Paper Info
Title
Alliance-Aware Service Composition Based on Quotient Space
Abstract
Along with the progress of the enterprise globalization, alliance and cooperation have become an important means for enterprises to improve their competitiveness in the market. Yet, most current methods for Service Composition Optimization (SCO) fail to address the Alliance Relation (AR) between services and assume that services are independent of each other. To address this issue, this paper presents an alliance-aware service composition method. Firstly, the fundamental properties of the AR are given based on a multi-granularity service composition model. Secondly, alliance relation granularity is coarsened into a relation granulation quotient space and the domain elements are matched reversely with service compositions, thereby reducing the complexity of query and computation of the AR. Finally, a Relation Granularity-aware Particle Swarm Optimization Algorithm (RG-PSO) is proposed based on relation granulation quotient space to solve the alliance-aware SCO prolem. Substantial experimental results show that the proposed model and algorithm are effective and efficient.
Year
DOI
Venue
2016
10.1109/ICWS.2016.51
2016 IEEE International Conference on Web Services (ICWS)
Keywords
Field
DocType
Alliance Relation (AR),Service Composition,Quotient Space,Granulation,Domination Relation (DR)
Particle swarm optimization,Data mining,Alliance,Computer science,Quotient space (topology),Real-time computing,Theoretical computer science,Service composition,Granularity,Computation
Conference
ISBN
Citations 
PageRank 
978-1-5090-2676-0
6
0.46
References 
Authors
16
4
Name
Order
Citations
PageRank
Yiwen Zhang1345.05
Guangming Cui2743.15
Shuiguang Deng3107283.66
Qiang He420418.15