Cloud Computing Adoption, Cost-benefit Relationship and Strategies for Selecting Providers: A Systematic Review

Antonio Carlos Marcelino de Paula, Glauco de Figueiredo Carneiro

Abstract

Context: Cloud computing has been one of the most promising computing paradigms in industry to provide a customizable and resourceful platform to deploy software. There are a number of competing providers and available services that allows organizations to access computing services without owning the corresponding infrastructure. Goal: Identify the main characteristics of opportunities to migrate to the cloud, the respective challenges and difficulties as well as factors that affect the cost-benefit relationship of such adoption. Method: This paper presents a systematic literature review to compare reported strategies of organizations to migrate and adopt cloud computing and their perception of the cost-benefit of this adoption. Results: The overall data collected from these studies depicts that a significant part of the companies perceived inclination towards for the innovation adoption process influenced by technological, organizational and environmental contexts. Conclusion: Due to the variety of strategies, approaches and tools reported in the primary studies, it is expected that the results in this systematic literature review would help in establishing knowledge on how the companies should adopt and migrate to the cloud, how the cost-benefit relationship can be evaluated as well as providers can be selected. These findings can be a useful reference to develop guidelines for an effective use of cloud computing.

References

  1. Breivold, H. P., Crnkovic, I., Radosevic, I., and Balatinac, I. (2014). Architecting for the cloud: A systematic review. In Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on, pages 312-318. IEEE.
  2. Brereton, P., Kitchenham, B. A., Budgen, D., Turner, M., and Khalil, M. (2007). Lessons from applying the systematic literature review process within the software engineering domain. Journal of Systems and Software, 80(4):571-583.
  3. Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., and 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.
  4. Chen, L. and Babar, M. A. (2011). A systematic review of evaluation of variability management approaches in software product lines. Information and Software Technology, 53(4):344-362.
  5. Davis, F. D. (1987). User acceptance of information systems: the technology acceptance model (tam).
  6. Dyba, T. and Dingsoyr, T. (2008). Empirical studies of agile software development: A systematic review. Information and Software Technology, 50(9-10):833-859.
  7. Garg, S. K., Versteeg, S., and Buyya, R. (2013). A framework for ranking of cloud computing services. Future Generation Computer Systems, 29(4):1012-1023.
  8. Garrison, G., Kim, S., and Wakefield, R. L. (2012). Success factors for deploying cloud computing. Communications of the ACM, 55(9):62-68.
  9. Gupta, P., Seetharaman, A., and Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5):861-874.
  10. Jamshidi, P., Ahmad, A., and Pahl, C. (2013). Cloud Migration Research: A Systematic Review. IEEE Trans. Cloud Comput., 1(2):142-157.
  11. Jula, A., Sundararajan, E., and Othman, Z. (2014). Cloud computing service composition: A systematic literature review. Expert Systems with Applications, 41(8):3809-3824.
  12. Kitchenham, B. and Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. In Technical report, Ver. 2.3 EBSE Technical Report. EBSE.
  13. Li, A., Yang, X., Kandula, S., and Zhang, M. (2010). Cloudcmp: comparing public cloud providers. In Proceedings of the 10th ACM SIGCOMM conference on Internet measurement, pages 1-14. ACM.
  14. Li, Q., Wang, C., Wu, J., Li, J., and Wang, Z.-Y. (2011). Towards the business-information technology alignment in cloud computing environment: an approach based on collaboration points and agents. International Journal of Computer Integrated Manufactur-
  15. Li, Z., O'Brien, L., Cai, R., and Zhang, H. (2012a). Towards a taxonomy of performance evaluation of commercial cloud services. In Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on, pages 344-
  16. Li, Z., O'Brien, L., Zhang, H., and Cai, R. (2012b). On a catalogue of metrics for evaluating commercial cloud services. In Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing, pages 164-173. IEEE Computer Society.
  17. Li, Z., Zhang, H., OBrien, L., Cai, R., and Flint, S. (2013). On evaluating commercial cloud services: A systematic review. Journal of Systems and Software, 86(9):2371-2393.
  18. Mahesh, S., Landry, B. J., Sridhar, T., and Walsh, K. R. (2013). A decision table for the cloud computing decision in small business. Managing Information Resources and Technology: Emerging Applications and Theories: Emerging Applications and Theories, page
  19. Mell, P. and Grance, T. (2011). The nist definition of cloud computing.
  20. Noblit, G. W. and Hare, R. D. (1988). Meta-ethnography: Synthesizing qualitative studies, volume 11. Sage.
  21. Rogers, E. (2003). Diffusion of innovations, 5th edn free press. New York.
  22. Tornatzky, L. and Fleischer, M. (1990). The process of technology innovation, lexington, ma. Lexington Books. Trott, P.(2001). The Role of Market Research in the Development of Discontinuous New Products. European Journal of Innovation Management, 4:117-125.
  23. Weiss, A. (2007). Computing in the clouds. Computing, 16.
  24. Zhang, H., Babar, M. A., and Tell, P. (2011). Identifying relevant studies in software engineering. Information and Software Technology, 53(6):625-637.
Download


Paper Citation


in Harvard Style

de Paula A. and Carneiro G. (2016). Cloud Computing Adoption, Cost-benefit Relationship and Strategies for Selecting Providers: A Systematic Review . In Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-189-2, pages 27-39. DOI: 10.5220/0005872700270039


in Bibtex Style

@conference{enase16,
author={Antonio Carlos Marcelino de Paula and Glauco de Figueiredo Carneiro},
title={Cloud Computing Adoption, Cost-benefit Relationship and Strategies for Selecting Providers: A Systematic Review},
booktitle={Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering - Volume 1: ENASE,},
year={2016},
pages={27-39},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005872700270039},
isbn={978-989-758-189-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering - Volume 1: ENASE,
TI - Cloud Computing Adoption, Cost-benefit Relationship and Strategies for Selecting Providers: A Systematic Review
SN - 978-989-758-189-2
AU - de Paula A.
AU - Carneiro G.
PY - 2016
SP - 27
EP - 39
DO - 10.5220/0005872700270039