Abstract
For over a decade both cloud computing and application rationalization are IT-strategy priorities in most organizations. Cloud computing has grown in the last decade and will continue to grow steadily. Most organizations struggle with reducing the number of applications. There remains a strong resistance from the business, to consolidate and standardize the legacy application platforms. Potentially migrating legacy applications to Software-as-a-Service applications resolves the business migration concerns. As the Software-as-a-Service functionality is a ready to use functionality which can be assessed prior to phasing out legacy applications. This is a distinct difference from a scenario where legacy applications will be replaced by to-be-(custom)-build applications. Also the implementation roadmap of Software-as-a-Services applications is much shorter and most of the Software-as-a-Services applications have data migration tools to import the data from the legacy applications into the new environment. A survey of 124 organizations indicated weak negative linear relationship between the estimated percentage Software as a Service applications and the envisioned number of applications for organizations with +500 applications for the period 2017–2022 (three two year intervals).
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References
Anderson, E., Warrilow, M.: Market Insight: Cloud Shift — The Transition of IT Spending From Traditional Systems to Cloud. Gartner research report, ID: G00301664, 18 May (2016)
McGrath, B.: CloudView 2016: Customer Budgets Shift to the Cloud. IDC research report, doc # US40852416, June 2016 (2016)
Gartner: Gartner Says Worldwide Public Cloud Services Market to Grow 17 Percent in 2016. Press release, September 15 (2016). www.gartner.com/newsroom/id/3443517
Avram, M.: Advantages and challenges of adopting cloud computing from an enterprise perspective. Procedia Technol. 12, 529–534 (2014)
Beulen, E., Koolen S.: Cloud computing. In: Willcocks, L., Oshri, I., Kotlarsky, J. (eds.) Proceedings Sixth Global Sourcing Conference, March 12–15 (2012)
Gangwar, H., Date, H., Ramaswamy, R.: Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. J. Enterp. Inf. Manage. 28(1), 107–130 (2015)
Oliveira, T., Thomas, M., Espadanal, M.: Assessing the determinants of cloud computing adoption: an analysis of the manufacturing and services sectors. Inf. Manage. 51(5), 497–510 (2014)
Moreno-Vozmediano, R., Montero, R., Llorente, I.: Key challenges in cloud computing: enabling the future internet of services. IEEE Internet Comput. 17(4), 18–25 (2013)
Rittinghouse, J., Ransome, J.: Cloud Computing: Implementation, Management, and Security. CRC Press, London (2016)
Galliers, R., Leidner, D.: Strategic Information Management: Challenges and Strategies in Managing Information Systems. Routledge, London (2014)
Sun, L., et al.: Evaluating business value of IT towards optimisation of the application portfolio. Enterp. Inf. Syst. 10(4), 378–399 (2016)
Ward, J., Peppard, J.: The Strategic Management of Information Systems: Building a Digital Strategy. Wiley, London (2016)
Fenton, N., Bieman, J.: Software Metrics: A Rigorous and Practical Approach. CRC Press, London (2014)
McKeen, J., Smith, H.: Developments in practice XXXIV: application portfolio management. Commun. Assoc. Inf. Syst. 26(1), 9 (2010)
Sjøberg, D., et al.: Quantifying the effect of code smells on maintenance effort. IEEE Trans. Softw. Eng. 39(8), 1144–1156 (2013)
McAfee, A.: What every CEO needs to know about the cloud. Harv. Bus. Rev. 89(11), 124–132 (2011)
O’Driscoll, K.: The agile data modelling & design thinking approach to information system requirements analysis. J. Decis. Syst. 25(sup1), 632–638 (2016)
Wiegers, K., Beatty, J.: Software Requirements. Pearson Education, London (2013)
Carroll, N., Helfert, M., Lynn, T.: Towards the development of a cloud service capability assessment framework. In: Mahmood, Z. (ed.) Continued Rise of the Cloud. Computer Communications and Networks, pp. 289–336. Springer, London. doi:10.1007/978-1-4471-6452-4_12
Ganesan, A., Chithralekha, T.: A survey on survey of migration of legacy systems. In: Proceedings of the International Conference on Informatics and Analytics, August, p. 72 (2016)
Ravindran, K., Adiththan, A., Iannelli, M.: Benchmarks to compare cloud service providers for seamless customer migration. In: 2016 8th International Conference on Communication Systems and Networks (COMSNETS), January, pp. 1–8 (2016)
Chaisiri, S., Lee, B., Niyato, D.: Optimization of resource provisioning cost in cloud computing. IEEE Trans. Serv. Comput. 5(2), 164–177 (2012)
Gao, J., Bai, X., Tsai, W., Uehara, T.: Saas testing on clouds-issues, challenges and needs. In: 2013 IEEE 7th International Symposium on Service Oriented System Engineering (SOSE), March, pp. 409–415. IEEE (2013)
Huang, K., Shen, B.: Service deployment strategies for efficient execution of composite SaaS applications on cloud platform. J. Syst. Softw. 107, 127–141 (2015)
Kim, M., et al.: Building scalable, secure, multi-tenant cloud services on IBM Bluemix. IBM J. Res. Dev. 60(2–3), 8–10 (2016)
Beyer, M., Thoo, E., Zaidi, E., Greenwald, R.: Magic quadrant for data integration tools. Gartner research report. ID: G00303221, 8 August (2016)
Rao, R., Prakash, P.: Improving security for data migration in cloud computing using randomized encryption technique. IOSR J. Comput. Eng. 11(6), 39–42 (2013)
Nabi, M., Khendek, F., Toeroe, M.: Upgrade of the IaaS cloud: issues and potential solutions in the context of high-availability. In: 2015 IEEE International Symposium Software Reliability Engineering Workshops (ISSREW), November, pp. 21–24 (2015)
Teixeira, M.: Migrating legacy web apps to cloud computing environments: an architectural and economic perspective. In: Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, November, pp. 3–4 (2016)
Kuhlenkamp, J., Rudolph, K., Bermbach, D.: AISLE: assessment of provisioned service levels in public IaaS-based database systems. In: Barros, A., Grigori, D., Narendra, N.C., Dam, H.K. (eds.) ICSOC 2015. LNCS, vol. 9435, pp. 154–168. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-48616-0_10
Wu, L., et al.: SLA-based resource provisioning for hosted software-as-a-service applications in cloud computing environments. IEEE Trans. Serv. Comput. 7(3), 465–485 (2014)
Garrison, G., Kim, S., Wakefield, R.: Success factors for deploying cloud computing. Commun. ACM 55(9), 62–68 (2012)
Pahl, C.: Containerisation and the PaaS cloud. IEEE Cloud Comput. 2(3), 24–31 (2015)
Sandikkaya, M., Harmanci, A.: Security problems of platform-as-a-service (PaaS) clouds and practical solutions to the problems. In: 2012 IEEE 31st Symposium Reliable Distributed Systems (SRDS), pp. 463–468 (2012)
Cohen, J., Cohen, P., West, S., Aiken, L.: Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Routledge, London (2013)
David, F.: Tables of the Ordinates and Probability Integral of the Distribution of the Correlation Coefficient in Small Samples. Cambridge University Press, Cambridge (1938)
Hayes, A.: Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. Guilford Press, Guilford (2013)
Hedges, L., Olkin, I.: Statistical Methods for Meta-Analysis. Academic Press, Amsterdam (2014)
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Beulen, E. (2017). Cloud Readiness as an Enabler for Application Rationalization: A Survey in the Netherlands. In: Oshri, I., Kotlarsky, J., Willcocks, L. (eds) Global Sourcing of Digital Services: Micro and Macro Perspectives. Global Sourcing 2017. Lecture Notes in Business Information Processing, vol 306. Springer, Cham. https://doi.org/10.1007/978-3-319-70305-3_7
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