A Consumer-Oriented Decision-Making Approach for Selecting the Cloud Storage Service: From PAPRIKA Perspective

Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 296)


In recent years there is a growth in the number of companies that offers cloud storage solutions. From user’s perspectives, it is becoming a challenging task to choose which cloud storage to use and from whom, based on user’s needs. In this context, no framework can evaluate the decision criteria for selection of cloud storage services. This paper proposes a solution to this problem by identifying the cloud storage criteria and introduces the PAPRIKA approach for measuring the criteria of cloud storage based on client’s preference. This work demonstrated the applicability of the framework (decision model) by testing it with eleven users of cloud storage services. The results showed that the model could help users in making a more informative decision about cloud storage services.


Cloud storage Decision making PAPRIKA approach 


  1. 1.
    Buyya, R., et al.: Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Gener. Comput. Syst. 25(6), 599–616 (2009)CrossRefGoogle Scholar
  2. 2.
    Trustradius. Cloud Storage Providers (2015). Accessed 17 Mar 2016
  3. 3.
    GfK. How essential is cloud storage for global consumers? (2015). Accessed 10 Nov 2016
  4. 4.
    Cisco Visual Networking: Cisco Global Cloud Index: Forecast and Methodology, 2012–2017, (White Paper) (2013). Accessed 13 Nov 2016
  5. 5.
    Abran, A., et al.: Consolidating the ISO usability models. In: Proceedings of 11th International Software Quality Management Conference (2003)Google Scholar
  6. 6.
    Connor, D., et al.: Cloud storage: adoption, practice and deployment. An Outlook Report from Storage Strategies NOW (2011)Google Scholar
  7. 7.
    Walker, E., Brisken, W., Romney, J.: To lease or not to lease from storage clouds. Computer 43(4), 44–50 (2010)CrossRefGoogle Scholar
  8. 8.
    Ruiz-Alvarez, A., Humphrey, M.: A model and decision procedure for data storage in cloud computing. In: 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). IEEE (2012)Google Scholar
  9. 9.
    Garg, S.K., Versteeg, S., Buyya, R.: A framework for ranking of cloud computing services. Future Gener. Comput. Syst. 29(4), 1012–1023 (2013)CrossRefGoogle Scholar
  10. 10.
    ISO, ISO/IEC 9126: Information Technology-Software Product Evaluation-Quality Characteristics and Guidelines for Their Use (1991)Google Scholar
  11. 11.
    CSMIC, Service Measurement Index Framework Version 1.0 in USA 2014, Carnegie Mellon University Silicon Valley (2014)Google Scholar
  12. 12.
    Hansen, P., Ombler, F.: A new method for scoring additive multi-attribute value models using pairwise rankings of alternatives. J. Multi-criteria Decis. Anal. 15(3–4), 87–107 (2008)CrossRefGoogle Scholar
  13. 13.
    Forman, E.H., Selly, M.A.: Decision by Objectives: How to Convince Others that You are Right. World Scientific, Singapore (2001)CrossRefGoogle Scholar
  14. 14.
    Saaty, T.L.: How to make a decision: the analytic hierarchy process. Eur. J. Oper. Res. 48(1), 9–26 (1990)CrossRefzbMATHGoogle Scholar
  15. 15.
    Ombler, F., Hansen, P.: 1000Minds software (2012)Google Scholar
  16. 16.
    De Vaus, D.: Surveys in Social Research. Routledge, Abingdon (2013)Google Scholar
  17. 17.
    Macefield, R.: How to specify the participant group size for usability studies: a practitioner’s guide. J. Usability Stud. 5(1), 34–45 (2009)Google Scholar
  18. 18.
    Hastie, R., Dawes, R.M.: Rational Choice in an Uncertain World: The Psychology of Judgment and Decision Making. Sage, Thousand Oaks (2010)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.School of Computing and Information TechnologyUniversity of WollongongWollongongAustralia
  2. 2.School of Software and Electrical EngineeringSwinburne University of TechnologyMelbourneAustralia

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