Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Performance analysis for enterprise distributed information system

Performance analysis for enterprise distributed information system This paper presents a case study aiming to identify the critical areas which influence the system response performance before it is widely deployed to nationwide for the National Immunisation Information System which is a web-based distributed system newly developed by Taiwan's Center for Disease Control. The performance measurement is conducted through field experiments and simulation to measure the system response time from remote client workstations accessing to system's centralised application and database servers. The results of the analysis show that the system response time is significantly determined by the number of concurrent users, the placement of system servers, the network bandwidth and the traffic load of the network. The findings from this study may offer the precautions for the ill-performance areas of NIIS which have to be overcome before it is formally deployed to the client sites nationwide for daily operation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business and Systems Research Inderscience Publishers

Loading next page...
 
/lp/inderscience-publishers/performance-analysis-for-enterprise-distributed-information-system-60jVjycHDj

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1751-200X
eISSN
1751-2018
Publisher site
See Article on Publisher Site

Abstract

This paper presents a case study aiming to identify the critical areas which influence the system response performance before it is widely deployed to nationwide for the National Immunisation Information System which is a web-based distributed system newly developed by Taiwan's Center for Disease Control. The performance measurement is conducted through field experiments and simulation to measure the system response time from remote client workstations accessing to system's centralised application and database servers. The results of the analysis show that the system response time is significantly determined by the number of concurrent users, the placement of system servers, the network bandwidth and the traffic load of the network. The findings from this study may offer the precautions for the ill-performance areas of NIIS which have to be overcome before it is formally deployed to the client sites nationwide for daily operation.

Journal

International Journal of Business and Systems ResearchInderscience Publishers

Published: Jan 1, 2007

There are no references for this article.