Browse > Article
http://dx.doi.org/10.9709/JKSS.2010.19.3.091

Analysis on the Performance Elements of Web Server Cluster Systems  

Park, Jin-Won (홍익대학교 게임학부 게임소프트웨어)
Abstract
This paper is on the research result for analyzing the performance of GLORY(GLobal Resource management sYstem) used for Web Server Cluster system, which was developed at ETRI(Electronic and Telecommunication Research Institute). The paper includes the definition of Web Server Cluster System, the characteristics of the system, user oriented system performance, current performance enhancement methods, computer simulation model for GLORY and its experimental results for the performance of GLORY. GLORY is composed of 2048~1,000,000 units of PCs, and is used for Internet servers. From the results of the simulation experiments, we notice that GLORY has enough capacity to fully serve the appropriate level of Internet services. Also, the results show that Web server service time is longer than that for network transmission time but requires more DNS than expected, and that 100Mbps LAN is good enough for directly connecting Internet to the Web servers while not affecting the total system performance.
Keywords
Web Server Cluster System; Internet Server; Performance Evaluation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 L. Cherkasova and M. Karlsson, "Scalable web server cluster design with workload‐aware request distribution strategy WARD," HP Workshop, 2001.
2 V. Cardellini, et. al., "Dynamic load balancing on web server systems," IEEE Internet Computing, May.June 1999.
3 V. Cardellini, et. al., "Enhancing a web server cluster with quality of service mechanism," Proc. of the IEEE Int'l Performance, Computing, and Communications Conference, Phoenix, U.S.A., 2002.
4 S.E. Arnold, Google Version 2.0, Infonortics Ltd., 2007.
5 김명준, 김준, 이미영, 김학영, 김성운, 김영균, 남궁한, "GLORY: 대규모 저가 노드 기반 글로벌 인터넷 서비스 솔루션," 한국정보처리학회 논문지, 14(3), pp. 387-394, 2007년 6월.
6 조선일보, "인터넷 제국 NHN의 빛과 그림자", 2007년 11월 16일자, 2007년 11월 27일자.
7 W.D. Smith, TPC W: Benchmarking an e-commerce solution, www.tpc.org/tpcw.
8 H. Zhu, et. al., "Demand‐driven service differentiation in cluster‐based network servers," Proc. of IEEE INFOCOM, Anchorage, U.S.A., 2001.
9 M. Banikazemi, V. Moorthy and D.K. Panda, "Efficient collective communication on heterogeneous networks of workstation," National Science Foundation, U.S.A., June 2000.
10 D. Olshefski and J. Nieh, "Understanding the management of client perceived response time," SIGMetrics/ Performance '06, Saint Malo, France, 2006.
11 강병준, 류현정, 구글 vs 네이버, 전자신문사, 2008.
12 D. Caromel, et. al., "Asynchronous peer‐to‐peer web services and firewalls," IWJPDC, Denver, U.S.A., 2005.
13 Y.H. Chung, D.S. Moon, T.H. Kim and J.W. Park, "Workload dispatch planning for real time fingerprint authentication on a sensor‐client‐server model," PDCAT 2004, LNCS 3320, pp. 833-838, 2004.