Enterprise web site problem diagnosis using Bayesian belief networks

Author

Moole, Bhaskara Reddy ; Korrapati, Raghu Babu

fYear

2005

fDate

8-10 April 2005

Firstpage

384

Lastpage

396

Abstract

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.

Keywords

Bayes methods; Web sites; authorisation; belief networks; business communication; decision support systems; distributed databases; fault diagnosis; network servers; transport protocols; Bayesian belief networks; HTTP servers; J2EE compliant application servers; database servers; decision support system; distributed system design; enterprise environments; enterprise web site problem diagnosis; enterprise web sites; firewalls; messaging servers; multi-tier architectures; multiple COTS software products; problem diagnosis; single sign-on; traffic volume; Access protocols; Availability; Bayesian methods; Books; Companies; Decision support systems; Network servers; Spatial databases; Web server; Web sites;

fLanguage

English

Publisher

ieee

Conference_Titel

SoutheastCon, 2005. Proceedings. IEEE

Print_ISBN

0-7803-8865-8

Type

conf

DOI

10.1109/SECON.2005.1423277

Filename

1423277