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International Journal of Sensors, Wireless Communications and Control

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ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

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Research Article

Decision-Making Model to Evaluate Cloud Computing Service Model Using Analytic Hierarchy Process (AHP) and Benefits, Costs, Opportunities, and Risks (BCOR) Analysis

Author(s): Nitin Chawla* and Deepak Kumar

Volume 10, Issue 6, 2020

Page: [846 - 856] Pages: 11

DOI: 10.2174/2210327909666181217094402

Price: $65

Abstract

Background & Objective: Organizations have started evaluating business applications which are on hosted model. Organizations need not to focus on choosing the deployment model or buying the hardware or setup infrastructure instead they are choosing business application which are easily available on SaaS model or platform model. Organizations are analyzing the adoption of Cloud Computing service models due to reduced the load of IT overheads and to bring agility in deploying applications. An organization should have the scientific way to choose and identify the right service model to fulfill its IT and business needs.

Methods: This research paper focuses on proposing a decision model with the help of Analytic Hierarchy Process (AHP) and benefit-cost- opportunity-risk (BCOR) analysis to select the appropriate service models i.e. SaaS or PaaS or IaaS to fulfill the business needs. It suggests a range of key attributes which act as building blocks of the model based on Analytic Hierarchy Process (AHP). The model will provide the benefits, cost, opportunity and risks of cloud computing services for the three service models of cloud computing.

Conclusion: This study results will be useful for organizations to adopt cloud computing service model which suites the requirements as well as rapid deployment of the applications.

Keywords: Analytic Hierarchy Process (AHP), Benefit-Cost-Opportunity-Risk (BCOR), cloud computing, service models, MAGDM, risk hierarchy.

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