On the best learning algorithm for web services response time prediction

Henrik Madsen, Razvan-Daniel Albu, Florin Popentiu-Vladicescu

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


In this article we will examine the effect of different learning algorithms, while training the MLP (Multilayer Perceptron) with the intention of predicting web services response time. Web services do not necessitate a user interface. This may seem contradictory to most people's concept of what an application is. A Web service is better imagined as an application "segment," or better as a program enabler. Performance is an important quality aspect of Web services because of their distributed nature. Predicting the response of web services during their operation is very important.
Original languageEnglish
Title of host publicationSafety, Reliability and Risk Analysis: Beyond the Horizon
EditorsR. D. J. M. Steenbergen, P. H. A. J. M. van Gelder, S. Miraglia, A. C. W. M. Vrouwenvelder
PublisherCRC Press, Taylor & Francis Group
Publication date2013
ISBN (Print)978-1-138-00123-7
ISBN (Electronic)978-1-315-81559-6
Publication statusPublished - 2013
Event22nd European Safety and Reliability Conference (ESREL) 2013 - Beurs van Berlage, Amsterdam, Netherlands
Duration: 29 Sep 20132 Oct 2013
Conference number: 22


Conference22nd European Safety and Reliability Conference (ESREL) 2013
LocationBeurs van Berlage
Internet address

Bibliographical note

Chapter 383


Dive into the research topics of 'On the best learning algorithm for web services response time prediction'. Together they form a unique fingerprint.

Cite this