Sensitivity of Website Reliability to Usage Profile Changes
(2007) 18th IEEE International Symposium on Software Reliability Engineering p.3-8- Abstract
- To measure the reliability of a website from a user’s point of view, the uncertainty on the usage of the website has to be taken into account. In this paper we investigate the influence of this uncertainty on the reliability estimate for a web server. For this purpose a session based Markov model is used to model the usage extracted from the server’s logfiles. From these logfiles a complete user profile can be extracted together with an estimate of the uncertainty on this user profile. This paper investigates the applicability of this kind of Markov model on web server reliability and discusses the difficulties with data extraction from the logfiles. Advantages and disadvantages of this approach are discussed and the approach is applied to... (More)
- To measure the reliability of a website from a user’s point of view, the uncertainty on the usage of the website has to be taken into account. In this paper we investigate the influence of this uncertainty on the reliability estimate for a web server. For this purpose a session based Markov model is used to model the usage extracted from the server’s logfiles. From these logfiles a complete user profile can be extracted together with an estimate of the uncertainty on this user profile. This paper investigates the applicability of this kind of Markov model on web server reliability and discusses the difficulties with data extraction from the logfiles. Advantages and disadvantages of this approach are discussed and the approach is applied to data from a university department’s web server to demonstrate its applicability. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/748508
- author
- Weyns, Kim LU and Höst, Martin LU
- organization
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- The 18th IEEE International Symposium on Software Reliability (ISSRE '07),
- pages
- 3 - 8
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 18th IEEE International Symposium on Software Reliability Engineering
- conference location
- Trollhättan, Sweden
- conference dates
- 2007-11-05 - 2007-11-09
- external identifiers
-
- wos:000252180900001
- scopus:47349092026
- ISSN
- 1071-9458
- ISBN
- 978-0-7695-3024-6
- DOI
- 10.1109/ISSRE.2007.26
- language
- English
- LU publication?
- yes
- id
- 39414521-882c-4802-aaea-53e44c55c991 (old id 748508)
- date added to LUP
- 2016-04-01 16:10:15
- date last changed
- 2024-01-11 02:54:46
@inproceedings{39414521-882c-4802-aaea-53e44c55c991, abstract = {{To measure the reliability of a website from a user’s point of view, the uncertainty on the usage of the website has to be taken into account. In this paper we investigate the influence of this uncertainty on the reliability estimate for a web server. For this purpose a session based Markov model is used to model the usage extracted from the server’s logfiles. From these logfiles a complete user profile can be extracted together with an estimate of the uncertainty on this user profile. This paper investigates the applicability of this kind of Markov model on web server reliability and discusses the difficulties with data extraction from the logfiles. Advantages and disadvantages of this approach are discussed and the approach is applied to data from a university department’s web server to demonstrate its applicability.}}, author = {{Weyns, Kim and Höst, Martin}}, booktitle = {{The 18th IEEE International Symposium on Software Reliability (ISSRE '07),}}, isbn = {{978-0-7695-3024-6}}, issn = {{1071-9458}}, language = {{eng}}, pages = {{3--8}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Sensitivity of Website Reliability to Usage Profile Changes}}, url = {{http://dx.doi.org/10.1109/ISSRE.2007.26}}, doi = {{10.1109/ISSRE.2007.26}}, year = {{2007}}, }