A Knowledge based Decision Making Tool to Support Cloud Migration Decision Making

Abdullah Alhammadi, Clare Stanier, Alan Eardley


Cloud computing represents a paradigm shift in the way that IT services are delivered within enterprises. Cloud computing promises to reduce the cost of computing services, provide on-demand computing resources and a pay per use model. However, there are numerous challenges for enterprises planning to migrate to a cloud computing environment as cloud computing impacts multiple aspects of enterprises and the implications of migration to the cloud vary between enterprises. This paper discusses the development of an holistic model to support strategic decision making for cloud computing migration. The proposed model uses a hybrid approach to support decision making, combining the analytical hierarchical approach (AHP) with Case Based Reasoning (CBR) to provide a knowledge based decision support model and takes into account five factors identified from the secondary research as covering all aspects of cloud migration decision making. The paper discusses the different phases of the model and describes the next stage of the research which will include the development of a prototype tool and use of the tool to evaluate the model in a real life context.


  1. Akomode, O.J., Lees, B. & Irgens, C., 1998. Constructing customised models and providing information to support IT outsourcing decisions. Logistics Information Management, 11(2), pp.114-127.
  2. Allen, B.P., 1994. Case-based reasoning: business applications. Communications of the ACM, 37(3), pp.40-42.
  3. Alonso, J. et al., 2013. Cloud modernization assessment framework: Analyzing the impact of a potential migration to Cloud. In 2013 IEEE 7th International Symposium on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems. IEEE, pp. 64-73.
  4. Alshamaila, Y., Papagiannidis, S. & Li, F., 2013. Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework. Journal of Enterprise Information Management, 26(3), pp.250- 275.
  5. Armenise, R. et al., 2014. The design of a Decision Support Tool for Delivery and Deployment Models. In 2014 IEEE 3rd Symposium on Network Cloud Computing and Applications. pp. 91-94.
  6. Avram, M.G., 2014. Advantages and Challenges of Adopting Cloud Computing from an Enterprise Perspective. Procedia Technology, 12, pp.529-534.
  7. Azeemi, I.K., Lewis, M. & Tryfonas, T., 2013. Migrating To The Cloud: Lessons And Limitations Of “Traditional” IS Success Models. Procedia Computer Science, 16, pp.737-746.
  8. Bernasconi, M., Choirat, C. & Seri, R., 2010. The Analytic Hierarchy Process and the Theory of Measurement. Management Science, 56(4), pp.699-711.
  9. Binz, T., Leymann, F. & Schumm, D., 2011. CMotion: A framework for migration of applications into and between clouds. 2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA), pp.1-4.
  10. Bruno, G. et al., 2012. AHP-based approaches for supplier evaluation: Problems and perspectives. Journal of Purchasing and Supply Management, 18(3), pp.159- 172.
  11. Carcary, M., Doherty, E. & Conway, G., 2013. The Adoption of Cloud Computing by Irish SMEs - an Exploratory Study. The Electronic Journal Information Systems Evaluation, 16(4), pp.258-269.
  12. Chang, B.-Y. et al., 2013. The determinant of adoption in cloud computing in Vietnam. In 2013 International Conference on Computing, Management and Telecommunications (ComManTel). IEEE, pp. 407- 409.
  13. Dagdeviren, M., Yavuz, S. & Kilinç, N., 2009. Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36(4), pp.8143-8151.
  14. Gonzenbach, I., Russ, C. & Brocke, J. vom, 2014. Make or Buy? Factors that Impact the Adoption of Cloud Computing on the Content Level. In J. vom Brocke & A. Simons, eds. Enterprise Content Management in Information Systems Research. Progress in IS. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 145-161.
  15. Gupta, P., Seetharaman, a. & Raj, J.R., 2013. The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), pp.861-874.
  16. Hashizume, K. et al., 2013. An analysis of security issues for cloud computing. Journal of Internet Services and Applications, 4(1), p.5.
  17. Hsu, C.-I., Chiu, C. & Hsu, P.-L., 2004. Predicting information systems outsourcing success using a hierarchical design of case-based reasoning. Expert Systems with Applications, 26(3), pp.435-441.
  18. Isiklar, G., Alptekin, E. & Büyüközkan, G., 2007. Application of a hybrid intelligent decision support model in logistics outsourcing. Computers & Operations Research, 34(12), pp.3701-3714.
  19. Johnson, B. & Qu, Y., 2012. A Holistic Model for Making Cloud Migration Decision: A Consideration of Security, Architecture and Business Economics. In 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications. IEEE, pp. 435-441.
  20. Kahraman, C. et al., 2009. Information systems outsourcing decisions using a group decision-making approach. Engineering Applications of …, 22, pp.832- 841.
  21. Kaisler, S., Money, W.H. & Cohen, S.J., 2012. A Decision Framework for Cloud Computing. In 2012 45th Hawaii International Conference on System Sciences. IEEE, pp. 1553-1562.
  22. Khajeh-Hosseini, A. et al., 2011. Decision Support Tools for Cloud Migration in the Enterprise. In 2011 IEEE 4th International Conference on Cloud Computing. IEEE, pp. 541-548.
  23. Khajeh-Hosseini, A. et al., 2012. The Cloud Adoption Toolkit: supporting cloud adoption decisions in the enterprise. Software: Practice and Experience, 42(4), pp.447-465.
  24. Khajeh-Hosseini, A., Greenwood, D. & Sommerville, I., 2010. Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS. 2010 IEEE 3rd International Conference on Cloud Computing, pp.450-457.
  25. Levary, R.R., 2008. Using the analytic hierarchy process to rank foreign suppliers based on supply risks. Computers & Industrial Engineering, 55(2), pp.535- 542.
  26. Lian, J.-W., Yen, D.C. & Wang, Y.-T., 2014. An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital. International Journal of Information Management, 34(1), pp.28-36.
  27. Low, C., Chen, Y. & Wu, M., 2011. Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7), pp.1006-1023.
  28. Marston, S. et al., 2011. Cloud computing - The business perspective. Decision Support Systems, 51(1), pp.176- 189.
  29. Martens, B. & Teuteberg, F., 2011. Decision-making in cloud computing environments: A cost and risk based approach. Information Systems Frontiers, 14(4), pp.871-893.
  30. Maurer, M. et al., 2010. Towards Knowledge Management in Self-Adaptable Clouds. In 2010 6th World Congress on Services. Ieee, pp. 527-534.
  31. McIvor, R. & Humphreys, P., 2000a. A case-based reasoning approach to the make or buy decision. Integrated Manufacturing Systems, pp.295-310.
  32. McIvor, R. & Humphreys, P., 2000b. A case-based reasoning approach to the make or buy decision. Integrated Manufacturing Systems, 11(5), pp.295-310.
  33. Mell, P. & Grance, T., 2011. The NIST Definition of Cloud Computing,
  34. Meng, X. et al., 2011. Legacy Application Migration to Cloud. 2011 IEEE 4th International Conference on Cloud Computing, pp.750-751.
  35. Menzel, M. & Ranjan, R., 2012. CloudGenius: decision support for web server cloud migration. In Proceedings of the 21st international conference on World Wide Web - WWW 7812. New York, New York, USA: ACM Press, pp. 979-988.
  36. Molla, A. & Licker, P.S., 2005. eCommerce adoption in developing countries: a model and instrument. Information & Management, 42(6), pp.877-899.
  37. Nussbaumer, N. & Liu, X., 2013. Cloud Migration for SMEs in a Service Oriented Approach. In 2013 IEEE 37th Annual Computer Software and Applications Conference Workshops. IEEE, pp. 457-462.
  38. Özcan, T., Çelebi, N. & Esnaf, S., 2011. Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), pp.9773-9779.
  39. Parakala, K. & Udhas, P., 2011. The Cloud Changing the Business Ecosystem. Available at: http://www. kpmg.com/IN/en/IssuesAndInsights/ThoughtLeadershi p/The_Cloud_Changing_the_Business_Ecosystem.pdf Perçin, S., 2009. Evaluation of third-party logistics (3PL) providers by using a two-phase AHP and TOPSIS methodology. Benchmarking: An International Journal, 16(5), pp.588-604.
  40. Raj, P. & Periasamy, M., 2011. The Cloud Challenges for Enterprise Architects. Cloud Computing for Enterprise Architectures.
  41. Saaty, T., 1994. How to make a decision: the analytic hierarchy process. European journal of operational research, 24(6), pp.19-43.
  42. Saaty, T.L., 2008. Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), pp.83 - 98.
  43. Tran, V.T.K. et al., 2011. Size Estimation of Cloud Migration Projects with Cloud Migration Point (CMP). 2011 International Symposium on Empirical Software Engineering and Measurement, pp.265-274.
  44. Varia, J. (2010) Migrating Your Existing Applications to the AWS Cloud (WWW) Amazon Web Service. Available from: http://d36cz9buwru1tt.cloudfront.net/ CloudMigration-main.pdf (Accessed 01/02/2012).
  45. Wang, X. et al., 2013. Service-Oriented Computing S. Basu et al., eds., Berlin, Heidelberg: Springer Berlin Heidelberg.
  46. Yam, C.-Y.C. et al., 2011. Migration to Cloud as Real Option: Investment Decision under Uncertainty. 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications, 0, pp.940-949.
  47. Yang, C. & Huang, J., 2000. A decision model for IS outsourcing. International Journal of Information Management, 20(3), pp.225-239.
  48. Yang, D. et al., 2007. Developing a decision model for business process outsourcing. Computers & Operations Research, 34(12), pp.3769-3778.

Paper Citation

in Harvard Style

Alhammadi A., Stanier C. and Eardley A. (2015). A Knowledge based Decision Making Tool to Support Cloud Migration Decision Making . In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-096-3, pages 637-643. DOI: 10.5220/0005464006370643

in Bibtex Style

author={Abdullah Alhammadi and Clare Stanier and Alan Eardley},
title={A Knowledge based Decision Making Tool to Support Cloud Migration Decision Making},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},

in EndNote Style

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Knowledge based Decision Making Tool to Support Cloud Migration Decision Making
SN - 978-989-758-096-3
AU - Alhammadi A.
AU - Stanier C.
AU - Eardley A.
PY - 2015
SP - 637
EP - 643
DO - 10.5220/0005464006370643