Browse > Article

A Methodology for Performance Modeling and Prediction of Large-Scale Cluster Servers  

Jang, Hye-Churn (건국대학교 컴퓨터공학부)
Jin, Hyun-Wook (건국대학교 컴퓨터공학부)
Kim, Hag-Young (한국전자통신연구원 컴퓨터시스템연구부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.11, 2010 , pp. 1041-1045 More about this Journal
Abstract
Clusters can provide scalable and flexible architectures for parallel computing servers and data centers. Their performance prediction has been a very challenging issue. Existing performance measurement methodologies are able to measure the performance of servers already constructed. Thus they cannot provide a way to predict the overall system performance in advance when designing the system at the initial phase or adding more nodes for more capacity. Therefore, the performance modeling and prediction methodology for large-scale clusters is highly required. In this paper, we suggest a methodology to predict the performance of large-scale clusters, which consists of measurement, modeling and prediction steps. We apply the methodology to a real cluster server and show its usefulness.
Keywords
Cluster; Performance modeling; Performance prediction; Performance measurement;
Citations & Related Records
연도 인용수 순위
  • Reference
1 H.-W. Jin, Y.-J. Yun, and H.-C. Jang, "TCP/IP Performance Near I/O Bus Bandwidth on MultiCore Systems: 10-Gigabit Ethernet vs. Multi-Port Gigabit Ethernet," Proceedings of International Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2), pp.87-94, September 2008.
2 T. E. Anderson, D. E. Culler, D. A. Patterson, and the NOW Team, "A Case for Network soft Workstation: NOW," IEEE Micro, February 1995.
3 H. Shah, D. Minturn, A. Foong, G. McAlpine, R. Madukkarumukumana, and G. Regnier, "CSP: A Novel System Architecture for Scalable Internet and Communication Services," Proceedings of USENIX Symposium on Internet Technologies and Systems, 2001.
4 Top500 Supercomputer Sites, http://www.top500.org/.
5 NASA Advanced Supercomputing Division, Columbia Supercomputer, http://www.nas.nasa.gov/.
6 Innovative Computing Laboratory (lCL), "HPC Challenge Benchmark," http://icl.cs.utk.edu/hpcc.
7 Transaction Processing Performance Council, TPC Benchmarks, http://www.tpc.org/.
8 Cristiana Arnza, Emmanuel Cecchet, Anupam Chanda, Alan Cox, Sameh Elnikety, Romer Gil, Julie Marguerite, Karthick Rajamani and Willy Zwaenepoel, "Specification and Implementation of Dynamic Web Site Benchmarks," WWC-5, November 2002.
9 The Benchmark for Web Servers, Mind Craft. http://www.mindcraft.com/webstone/