 2013 |
推荐引用方式 GB/T 7714 | Tziritas, Nikos,Xu, Cheng-Zhong,Loukopoulos, Thanasis,et al. Application-aware Workload Consolidation to Minimize both Energy Consumption and Network Load in Cloud Environments[C]. 见:42nd Annual International Conference on Parallel Processing, ICPP 2013. Ecole Normale Superieure Lyon, Lyon, FRANCE. |
入库方式: OAI收割
来源:深圳先进技术研究院
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