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27th IEEE International Real-Time Systems Symposium (RTSS'06)   pp. 137-146
Distributed Utilization Control for Real-Time Clusters with Load Balancing
Yong Fu, Chinese Academy of Sciences, China
Hongan Wang, Chinese Academy of Sciences, China
Chenyang Lu, Washington University in St. Louis, USA
Ramu Sharat Chandra, GE Global Research Center

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/RTSS.2006.20
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Abstract
Recent years have seen rapid growth of online services that rely on large-scale server clusters to handle high volume of requests. Such clusters must adaptively control the CPU utilizations of many processors in order to maintain desired soft real-time performance and prevent system overload in face of unpredictable workloads. This paper presents DUC-LB, a novel distributed utilization control algorithm for cluster-based soft real-time applications. Compared to earlier works on utilization control, a distinguishing feature of DUC-LB is its capability to handle system dynamics caused by load balancing, which is a common and essential component of most clusters today. Simulation results and control-theoretic analysis demonstrate that DUCLB can provide robust utilization control and effective load balancing in large-scale clusters.
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Citation:  Yong Fu, Hongan Wang, Chenyang Lu, Ramu Sharat Chandra, "Distributed Utilization Control for Real-Time Clusters with Load Balancing," rtss, pp. 137-146,  27th IEEE International Real-Time Systems Symposium (RTSS'06),  2006