CLC number: TP391
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 6
Clicked: 6663
TANG Jing-fan, ZHOU Bo, HE Zhi-jun. Policy driven and multi-agent based fault tolerance for Web services[J]. Journal of Zhejiang University Science A, 2005, 6(7): 676-682.
@article{title="Policy driven and multi-agent based fault tolerance for Web services",
author="TANG Jing-fan, ZHOU Bo, HE Zhi-jun",
journal="Journal of Zhejiang University Science A",
volume="6",
number="7",
pages="676-682",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.A0676"
}
%0 Journal Article
%T Policy driven and multi-agent based fault tolerance for Web services
%A TANG Jing-fan
%A ZHOU Bo
%A HE Zhi-jun
%J Journal of Zhejiang University SCIENCE A
%V 6
%N 7
%P 676-682
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%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.A0676
TY - JOUR
T1 - Policy driven and multi-agent based fault tolerance for Web services
A1 - TANG Jing-fan
A1 - ZHOU Bo
A1 - HE Zhi-jun
J0 - Journal of Zhejiang University Science A
VL - 6
IS - 7
SP - 676
EP - 682
%@ 1673-565X
Y1 - 2005
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2005.A0676
Abstract: This paper proposes a policy driven and multi-agent based model to enhance the fault tolerance and recovery capabilities of web services in distributed environment. The evaluation function of fault specifications and the corresponding handling mechanisms of the services are both defined in policies, which are expressed in XML. During the implementation of the services, the occurrences of faults are monitored by the service monitor agent through the local knowledge on the faults. Such local knowledge is dynamically generated by the service policy agent through querying and parsing the service policies from the service policies repository. When the fault occurs, the service process agent will focus on the process of fault handling and service recovery, which will be directed with the actions defined in the policies upon the specific conditions. Such a policy driven and multi-agent based fault handling approach can address the issues of flexibility, automation and availability.
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