Paper Info
Title
A multi-objective optimization method for service composition problem with sharing property
Abstract
For service level agreement aware service composition problem, the resource sharing property is integrated into it to further decrease the cost and make more applications can be successfully deployed. Based on the characteristic of this problem, a multi-objective service sharing optimization model is built, in which the attributes of throughput, latency and cost are simultaneous considered. To make more feasible service composition candidates be included, a particle swarm optimization based multi-objective algorithm is proposed to solve it. A new particle position form is defined to reflect the sharing relationship of concrete services among different service levels composite services, and a particle deployment strategy is designed to map a particle position to a resource sharing scheme composition. The proposed algorithm is compared with some recently proposed related algorithms on different scale cases. The results show that more feasible solutions with lower cost can be found when the resource sharing property is considered.
Year
DOI
Venue
2019
10.1016/j.swevo.2019.06.004
Swarm and Evolutionary Computation
Keywords
Field
DocType
Service composition,Service level agreement,Swarm intelligence,Quality of service
Particle swarm optimization,Software deployment,Service level,Computer science,Latency (engineering),Service-level agreement,Multi-objective optimization,Throughput,Shared resource,Distributed computing
Journal
Volume
ISSN
Citations 
49
2210-6502
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Changsheng Zhang121.75
Jiaxu Ning21419.00
Jiaxuan Wu300.34
Bin Zhang421341.40