Energy-aware hierarchical scheduling of applications in large scale data centers
文献类型:会议论文
作者 | Wen gaojin; Hong jue; Xu chengzhong; Balaji pavan; Feng shengzhong; Jiang pingchuang |
出版日期 | 2011 |
会议名称 | 2011 International Conference on Cloud and Service Computing |
会议地点 | Hong Kong |
英文摘要 | With the rapid advance of cloud computing, large scale data center plays a key role in cloud computing. Energy consumption of such distributed systems has become a prominent problem and received much attention. Among existing energy-saving methods, application scheduling can reduce energy consumption by replacing and consolidating applications to decrease the number of running servers. However, most application scheduling approaches did not consider the energy cost on network devices, which is also a big portion of power consumption in large data centers. In this paper we propose a Hierarchical Scheduling Algorithm forapplications, namely HSA, to minimize the energy consumption of both servers and network devices. In HSA, a Dynamic Maximum Node Sorting (DMNS) method is developed to optimize the application placement on servers connected to a common switch. Hierarchical crossing-switch adjustment is applied to further reduce the number of running servers. As a result, both the number of running servers and the amount of data transfer can be greatly reduced. The time complexity of HSA is Θ(n * log(logn)), where n is the total number of the severs in the data center. Its stability is verified via simulations. Experiments show that the performance of HSA outperforms existing algorithms. © 2011 IEEE.(17 refs) |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/3639] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | 2011 |
推荐引用方式 GB/T 7714 | Wen gaojin,Hong jue,Xu chengzhong,et al. Energy-aware hierarchical scheduling of applications in large scale data centers[C]. 见:2011 International Conference on Cloud and Service Computing. Hong Kong. |
入库方式: OAI收割
来源:深圳先进技术研究院
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