Efficient Power Management of Heterogeneous Soft Real-Time Clusters
Efficient Power Management of Heterogeneous Soft Real-Time Clusters
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DOI：
10.1109/rtss.2008.31
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发表时间：
2008-11
期刊：
影响因子：
--
通讯作者：
Leping Wang;Ying Lu
中科院分区：
文献类型：
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作者：
Leping Wang;Ying Lu
随着电力成本的不断增长，服务器集群的电源管理成为一个重要的问题。然而，大多数以前的研究人员只解决同质环境中的挑战。针对异构系统的日益普及，提出了一种高效的异构软实时集群电源管理算法。它建立在简单但有效的数学模型上。当部署到新平台时，该软件的配置成本很低，因为不需要大量的性能测量和分析。为了提高效率，采用了基于阈值的方法。在本文中，我们系统地研究这种方法及其设计决策。
With growing cost of electricity, the power management of server clusters has become an important problem. However, most previous researchers only address the challenge in homogeneous environments. Considering the increasing popularity of heterogeneous systems, this paper proposes an efficient algorithm for power management of heterogeneous soft real-time clusters. It is built on simple but effective mathematical models. When deployed to a new platform, the software incurs low configuration cost because no extensive performance measurements and profiling are required. To strive for efficiency, a threshold-based approach is adopted. In this paper, we systematically study this approach and its design decisions.