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Scientific Programming - Volume 2017 2017, Article ID 4358536, 9 pages - https:-doi.org-10.1155-2017-4358536

Research Article

School of Information Science and Engineering, Qufu Normal University, Rizhao 276826, China

School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China

Correspondence should be addressed to Lianyong Qi

Received 2 January 2017; Revised 27 February 2017; Accepted 19 April 2017; Published 9 May 2017

Academic Editor: Basilio B. Fraguela

Copyright © 2017 Lianyong Qi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The advent of cloud computing technology has enabled users to invoke various web services in a -pay-as-you-go- manner. However, due to the flexible pricing model of web services in cloud environment, a cloud user’ service invocation cost may be influenced by many factors e.g., service invocation time, which brings a great challenge for cloud users’ cost-effective web service invocation. In view of this challenge, in this paper, we first investigate the multiple factors that influence the invocation cost of a cloud service, for example, user’s job size, service invocation time, and service quality level; and afterwards, a novel Cloud Service Cost Optimization Method named CS-COM is put forward, by considering the above multiple impact factors. Finally, a set of experiments are designed, deployed, and tested to validate the feasibility of our proposal in terms of cost optimization. The experiment results show that our proposed CS-COM method outperforms other related methods.





Autor: Lianyong Qi, Jiguo Yu, and Zhili Zhou

Fuente: https://www.hindawi.com/



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