Selecting Cloud Deployment Model Using a Delphi Analytic Hierarchy Process (DAHP)
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Abstract
Cloud computing is a significant paradigm shift in information technology (IT) service offerings that has been receiving enormous attention in academic and IT industry. Recent years has seen exponential growth in cloud use adoption, where many organizations are moving their IT resources into cloud due to flexibility and low-cost. However, on account of rapid innovation and growth in cloud technologies and service providers, selecting the right cloud services, provider and strategy is becoming increasing a common challenge to organization during cloud adoption. In an attempt to address this challenge, we propose application of Delphi Analytic Hierarchy Process (DAHP) method in selecting cloud deployment model. There are several cloud deployment models and organizations must identify the right model that best suits their business needs. The proposed approach facilitates a collaborative decision making process, consisting a number of decision makers whom, with consensus facilitated by the DAHP process, identifies feasible approaches, decision making factors and ultimate selection of a cloud deployment model alternative that is based on organizational business needs and capabilities. The DAHP process is illustrated by a means of a case study. The DAHP result analysis, as was illustrated in the case study, helps in explaining and justifying the choice selected as the best cloud deployment model.
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January 21, 2015
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Author Biography
Tridip Kumar Bardhan, Department of Industrial and System Engineering Morgan State University
Chair, Department of Industrial and Systems EngineeringReferences
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Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7–18. doi:10.1007/s13174-010-0007-6
Brunzel, T., & Di Giacomo, D. (2010). Cloud Computing Evaluation: how it differs to traditional IT outsourcing (Masters). Jonkoping University, Sweden. Retrieved from http://www.diva-portal.org/smash/record.jsf?pid=diva2:328402
Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25(6), 599–616.
Costa, P. M. A. C. (2013). Evaluating Cloud Services using Multicriteria Decision Analysis. Retrieved from https://fenix.tecnico.ulisboa.pt/downloadFile/395145548440/dissertacao.pdf
Dialogic Corporation. (2010). Introduction to Cloud Computing. Dialogic Corporation. Retrieved from http://www.dialogic.com/~/media/products/docs/whitepapers/12023-cloud-computing-wp.pdf
Hauck, M., Huber, M., Klems, M., Kounev, S., Müller-Quade, J., Pretschner, A., Tai, S. (2010). Challenges and opportunities of cloud computing. Karlsruhe Reports in Informatics, 19. Retrieved from http://digbib.ubka.uni-karlsruhe.de/vollt
exte/documents/1978786
KPMG International. (2011). The Cloud Changing the Business Ecosystem. KPMG International”),. Retrieved from http://www.kpmg.com/IN/en/IssuesAndInsights/ThoughtLeadership/The_Cloud_Changing_the_Business_Ecosystem.pdf
Lee, C., & Nickerson, B. (2011). Cloud computing: Vendor selection and asset protection. Deloitte. Retrieved from http://www.deloitte.com/assets/Dcom-UnitedStates/Local%20Assets/Documents/AERS/us_aers_foct_Protecting_yo
ur_investment_08292011.pdf
Marinescu, D. C. (2013). Cloud Computing: Theory and Practice. Boston: Morgan Kaufmann.
Ngeru, J. (2012). Multi-criteria decision analysis framework in the selection of an enterprise integration (EI) approach that best satisfies organizational requirements. Doctorate Dissertation, Morgan State University. Retrieved from http://gradworks.umi.com/35/16/3516883.html
Ngeru, J., Bardhan T., & Pitts, R. (2011). A Delphi-Multi-Criteria Decision Making Approach in the Selection of an Enterprise-Wide Integration Strategy. In Proceedings of the Second International Conference on Information Management and Evaluation. Academic Conferences.
Ngeru, J., Bardhan, T., Hargrove, K., & David, D. (2009). Developing Enterprise Integration Strategy Using an AHP approach. Journal of Management and Engineering Integration, 2(1).
Qu, L., Wang, Y., & Orgun, M. A. (2013). Cloud service selection based on the aggregation of user feedback and quantitative performance assessment. In Services Computing (SCC), 2013 IEEE International Conference on (pp. 152–159). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6649690
Saaty, T. L. (1980). The Analytic Hierarchy Process, Planning, Piority Setting, Resource Allocation. New York: McGraw-Hill.
Shawky, D. M. (2013). A cost-effective approach for hybrid migration to the cloud. International Journal of Computer and Information Technology, 2(1), 57–63.
Song, Z. (2013). A decision support system for application migration to the Cloud. Retrieved from http://elib.uni-stuttgart.de/opus/volltexte/2013/8262/
Sureshchandar, G. S., & Leisten, R. (2006). A framework for evaluating the criticality of software metrics: an analytic hierarchy process (AHP) approach. Measuring Business Excellence, 10(4), 22–33. doi:10.1108/13683040610719254
Taleai Mohammad, M. A. (2008). Using Delphi-AHP Method to Survey Major Factors Causing Urban Plan Implementation Failure. Journal of Applied Sciences. doi:10.3923/jas.2008.2746.2751
Tavana, M., Kennedy, D. T., Rappaport, J., & Ugras, Y. J. (1993). An AHP-Delphi Group Decision Support System Applied to Conflict Resolution in Hiring Decisions (SSRN Scholarly Paper No. ID 1373854). Rochester, NY: Social Science Research Network. Retrieved from http://papers.ssrn.com/abstract=1373854
Ustinovichius, L., Zavadkas, E. K., & Podvezko, V. (2007). Application of a quantitative multiple criteria decision making (MCDM-1) approach to the analysis of investments in construction. Control and Cybernetics, 36(1), 251–268.
Whaiduzzaman, M., Gani, A., Anuar, N. B., Shiraz, M., Haque, M. N., & Haque, I. T. (2014). Cloud Service Selection Using Multicriteria Decision Analysis. The Scientific World Journal, 2014, 1–10. doi:10.1155/2014/459375
Zardari, S., Bahsoon, R., & Ekart, A. (2014). Cloud Adoption: Prioritizing Obstacles and Obstacles Resolution Tactics Using AHP. In Requirements Engineering Track, The 29th ACM Symposium On Applied Computing, Gyeongju, Korea. Retrieved from http://www.cs.bham.ac.uk/~sxz845/Obstacles-AHP.pdf
Zhang, M., Ranjan, R., Haller, A., Georgakopoulos, D., & Strazdins, P. (2012). Investigating decision support techniques for automating cloud service selection. In Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on (pp. 759–764). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb
er=6427501
Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7–18. doi:10.1007/s13174-010-0007-6
How to Cite
Selecting Cloud Deployment Model Using a Delphi Analytic Hierarchy Process (DAHP). (2015). Industrial and Systems Engineering Review, 3(1), 59-70. https://doi.org/10.37266/ISER.2015v3i1.pp59-70
How to Cite
Selecting Cloud Deployment Model Using a Delphi Analytic Hierarchy Process (DAHP). (2015). Industrial and Systems Engineering Review, 3(1), 59-70. https://doi.org/10.37266/ISER.2015v3i1.pp59-70
