An Efficient Approach to Optimization of Service Composition in Cloud Environment

DOI

10.2991/macmc-17.2018.138How to use a DOI?

Keywords

service composition; optimization; cloud computing

Abstract

In cloud computing environment, service composition provides an effective way to implement a composite service. This paper investigates the issue of optimization of cloud service selection and composition in cloud environment. First, a cloud service filtrating and composition optimization index system is proposed, which can be used to characterize and differentiate services with similar functions and narrow the selection scope of candidate cloud services according to user requirements for subsequent composition. Then an optimization method is introduced for cloud service composition, which contains a service filtrating process based on evidential reasoning approach before the mathematical model is established and resolved. After that, the case study in a travel planning scenario is presented, which shows the proposed method can quickly reduce the solution space and improve the efficiency of service composition in cloud environment.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Yang
AU  - Sai Wang
AU  - Rong Li
PY  - 2018/01
DA  - 2018/01
TI  - An Efficient Approach to Optimization of Service Composition in Cloud Environment
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 729
EP  - 734
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.138
DO  - 10.2991/macmc-17.2018.138
ID  - Yang2018/01
ER  -