DocumentCode
1968818
Title
A Petri Net-Based Byzantine Fault Diagnosis Method for Service Composition
Author
Fan, Guisheng ; Yu, Huiqun ; Chen, Liqiong ; Liu, Dongmei
Author_Institution
Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
fYear
2012
fDate
16-20 July 2012
Firstpage
42
Lastpage
51
Abstract
Service composition is an important means for integrating the individual Web services to create new value added systems that can satisfy complex requirements. However, it is a challenge to enforce fault diagnosis mechanism for those applications due to the uncertainty of service quality in distributive and heterogeneous environment. In this paper, a Byzantine fault diagnosis method for service composition based on Petri nets is proposed. The reliability of service are taken into account for the appropriate selection of required services. And a service composition fault net (SCFN) is proposed, which can be used to model different components of service composition. Finally, the fault detection strategy is provided for processing fault of service composition in dynamic environment. Theories of Petri nets help prove its correctness and effectiveness, thus guarantee the reliability of service composition. A case study illustrates the applicability of proposed method, and its feasibility has been demonstrated by simulation.
Keywords
Petri nets; Web services; fault diagnosis; software reliability; Petri Net based byzantine fault diagnosis method; SCFN; Web services; complex requirements; fault detection strategy; service composition fault net; service quality; service reliability; Analytical models; Fault detection; Fault diagnosis; Monitoring; Petri nets; Web services; Byzantine; Petri net; Service composition; detection; fault diagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference (COMPSAC), 2012 IEEE 36th Annual
Conference_Location
Izmir
ISSN
0730-3157
Print_ISBN
978-1-4673-1990-4
Electronic_ISBN
0730-3157
Type
conf
DOI
10.1109/COMPSAC.2012.63
Filename
6340244
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