Research Article
Multi-objective Evolutionary Optimization of Service Provider Selection Problems with Dynamic Demands
@INPROCEEDINGS{10.4108/icst.bict.2014.257873, author={Jian-Hung Chen and Joey Ying Lee and Ting-Jung Wen}, title={Multi-objective Evolutionary Optimization of Service Provider Selection Problems with Dynamic Demands}, proceedings={8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)}, publisher={ICST}, proceedings_a={BICT}, year={2015}, month={2}, keywords={evolutionary algorithms cloud computing provider selection dynamic optimization}, doi={10.4108/icst.bict.2014.257873} }- Jian-Hung Chen
Joey Ying Lee
Ting-Jung Wen
Year: 2015
Multi-objective Evolutionary Optimization of Service Provider Selection Problems with Dynamic Demands
BICT
ACM
DOI: 10.4108/icst.bict.2014.257873
Abstract
In this paper, a multi-objective evolutionary approach for solving cloud computing service provider selection problems with the demands of service requests change over the given periods. The objective of this problem is to select a number of cloud service provider while optimizing the quality of service (QoS) indicator, the total number of serviced demand points and the total service purchase costs simultaneously in the given continuous time periods. A multi-objective genetic approach with a seeding mechanism is proposed to solve the investigated problems. A real benchmark problem is examined and solved using the proposed multi-objective evolutionary algorithm. The results indicate that the proposed approach is capable of obtaining a number of non-dominated solutions for decision makers.
