Performance stress vectors and capacity planning for e-commerce applications

被引：5

作者：

Litoiu M. ^{[1
]}

Krishnamurthy D. ^{[2
]}

Rolia J. ^{[3
]}

机构：

[1] IBM Toronto Lab, Markham

[2] Department of Systems and Computer Engineering, Carleton University, Ottawa

[3] Hewlett-Packard Labs, Palo Alto

来源：

International Journal on Digital Libraries | 2002年 / 3卷 / 4期

关键词：

Capacity planning; E-business; E-commerce; Performance; Testing;

D O I：

10.1007/s007990100045

中图分类号：

学科分类号：

摘要：

Computing systems are essential resources for both the business and public sectors. With the increasing interdependence of integrated electronic commerce and business applications within the global computing environment, performance and reliability are of great concern. Poor performance can mean lost cooperation, opportunity, and revenue. This paper describes performance challenges that these applications face over the short and long term. We present an analytic technique that can predict the performance of an e-commerce application over a given deployment period. This technique can be used to deduce performance stress testing vectors over this period and for design and capacity planning exercises. A Web-based shopping server case study is used as an example. © Springer-Verlag 2001.

引用

页码：309 / 315

页数：6

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