Title
A Self-healing composite Web service model
Abstract
Composite Web services are often long-running, loosely coupled and cross-organizational applications. They always run in a highly dynamic environment. For the applications and environment, advanced transaction support is required to ensure the quality of reliable execution. Towards composite service adaptive mechanism unavailable for lacking transaction support, this paper proposes a self-healing model for Web service reliable execution, which is an integration of flexible compensation service in selection and reselecting in execution. In order to make the composite service healing itself as quickly as possible and minimize the number of reselections, away of mining cascading scope of replacement in advance by considering full multi-relation among transaction Web services is proposed in this paper. Further more, a new comprehensive, objective QoS-driven service replacement model with compensation support is presented, and the self-healing algorithm is proposed. Experiments show that the model guarantees business process reliability.
Year
DOI
Venue
2009
10.1109/APSCC.2009.5394108
APSCC
Keywords
Field
DocType
transactional,business process reliability,web services,self-healing algorithm,quality of service,web service reliable execution,self-healing model,transaction web services,highly dynamic environment,long-running application,loosely coupled application,objective qos-driven service replacement model,composite service adaptive mechanism,composite service healing,cross-organizational application,software fault tolerance,self-healing composite web service model,compensation,compensation support,self-healing,advanced transaction support,flexible compensation service,web service,computational modeling,algorithm design and analysis,business,data mining,business process
Self-healing,Algorithm design,Business process,Computer science,Software fault tolerance,Quality of service,Composite web services,Database transaction,Web service,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4244-5336-8
3
0.39
References 
Authors
11
4
Name
Order
Citations
PageRank
Ying Yin1327.59
Bin Zhang221341.40
Xi-zhe Zhang3388.94
Yuhai Zhao410919.49