Abstract
Cloud Computing is not the buzzword but it is a shift of IT departments to the outsourcing vendors without impacting the business efficiency. Some organizations are moving toward cloud computing but many are having a resistance in adopting cloud computing due to limitation of knowledge and awareness in classifying the elements, which affect decision for the acceptance of cloud computing. Therefore, this research paper has focused on accumulating the elements, which can act as enablers, by reviewing existing literature and study from professional and academic viewpoint. All the identified enablers have been structurally modeled to develop the relationship matrix and establish the driving power and dependence power of every element by employing Total Interpretive Structural Modeling (TISM) and Cross Impact Matrix Multiplication Applied to Classification (MICMAC) analysis.
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References
Sage A. P., Interpretive structural modeling: Methodology for large scale systems, New York, NY: McGraw-Hill (1977).
Rajkumar Buyyaa, Chee Shin Yeo, Srikumar Venugopal, James Broberg, Ivona Brandic, Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility, journal homepage: www.elsevier.com/locate/fgcs, (2009).
Deepak Kumar & Nitin Chawla, Cloud Computing Strategy: Journey to Adoption of cloud, Proc. National Conference on Computing, Communication and Information Processing, Itanagar, Arunachal Pradesh, India, pp. 112–122 (2015).
Final Version of NIST Cloud Computing Definition Published. Available online: http://www.nist.gov/itl/csd/cloud-102511.cfm (25 August 2013).
Mell, P and Grance, T. The NIST Definition of Cloud Computing, NIST, USA. available at: http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf, USA, 2009.
Virendra Singh Kushwah & Aradhana Saxena, A Security approach for Data Migration in Cloud Computing, International Journal of Scientific and Research Publications, Volume 3, Issue 5, May 2013.
W. Liu. ‘Research on cloud computing security problem and strategy.’ IEEE, pp 1216–1219, (2012).
Behl K. & Behl A., An analysis of cloud computing security issues, IEEE Transactions on Information and Communication Technologies (WICT), 2(2) 109–114 (2012).
Lee, Young-Chan and Hanh, Tang Nguyen, A Study on Decision Making Factors of Cloud Computing Adoption Using BCOR Approach, Journal of the Korea society of IT services Vol.11, Issue 1, 2012, 155–171, doi:10.9716/KITS.2012.11.1.155.
Nuseibeh, Hasan, “Adoption of Cloud Computing in Organizations”, AMCIS 2011 Proceedings - All Submissions. Paper 372 (2011).
Warfield, J. W., Developing interconnected matrices in structural modeling. IEEE transcript on systems, Volume 4, Issue 1, Pages 51–58 (1974).
Sabahi, F. Virtualization-level security in cloud computing. In Proceedings of the 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN), Xi’an, China, 27– 29; pp. 250–254. (May 2011).
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Chawla, N., Kumar, D. (2018). Structural Modeling of Implementation Enablers of Cloud Computing. In: Bhatia, S., Mishra, K., Tiwari, S., Singh, V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 554. Springer, Singapore. https://doi.org/10.1007/978-981-10-3773-3_27
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DOI: https://doi.org/10.1007/978-981-10-3773-3_27
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