Login Register Cart 0
Generic placeholder image

International Journal of Sensors, Wireless Communications and Control

Editor-in-Chief

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

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
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.

« Previous Next »
Graphical Abstract

[1]
Dargha R. Cloud Computing key considerations for adoption. Infosys Tech Ltd 2009.
[2]
Kumar D, Chawla N. Cloud Computing Strategy: J Adp Cloud. In: Proc National Conference on Computing, Communication and Information Processing . 2015; pp. 112-22. Itanagar, Arunachal Pradesh, India
[3]
Saaty TL. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill 1980.
[4]
Saaty TL. Fundamentals of decision making and priority theory with the analytic hierarchy process. RWS Publications 2000.
[5]
Lee YC, Hanh TN. A Study on Decision Making Factors of Cloud Computing Adoption Using BCOR Approach. J Inf Technol Serv 2012; 11(1): 155-71.
[6]
Chawla N, Kumar D. Structural modeling of implementation enablers of cloud computing Adv Comp Compl Sci. Singapore: Springer 2018; pp. 273-86.
[http://dx.doi.org/10.1007/978-981-10-3773-3_27]
[7]
Edlund A. Cloud Computing, Pay-as-you-go computing 2009.https://www.pdc.kth.se/members/edlund/2009-May-27-LitGrid-Vilnius.pdf
[8]
Chawla N, Kumar D. Modelling of cloud computing enablers using MICMAC analysis and TISM Cloud Security: Concept Method Tool Appl. IGI Global 2019; pp. 876-8.
[http://dx.doi.org/10.4018/978-1-5225-8176-5.ch045]
[9]
Sharma DK, Chawla N, Deepak K. Cloud computing in smarter homes: enablement of internet of things Rev Busi Tech Res 2015; 12(1)
[10]
Pan Y, Ding S, Fan W, Li J, Yang S. Trust-enhanced cloud service selection model based on QoS analysis. PLoS One 2015; 10(11)
[http://dx.doi.org/10.1371/journal.pone.0143448 PMID: 26606388]
[11]
Goepel KD. BPMSG AHP Excel template with multiple inputs. Retr June 2015; 28: 2015.

Rights & Permissions Print Cite
Article Metrics
13
1
© 2024 Bentham Science Publishers | Privacy Policy