Closed queueing network model for multi-tier data stream processing center

  • Authors:
  • YuFeng Wang;HuaiMin Wang;Yan Jia;Bixin Liu

  • Affiliations:
  • National University of Defense Technology, ChangSha, China;National University of Defense Technology, ChangSha, China;National University of Defense Technology, ChangSha, China;National University of Defense Technology, ChangSha, China

  • Venue:
  • APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
  • Year:
  • 2006

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Abstract

Data stream applications grow rapidly in recent years. This paper focuses on analytically modeling the performance of middleware-based data stream processing center, which is usually structured in a multi-tier architecture and deployed on HPC clusters. We present a closed queueing network to model data stream center. The Mean-Value Analysis (MVA) algorithm is employed to derive the throughput of the system and help identify the system performance bottleneck. The model is validated through experiments on a concrete network monitoring data processing system hosted on a SMP cluster. Experimental results show that the proposed model well captures the system performance.