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An artificial intelligence based approach for managing risk of IT systems in adopting cloud

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Abstract

Cloud computing, due to its many advantages like pay per use, elasticity of use, scalability, resource sharing etc. has led the companies already using on premise IT systems to adopt cloud. But as with any other technology, cloud computing has its own share of risks and issues which can lead to disastrous situation without proper risk aware and risk managed cloud adoption. Also as adopting cloud results in outsourcing data and processes to an agency called as cloud service provider selection of proper service provider, clear contractual statement called Service Level Agreement, cloud awareness becomes most important. The authors propose a framework for managing risk in cloud adoption. The framework uses Fuzzy Inference System for service provider ranking.

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References

  1. Kim W (2009) Cloud computing: today and tomorrow. J Object Technol 8(1):65–72

    Article  Google Scholar 

  2. Mojtaba A (2012) Cloud computing adoption for SMEs: challenges, barriers and outcomes. A dissertation submitted in partial fulfilment of the requirements of Dublin Institute of Technology for the degree of M.Sc. in Computing (Information Technology)

  3. Mell P, Grance T (2011) The NIST definition of cloud computing, National Institute of Standards and Technology, Spec. Pub, pp 800–145

  4. National lnstitute of Standards and Technology (NIST) (2002) Risk management for information technology systems

  5. Tan KS, Chong SC, Lin B, Eze UC (2009) Internet-based ICT adoption: evidence from Malaysian SMEs. Ind Manage Data Syst 109(2):224–244

    Article  Google Scholar 

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

    Article  Google Scholar 

  7. Zhang Q, Cheng L, Boutaba R (2010) Cloud computing: state-of-the-art and research challenges. J Internet Serv Appl 1:7–18

    Article  Google Scholar 

  8. Subashini S, Kavitha V (2010) A survey on security issues in service delivery models of cloud computing. Netw Comput Appl 34:1–11

    Google Scholar 

  9. Chorafas DN (2011) Wealth management: private banking, investment decisions, and structured financial products. Elsevier, Butterworth-Heinemann

    Google Scholar 

  10. Repschlaeger J, Wind S, Zarnekow R, Turowski K (2012) Selection criteria for software as a service: an explorative analysis of provider requirements. In: American conference on information systems, Seattle, Washington, 2012

  11. Gens F (2008) Defining “Cloud Services” and “Cloud Computing”,  IDC Exchange blog. http://blogs.idc.com/ie/?p=190. Accessed April 2014

  12. Altmann J, Ion M, Bany Mohammed A (2007) Taxonomy of grid business models. Grid Econ Business Models. Springer, Berlin, pp 29–43

    Book  Google Scholar 

  13. Institute of Risk Management, National Forum for Risk Management in the Public Sector, Association of Insurance and Risk Managers (2002) A risk management standard, published jointly. IRM/ALARM/AIRMIC, London

    Google Scholar 

  14. Lin G, David Fu, Jinzy Z, Dasmalchi G (2009) Cloud computing: IT as a service. IEEE IT Prof 12(5):36–41

    Google Scholar 

  15. Wu L, Buyya R (2000) Service level agreement (SLA) in utility computing systems. In: Pedersen K, Emblemsvåg J, Bailey R, Allen JK, Mistree F. Validating design methods and research: the validation square. Proceedings of DETC’00, 2000 ASME design engineering technical conferences, September 10–14. Baltimore, Maryland

  16. https://cedric.cnam.fr/fichiers/art_3208.pdf. Accessed November 2017

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Authors and Affiliations

  1. School of Engineering and Technology, Ansal University, Gurgaon, Haryana, India

    Shikha Gupta

  2. University School of Management Studies, GGS Indraprastha University, New Delhi, India

    A. K. Saini

Authors
  1. Shikha Gupta
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  2. A. K. Saini
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Correspondence to Shikha Gupta.

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Gupta, S., Saini, A.K. An artificial intelligence based approach for managing risk of IT systems in adopting cloud. Int. j. inf. tecnol. 13, 2515–2523 (2021). https://doi.org/10.1007/s41870-018-0204-2

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  • DOI: https://doi.org/10.1007/s41870-018-0204-2

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