Decision Support Models When Choosing Cloud-base IT-services for Enterprise Deployment

Abstract

Developing an IT-strategy of cloud deployment is a complex issue since even the stage of its formation necessitates revealing what applications will be the best possible to meet the requirements of a company business-strategy, evaluate reliability and safety of cloud providers and analyze staff satisfaction. The present paper suggests a system approach to evaluate the effectiveness and risks resulted from the integration of cloud-based services in machine-building enterprise. This approach makes it possible to estimate a set of enterprise IT applications and choose the applications to be migrated to the cloud with regard to specific business requirements, technological strategy and willingness to risk. A system of criteria as well as integrated model to assess cloud deployment effectiveness is offered.

References
[1] Maricela-Georgiana Avram (Olaru) Advantages and challenges of adopting cloud computing from an enterprise perspective // Procedia Technology 12 (2014). – p. 529-534.


[2] Latifa Ben Arfa Rabaia, Mouna Jouinia, Anis Ben Aissab, Ali Mili A cybersecurity model in cloud computing environments // Journal of King Saud University - Computer and Information Sciences. – 2013 – Vol. 25, Issue 1. – p. 63-75.


[3] Yaojun Han, Xuemei Luo Hierarchical scheduling mechanisms for multilingual information resources in cloud computing // AASRI Procedia 5 (2013). – p. 268-273.


[4] Kumar Garg S, Buyya R 2012 SLA-based admission control for a Software-as-aService provider in Cloud computing environments, Journal of Computer and System Sciences, 78 (5), pp 1280-1299.


[5] Amir Mohamed Elamir, Norleyza Jailani, Marini Abu Dakar 2013 Framework and architecture for programming education environment as cloud computing service, Procedia Technology 11 pp 1299-1308.


[6] Paul P K, Ghose M K 2012 Cloud Computing: possibilities, challenges and opportunities with special reference to its emerging need in the academic and working area of Information Science, International conference on modelling optimization and computing. Volume 38, pp 2222-2227.


[7] Marston S Li, Bandyopadhyay S, Zhang J, Ghalsasi A. 2011 Cloud computing – The business perspective, Decision Support Systems. Volume 51, Issue 1, April 2011, pp 176-189.


[8] Razumnikov, S., Kurmanbay, A. Models of evaluating efficiency and risks on integration of cloud-base IT-services of the machine-building enterprise: A system approach // IOP Conference Series: Materials Science and Engineering 124(1), 2016.


[9] Razumnikov, S., Prankevich, D. Integrated Model to Assess Cloud Deployment Effectiveness When Developing an IT-strategy // IOP Conference Series: Materials Science and Engineering 127(1), 2016.


[10] Razumnikov S.V., Kremnyova M.S. Decision support system of transition ITapplications in the cloud enviroment // 2015 International Siberian Conference on Control and Communications (SIBCON) : proceedings, Omsk, May 21-23, 2015.