Improving Cloud Service Provider Profits Using Repeated Ranking
Saikishor Jangiti1, Hariraj Venkatesan2, Praveen Kumar C3, Shankar Sriram. V. S.4
1Saikishor Jangiti, Center for Information Super Highway (CISH), School of Computing, SASTRA Deemed University, Thanjavur (Tamil Nadu), India.
2Hariraj Venkatesan, School of Computing, SASTRA Deemed University, Thanjavur (Tamil Nadu), India.
3Praveen Kumar C, Center for Information Super Highway (CISH), School of Computing, SASTRA Deemed University, Thanjavur (Tamil Nadu), India.
4Shankar Sriram. V. S., School of Computing, SASTRA Deemed University, Thanjavur (Tamil Nadu), India.
Manuscript received on 22 April 2019 | Revised Manuscript received on 01 May 2019 | Manuscript Published on 07 May 2019 | PP: 27-30 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1006376S19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Corporates adopt cloud computing services due to the ease of obtaining services instead of maintaining huge infrastructure. The demands of customers and services provided by Cloud Service Providers (CSP) are characterized using the Quality of Service (QoS) attributes. Each customer has different QoS requirements depending on their business and CSPs provide services with different QoS. Several multi-criteria decision frameworks exist for identifying the most suitable CSP. These mechanisms are mainly built for customers’ benefits. In this paper, we propose Binary Search Cost Update (BSCU), a framework that uses AHP to increase the profits of CSPs. We compare the CSP’s performance using rankings and then identify a higher price for the same set of services that are provided. The higher price will not affect the Trust value of the CSP and the rankings will remain the same even after prices are increased. Using BSCU, CSPs can increase the prices and generate more income with profits up to 19%.
Keywords: Cloud Computing; CSP Profit Maximization; Ranking of CSPs.
Scope of the Article: Cloud Computing