Skip to main content
SpringerLink
Log in

ClouDSS: A Decision Support System for Cloud Service Selection

  • Conference paper
  • First Online:
Economics of Grids, Clouds, Systems, and Services (GECON 2017)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10537))

Abstract

Cloud computing brings in significant technical advantages and enables companies, especially small and medium size enterprises (SMEs), to eliminate up-front capital expenditures. This is due to the various benefits it provides, such as pay-as-you-go service model, flexibility of services, and on-demand accessibility. The proliferation of cloud services leads to their wide spread use and calls for comprehensive evaluation approaches in order to be able to choose the most suitable alternatives. To this end, existing studies in the literature generally provide solutions incorporating a single method for making such decisions. Therefore, this study proposes a more comprehensive solution in the form of a decision support system named as ClouDSS which employs various Multi-Criteria Decision Making (MCDM) methods with the aim of optimizing cloud service selection decisions. ClouDSS has a default decision model, which can be customized according to enterprise-specific requirements, for evaluating the suitability of cloud services with respect to business needs. After presenting the main components of ClouDSS, the employed cloud service selection process is described in order to highlight the associated tasks, including both objective and subjective evaluation approaches. Furthermore, the applicability of the proposed system is demonstrated through a case study.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Sultan, N.A.: Reaching for the “cloud”: how SMEs can manage. Int. J. Inf. Manage. 31, 272–278 (2011)

    Article  Google Scholar 

  2. Erdogmus, H.: Cloud computing: does Nirvana hide behind the Nebula? IEEE Softw. 26, 4–6 (2009)

    Google Scholar 

  3. Dillon, S., Vossen, G.: SaaS Cloud computing in small and medium enterprises: a comparison between Germany and New Zealand. Int. J. Inf. Technol. Commun. Converg. 3, 1–16 (2009)

    Google Scholar 

  4. Carcary, M., Doherty, E., Conway, G., McLaughlin, S.: Cloud computing adoption readiness and benefit realization in Irish SMEs—an exploratory study. Inf. Syst. Manag. 31, 313–327 (2014)

    Article  Google Scholar 

  5. Dutta, A., Peng, G.C.A., Choudhary, A.: Risks in enterprise cloud computing: the perspective of IT experts. J. Comput. Inf. Syst. 53, 39–48 (2013)

    Google Scholar 

  6. Tse, D.W.K., Chen, D., Liu, Q., Wang, F., Wei, Z.: Emerging issues in cloud storage security: encryption, key management, data redundancy, trust mechanism. In: Wang, L.S.-L., June, J.J., Lee, C.-H., Okuhara, K., Yang, H.-C. (eds.) MISNC 2014. CCIS, vol. 473, pp. 297–310. Springer, Heidelberg (2014). doi:10.1007/978-3-662-45071-0_24

    Google Scholar 

  7. Wu, W.-W., Lan, L.W., Lee, Y.-T.: Factors hindering acceptance of using cloud services in university: a case study. Electron. Libr. 31, 84–98 (2013)

    Article  Google Scholar 

  8. El-Gazzar, R.F.: A literature review on cloud computing adoption issues in enterprises. In: Bergvall-Kåreborn, B., Nielsen, P.A. (eds.) TDIT 2014. IAICT, vol. 429, pp. 214–242. Springer, Heidelberg (2014). doi:10.1007/978-3-662-43459-8_14

    Chapter  Google Scholar 

  9. Oliveira, T., Thomas, M., Espadanal, M.: Assessing the determinants of cloud computing adoption: an analysis of the manufacturing and services sectors. Inf. Manag. 51, 497–510 (2014)

    Article  Google Scholar 

  10. Yang, H., Tate, M.: A descriptive literature review and classification of cloud computing research. Commun. Assoc. Inf. Syst. 31, 35–60 (2012)

    Google Scholar 

  11. O’Brien, J.A., Marakas, G.: Introduction to Information Systems. McGraw-Hill, Inc., New York (2005)

    Google Scholar 

  12. Szabo, S., Ferencz, V., Pucihar, A.: Trust, Innovation and Prosperity. Qual. Innov. Prosper. 17, 1–8 (2013)

    Article  Google Scholar 

  13. Al-Isma’ili, S., Li, M., Shen, J., He, Q.: Cloud computing adoption decision modelling for SMEs: a conjoint analysis. Int. J. Web Grid Serv. 12, 296 (2016)

    Article  Google Scholar 

  14. Talukder, A.K., Zimmerman, L., Prahalad, H.A.: Cloud economics: principles, costs, and benefits. In: Antonopoulos, N., Gillam, L. (eds.) Cloud Computing. Computer Communications and Networks, pp. 343–360. Springer, London (2010). doi:10.1007/978-1-84996-241-4_20

    Chapter  Google Scholar 

  15. Seethamraju, R.: Adoption of software as a service (SaaS) enterprise resource planning (ERP) systems in small and medium sized enterprises (SMEs). Inf. Syst. Front. 17, 475–492 (2015)

    Article  Google Scholar 

  16. Whaiduzzaman, M., Gani, A., Anuar, N.B., Shiraz, M., Haque, M.N., Haque, I.T.: Cloud service selection using multicriteria decision analysis. Sci. World J. 2014 (2014)

    Google Scholar 

  17. Garg, S.K., Versteeg, S., Buyya, R.: SMICloud: a framework for comparing and ranking cloud services. In: 2011 Proceedings of the 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011, pp. 210–218 (2011)

    Google Scholar 

  18. Lee, S., Seo, K.-K.: A hybrid multi-criteria decision-making model for a cloud service selection problem using BSC, fuzzy Delphi method and fuzzy AHP. Wirel. Pers. Commun. 86, 57–75 (2016)

    Article  Google Scholar 

  19. Dyer, J.: Multiple criteria decision analysis: state of the art surveys. Int. Ser. Oper. Res. Manag. Sci. 78, 265–292 (2005)

    Google Scholar 

  20. Kitchenham, B.: Procedures for performing systematic reviews. vol. 33, p. 28. Keele University, Keele (2004)

    Google Scholar 

  21. Qu, L., Wang, Y., Orgun, M.: A: cloud service selection based on the aggregation of user feedback and quantitative performance assessment. In: 2013 IEEE International Conference on Services Computing, pp. 152–159 (2013)

    Google Scholar 

  22. Karim, R., Ding, C., Miri, A.: An end-to-end QoS mapping approach for cloud service selection. In: Proceedings of the 2013 IEEE Ninth World Congress on Services, pp. 341–348 (2013)

    Google Scholar 

  23. Wilson, B.M.R., Khazaei, B., Hirsch, L.: Towards a cloud migration decision support system for small and medium enterprises in Tamil Nadu. In: CINTI 2016 - Proceedings of the IEEE 17th International Symposium on Computational Intelligence and Informatics, pp. 341–346 (2017)

    Google Scholar 

  24. Godse, M., Mulik, S.: An approach for selecting Software-as-a-Service (SaaS) product. In: CLOUD 2009 - IEEE International Conference on Cloud Computing, pp. 155–158 (2009)

    Google Scholar 

  25. Rehman, Z.U., Hussain, O.K., Hussain, F.K.: Iaas cloud selection using MCDM methods. In: Proceedings of the 2012 IEEE Ninth International Conference on e-Business Engineering, ICEBE 2012, pp. 246–251 (2012)

    Google Scholar 

  26. Eisa, M., Younas, M., Basu, K., Zhu, H.: Trends and directions in cloud service selection. In: Proceedings - 2016 IEEE Symposium on Service-Oriented System Engineering, SOSE 2016, pp. 423–432 (2016)

    Google Scholar 

  27. Şener, U., Gökalp, E., Eren, P.Erhan: Cloud-based enterprise information systems: determinants of adoption in the context of organizations. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2016. CCIS, vol. 639, pp. 53–66. Springer, Cham (2016). doi:10.1007/978-3-319-46254-7_5

    Chapter  Google Scholar 

  28. Saaty, T.L.: The analytical hierarchy process, planning, priority. In: Resource Allocation. RWS Publications, USA (1980)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Informatics Institute, Middle East Technical University, Ankara, Turkey

    Umut Şener, Ebru Gökalp & P. Erhan Eren

Authors
  1. Umut Şener
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ebru Gökalp
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. P. Erhan Eren
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Umut Şener .

Editor information

Editors and Affiliations

  1. UPPA, LIUPPA laboratory, UFR Sciences et Techniques, Pau, France

    Congduc Pham

  2. Seoul National University, Seoul, Korea (Republic of)

    Jörn Altmann

  3. Department of Computer Science, Universidad de Zaragoza, Zaragoza, Spain

    José Ángel Bañares

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Şener, U., Gökalp, E., Eren, P.E. (2017). ClouDSS: A Decision Support System for Cloud Service Selection. In: Pham, C., Altmann, J., Bañares, J. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2017. Lecture Notes in Computer Science(), vol 10537. Springer, Cham. https://doi.org/10.1007/978-3-319-68066-8_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-68066-8_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68065-1

  • Online ISBN: 978-3-319-68066-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation