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A QoS-aware performance prediction for self-healing web service composition

Authors
Nasridinov A.Byun J.-Y.Park Y.-H.
Issue Date
Nov-2012
Publisher
IEEE
Keywords
Decision Tree; performance prediction; self-healing; Web Service composition
Citation
Proceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012, v.2013-FEB, pp 799 - 803
Pages
5
Journal Title
Proceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012
Volume
2013-FEB
Start Page
799
End Page
803
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/12400
DOI
10.1109/CGC.2012.123
ISSN
0000-0000
Abstract
As composition consists of different Web Services invocations, when one component service fails, composite Web Service will not operate appropriately. The easy solution to this problem is to reselect the service every time service fails. However, it is not feasible due to the high complexity of the reselection, which will interrupt the execution of composite service, lead to an extra delay and influence the performance of the composite service. In this paper we propose an approach on Quality of Service (QoS) aware performance prediction for self-healing Web Service Composition. In our approach, we first propose a self-healing cycle which has three phases such as monitoring, diagnostics and repair. Next, in order to minimize a number of reselections we propose Decision Tree based performance prediction approach. With our approach, the component services which have previously violated QoS parameter values can be predicted. We will demonstrate that proposed solution has better performance in supporting the self-healing Web Service composition comparing to traditional way. © 2012 IEEE.
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