Distributed Utilization Control for Real-Time Clusters with Load Balancing

  • Authors:
  • Yong Fu;Hongan Wang;Chenyang Lu;Ramu Sharat Chandra

  • Affiliations:
  • Chinese Academy of Sciences, China;Chinese Academy of Sciences, China;Washington University in St. Louis, USA;GE Global Research Center

  • Venue:
  • RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
  • Year:
  • 2006

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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.