Experiment and analysis for QoS of E-Commerce systems

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Auteur principal: Jeong-Su Kim
Format: Artículo científico
Langue:en
Publié: Universidad de Talca 2006
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author Jeong-Su Kim
author_facet Jeong-Su Kim
contents Experiment and analysis for QoS of E-Commerce systems Jeong-Su Kim Sang-Koo Seo Multidisciplinaria (Ciencias Naturales y Exactas) self similarity traffic electronic commerce systems QoS measurement and prediction It is important for electronic commerce companies to understand the service quality of their systems, such as, the response time for users’ interactions, the service delay zone and the number of appropriate users accessing the systems concurrently. The accurate and prompt management of the service quality can greatly help build and operate systems more efficiently. In this paper we present a methodology for the service quality measurement and the user capacity modeling for electronic commerce systems. While most previous researches on this issue have been based on the closed-LAN environment, we conduct experiments under real network environment using sample e-Commerce systems. Specifically, we measure the response times for e-Commerce transactions under Cable, DSL, and wireless networks, and analyze the delay zones in processing the users’ service requests. The discrete event simulation and hybrid simulation are performed to estimate the maximum number of users using a response time limit as the service quality criterion. We also investigate the self-similar characteristics on the response time and the number of users, and the extensive results of the experiment and the simulations are described 2006 artículo científico 0718-1876 https://www.redalyc.org/articulo.oa?id=96510302 en http://www.redalyc.org/revista.oa?id=965 Journal of Theoretical and Applied Electronic Commerce Research application/pdf Universidad de Talca Journal of Theoretical and Applied Electronic Commerce Research (Chile) Num.3 Vol.1
format Artículo científico
id redalyc_96510302
institution Redalyc
language en
publishDate 2006
publisher Universidad de Talca
spellingShingle Experiment and analysis for QoS of E-Commerce systems
Jeong-Su Kim
Multidisciplinaria (Ciencias Naturales y Exactas)
self similarity traffic
electronic commerce systems
QoS measurement and prediction
Experiment and analysis for QoS of E-Commerce systems Jeong-Su Kim Sang-Koo Seo Multidisciplinaria (Ciencias Naturales y Exactas) self similarity traffic electronic commerce systems QoS measurement and prediction It is important for electronic commerce companies to understand the service quality of their systems, such as, the response time for users’ interactions, the service delay zone and the number of appropriate users accessing the systems concurrently. The accurate and prompt management of the service quality can greatly help build and operate systems more efficiently. In this paper we present a methodology for the service quality measurement and the user capacity modeling for electronic commerce systems. While most previous researches on this issue have been based on the closed-LAN environment, we conduct experiments under real network environment using sample e-Commerce systems. Specifically, we measure the response times for e-Commerce transactions under Cable, DSL, and wireless networks, and analyze the delay zones in processing the users’ service requests. The discrete event simulation and hybrid simulation are performed to estimate the maximum number of users using a response time limit as the service quality criterion. We also investigate the self-similar characteristics on the response time and the number of users, and the extensive results of the experiment and the simulations are described 2006 artículo científico 0718-1876 https://www.redalyc.org/articulo.oa?id=96510302 en http://www.redalyc.org/revista.oa?id=965 Journal of Theoretical and Applied Electronic Commerce Research application/pdf Universidad de Talca Journal of Theoretical and Applied Electronic Commerce Research (Chile) Num.3 Vol.1
title Experiment and analysis for QoS of E-Commerce systems
topic Multidisciplinaria (Ciencias Naturales y Exactas)
self similarity traffic
electronic commerce systems
QoS measurement and prediction
url https://www.redalyc.org/articulo.oa?id=96510302