Satisfaction aware QoS-based bidirectional service mapping in cloud environment
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Satisfaction aware QoS-based bidirectional service mapping in cloud environment Neeraj1 • Major Singh Goraya1 • Damanpreet Singh1 Received: 8 May 2019 / Revised: 13 December 2019 / Accepted: 1 February 2020 Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Due to large-scale growth in the number of service providers and consumers in cloud, their efficient mapping has become a complex undertaking. In most of the recent research works, quality of service (QoS) based selection of a service provider for a consumer has been recommended for service mapping. This is a unidirectional approach where the mapping of service is based on the service providers’ evaluation in the context of QoS requirements of a consumer. But, in the business perspective of cloud, the bidirectional evaluation of the participating entities (service providers and consumers) in the mapping process is necessary for increasing their service satisfaction. Therefore, this paper proposes a mutual evaluationbased cloud service mapping (MECSM) framework which addresses the bidirectional evaluation of both the service providers and consumers. MECSM framework uses the Analytic Hierarchy Process method to evaluate the service providers and standard RFM (Recency, Frequency, and Monetary) model to evaluate the consumers. A mathematical model is evolved to draw the service satisfaction of the service provider and consumer involved in a service transaction. The process of service mapping is depicted through a case study. The stability of the MECSM framework is validated by performing the sensitivity analysis. For performance analysis, the scaling range of service providers and consumers in a controlled overhead is obtained through the extensive simulation experiments. A comparison of results with the existing service mapping frameworks proves its better performance in the cloud. Keywords Cloud computing Business model Quality of service Ranking Service mapping
1 Introduction Currently, cloud computing is a dominant, utility-based computing service model around the world. This is evidenced by the projection of 3.6 billion cloud consumers in the year 2018 which has been recorded 2.4 billion in the year 2013 [1]. Primary reasons for its widespread adoption are the ease of use of the cloud-based services freely in a quantifiable manner, any-time from anywhere and the availability of underlying technologies to set up and optimize high-end data & Neeraj [email protected] Major Singh Goraya [email protected] Damanpreet Singh [email protected] 1
Sant Longowal Institute of Engineering and Technology, Longowal, India
centers [2]. Both the primary participating entities in cloud i.e. cloud service providers and consumers are duly benefitted from its service architecture. Service consumers obtain the benefits of higher scalability, availability, flexibility, and the low upfront cost [3], whereas, service providers obtain the benefits from the virtualization and time-sharing technol
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