Enterprise web site problem diagnosis using Bayesian Belief Networks

被引：0

作者：

Moole, BR ^{[1
]}

Korrapati, RB ^{[1
]}

机构：

[1] Walden Univ, Sch Management, Minneapolis, MN 55401 USA

来源：

Proceedings of the IEEE SoutheastCon 2004: EXCELLENCE IN ENGINEERING, SCIENCE, AND TECHNOLOGY | 2005年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Enterprise web sites are characterized by large volumes of traffic, multi-tier architectures, multiple COTS software products, and distributed system design. Diagnosing problems in such environments requires expertise gained through extensive experience. Experienced subject matter experts are expensive. This paper describes a decision support system based on Bayesian Belief Networks to diagnose the problems of a typical enterprise web site that utilizes HTTP Servers, J2EE compliant application servers, database servers, firewalls, messaging servers, and single sign-on.

引用

页码：384 / 396

页数：13

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