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2017 | OriginalPaper | Chapter

Cloud Service Resource Allocation with Particle Swarm Optimization Algorithm

Authors : Shi Cheng, Lantian Guo, Tao Yang, Jiqiang Feng, Yifei Sun, Chang Shao, Qiqi Duan

Published in: Bio-inspired Computing: Theories and Applications

Publisher: Springer Singapore

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Abstract

Cloud service resource allocation is an essential task in cloud computing. The cloud service resource allocation problem is modeled as an optimization problem, and is solved via different particle swarm optimization (PSO) variants in this paper. The aim of our method is to minimize the delay and the price at the same time. Based on the experimental results, it could be conducted that the good performance could be achieved via PSO algorithms. The future research is to utilize PSO algorithms on solving more real-world problems, especially with other quality of service problems.

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Metadata
Title
Cloud Service Resource Allocation with Particle Swarm Optimization Algorithm
Authors
Shi Cheng
Lantian Guo
Tao Yang
Jiqiang Feng
Yifei Sun
Chang Shao
Qiqi Duan
Copyright Year
2017
Publisher
Springer Singapore
Book
Bio-inspired Computing: Theories and Applications

Print ISBN: 978-981-10-7178-2

Electronic ISBN: 978-981-10-7179-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-7179-9_41

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