Aschoff, Rafael and Zisman, Andrea
(2011).
|
PDF (Accepted Manuscript)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (566kB) | Preview |
| URL: | http://icsoc11.icsoc.org/ |
|---|---|
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1007/978-3-642-25535-9_28 |
| Google Scholar: | Look up in Google Scholar |
Abstract
Proactive adaptation of service composition has been recognized as a major research challenge for service-based systems. In this paper we describe an approach for proactive adaptation of service composition due to changes in service operation response time; or unavailability of operations, services, and providers. The approach is based on exponentially weighted moving average (EWMA) for modelling service operation response time. The prediction of problems and the need for adaptation consider a group of services in a composition flow, instead of isolated services. The decision of the service operations to be used to replace existing operations in a composition takes into account response time and cost values. A prototype tool has been implemented to illustrate and evaluate the approach. The paper also describes the results of a set of experiments that we have conducted to evaluate the work.
| Item Type: | Conference or Workshop Item |
|---|---|
| Copyright Holders: | 2011 Springer-Verlag Berlin Heidelberg |
| Extra Information: | Published in:
Service-Oriented Computing, Lecture Notes in Computer Science, Volume 7084, pp. 421-435 |
| Keywords: | proactive adaptation; response time; cost; spatial correlation |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ID: | 37562 |
| Depositing User: | Andrea Zisman |
| Date Deposited: | 09 May 2013 09:28 |
| Last Modified: | 19 Feb 2019 09:10 |
| URI: | http://oro.open.ac.uk/id/eprint/37562 |
| Share this page: |     |
Metrics
Altmetrics from Altmetric | Citations from Dimensions |
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)