Trade-off-based Adoption Methodology for Cloud-Based Infrastructures and Services

  • Radhika Garg
  • Burkhard Stiller
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8508)


Adoption and consequent management of cloud-based infrastructures and services is driven by business requirements and objectives within an organization. The decision of either to move from a legacy system to a cloud-based system or to move from one cloud solution to another is based on various factors. A potential customer, therefore, should evaluate (a) relevant factors affecting the adoption of a cloud and (b) impacts cloud services will have on multi-faceted objectives of an organization. Existing methods for such an adoption process do not evaluate these two aspects for the decision of cloud adoption. Thus, this paper fills this gap by introducing a new Trade-off-based Adoption methodology for Cloud-based Infrastructures and Services (TrAdeCIS), which is based on the impact cloud-based services will have on the organization. This methodology developed will support organizations in decisions concerning (a) the selection of cloud service provider, (b) the type of cloud service to be adopted, and (c) the suitable type of cloud to be adopted. TrAdeCIS is illustrated based on a survey conducted with 10 organizations, who have adopted or plan to adopt cloud-based solution to fulfil their advanced IT requirements.


Cloud Computing Cloud Service Cloud Provider Analytic Network Process Cloud Service Provider 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Armbrust, M., Fox, A., Grith, R., Joseph, A.: A View of Cloud Computing of Cloud. Communications of the ACM 53(4), 50–58 (2010)Google Scholar
  2. 2.
    Beserra, P., Camara, A., Ximenes, R., Albuquerque, A.B., Mendonca, N.C.: Cloudstep: A Step-by-Step Decision Process to Support Legacy Application Migration to Cloud. In: 6th International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA), pp. 7–16. IEEE, Trento (2012)CrossRefGoogle Scholar
  3. 3.
    Blaxter, L., Hughes, C., Tight, M.: How to Research. McGraw-Hill International (2010)Google Scholar
  4. 4.
    Chang, V., Wills, G., Walters, R.J., Curie, W.: Towards a Structured Cloud ROI: The University of Southampton Cost-Saving and User Satisfaction Case Studies. In: Sustainable Green Computing: Practise, Methodologies and Technologies, pp. 179–200. IGI Global (2012)Google Scholar
  5. 5.
    Chhetri, M.B., Vo, Q.B., Kowalczyk, R.: Policy-based Automation of SLA Establishment for Cloud Computing Services. In: IEEE/ACM 12th International Symposium on Cluster, Cloud, and Grid Computing (CCGrid), pp. 164–171. IEEE, Ottawa (2012)Google Scholar
  6. 6.
    Deng, H., Yeh, C., Wills, R.: Inter-company Comparison Using Modified TOPSIS with Objective Weights. Computers and Operational Research 27(10), 963–973 (2000)CrossRefzbMATHGoogle Scholar
  7. 7.
    Ferrer, A., Hernandez, F., Tordsson, J., Elmroth, E., Zsigri, C., Sirvent, R., Guitart, J., Badia, R., Djemame, K., Ziegler, W., Dimitrakos, T., Nair, S., Kousiouris, G., Konstanteli, K., Varvarigou, T., Hudzia, B., Kipp, A., Wesner, S., Corrales, M., Forgo, N., Sharif, T., Sheridan, C.: OPTIMIS: A Holistic Approach to Cloud Service Provisioning. Future Generation Computer Systems 28(1), 66–77 (2012)CrossRefGoogle Scholar
  8. 8.
    Fito, J.O., Macias, M., Julia, F., Guitart, J.: Business-Driven IT Management for Cloud Computing Providers. In: 4th International Conference on Cloud Computing Technology and Science (CloudCom), pp. 193–200. IEEE, Taipei (2012)CrossRefGoogle Scholar
  9. 9.
    Geczy, P., Izumi, N., Hasid, K.: Cloudsourcing: Managing Cloud Adoption. GlobalJournal of Business Research 6(2), 57–70 (2012)Google Scholar
  10. 10.
    Greenwood, D., Khajeh-Hosseni, A., Smith, J., Sommerville, I.: The Cloud Adoption Toolkit: Addressing the Challenges of Cloud Adoption in Enterprise. Arxiv preprint, arXiv:1003.3866 (2010)Google Scholar
  11. 11.
    Khajeh-Hosseini, A., Greenwood, D., Sommerville, I.: Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS. In: 3rd International Conference on Cloud Computing (CLOUD), pp. 450–457. IEEE, Miami (2010)Google Scholar
  12. 12.
    Hwang, C., Yoon, K.: Multi Attribute Decision Making: Methods and Applications. Springer, Berlin (1981)CrossRefGoogle Scholar
  13. 13.
    Li, A., Yang, X., Kandula, S., Zhang, M.: Cloudcmp: Comparing Public Cloud Providers. In: ACM SIGCOMM Conference on Internet Measurement, pp. 1–14. ACM, Melbourne (2010)Google Scholar
  14. 14.
    Menzel, M., Schoenherr, M., Tai, S.: The (MC2)2 Criteria, Requirements and a Software Prototype for Cloud Infrastructure Decisions. In: Software: Practice and Experience. Wiley Online Library (2011)Google Scholar
  15. 15.
    Niemira, M., Saaty, T.: An Analytic Network Process Model for Financial-crisis Forecasting. International Journal of Forecasting 20(4), 573–587 (2004)CrossRefGoogle Scholar
  16. 16.
    Saripalli, P., Pingali, G.: MADMAC: Multiple Attribute Decision Methodology for Adoption of Clouds. In: 4th International Conference on Cloud Computing (CLOUD), pp. 316–323. IEEE, Washington DC (2011)Google Scholar
  17. 17.
    Saaty, T.: Fundamentals of the Analytic Network Process-dependence and Feedback in Decision-making with a Single Network. Journal of Systems Science and Systems Engineering 13(2), 129–157 (2004)CrossRefGoogle Scholar
  18. 18.
    Sedaghat, M., Hernandez, F., Elmroth, E.: Unifying Cloud Management: Towards Overall Governance of Business Level Objectives. In: IEEE/ACM 11th International Symposium on Cluster, Cloud, and Grid Computing (CCGrid), Newport Beach, CA, USA, pp. 591–597 (May 2011)Google Scholar
  19. 19.
    Sultan, N.A.: Reaching for the “Cloud”: How SMEs can Manage. International Journal of Information Management 31(3), 272–278 (2011)Google Scholar
  20. 20.
    Wang, J., Liu, S., Zhan, J.: An extension TOPSIS for Fuzzy MCDM Based on Vague Set Theory. Journal of Systems Science and Systems Engineering 14(1), 73–84 (2005)CrossRefGoogle Scholar
  21. 21.
    Wang, T., Chang, T.: Application of TOPSIS in Evaluating Initial Training Aircraft under a Fuzzy Environment. Expert Systems with Applications 33(4), 870–880 (2007)CrossRefGoogle Scholar
  22. 22.
    Zardari, S., Bahnsoon, R.: Cloud Adoption: A Goal-Oriented Requirements Engineering Approach. In: 2nd International Workshop on Software Engineering for Cloud Computing, pp. 29–35. ACM, Honolulu (2011)Google Scholar

Copyright information

© International Federation for Information Processing 2014

Authors and Affiliations

  • Radhika Garg
    • 1
  • Burkhard Stiller
    • 1
  1. 1.Department of Informatics IFIUniversity of ZurichSwitzerland

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