Paper Info
Title
Efficient Correlation-Aware Service Selection
Abstract
Accounting for quality correlations among web services when performing service composition is essential to obtain more accurate quality estimations of service combinations, thus providing users with better composite solutions. Yet, most current composition approaches fail to address such correlations by assuming independence between services regarding their quality values. In response, this paper presents a correlation-aware composition approach, where quality dependencies among services are modelled and considered during composite service selection. Moreover, to improve selection efficiency, correlation-aware search space reduction techniques are introduced, which prune out uninteresting service compositions prior to selection. The effectiveness of the approach, in terms of time and optimality, is demonstrated via experimental results
Year
DOI
Venue
2012
10.1109/ICWS.2012.62
ICWS
Keywords
Field
DocType
uninteresting service composition,quality correlation,quality value,accurate quality estimation,composite service selection,quality dependency,web service,correlation-aware composition approach,service composition,service combination,efficient correlation-aware service selection,quality of service,service oriented architecture,reliability,service oriented computing,silicon,correlation,pruning,planning,web services
Data mining,Mobile QoS,Service level objective,Computer science,Quality of service,Service level requirement,Web service,WS-Policy,Service delivery framework,Customer Service Assurance,Database
Conference
Citations 
PageRank 
References 
22
0.89
9
Authors
3
Name
Order
Citations
PageRank
Lina Barakat1558.00
Simon Miles21599109.29
Michael Luck33440275.97