Title :
An investigation into the application of different performance prediction techniques to e-Commerce applications
Author :
Bacigalupo, David A. ; Jarvis, Stephen A. ; He, Ligang ; Nudd, Graham R.
Author_Institution :
Dept. of Comput. Sci., Warwick Univ., Coventry, UK
Abstract :
Summary form only given. Predictive performance models of e-Commerce applications allows grid workload managers to provide e-Commerce clients with qualities of service (QoS) whilst making efficient use of resources. We demonstrate the use of two ´coarse-grained´ modelling approaches (based on layered queuing modelling and historical performance data analysis) for predicting the performance of dynamic e-Commerce systems on heterogeneous servers. Results for a popular e-Commerce benchmark show how request response times and server throughputs can be predicted on servers with heterogeneous CPUs at different background loads. The two approaches are compared and their usefulness to grid workload management is considered.
Keywords :
benchmark testing; electronic commerce; grid computing; performance evaluation; quality of service; queueing theory; resource allocation; coarse-grained modelling approaches; e-Commerce applications; e-Commerce benchmark; e-Commerce clients; grid workload management; heterogeneous servers; historical performance data analysis; layered queuing modelling; performance prediction models; quality of service; resource allocation; Application software; Data analysis; Delay; Java; Performance analysis; Predictive models; Quality management; Quality of service; Queueing analysis; Resource management;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2004. Proceedings. 18th International
Print_ISBN :
0-7695-2132-0
DOI :
10.1109/IPDPS.2004.1303306
