Survey on the Priority Factors Influencing IT Outsourcing in the Platform of Cloud Computing in Semnan Province Universities by Fuzzy DEMATEL Technique

Document Type: Research Paper

Authors

1 MSc. Student, Department of Information Technology, Electronic Branch, Islamic Azad University, Tehran, Iran.

2 Assistant Prof., Faculty of Industrial Engineering and Management, Shahrood University, Shahrood, Iran

3 Instructor, Faculty of Computer Engineering and IT, Shahrood University, Shahrood, Iran

Abstract

Today, Information Technology Outsourcing (ITO) has developed and caused organizations to become more flexible and dynamic than they were before. The ever-increasing development of ICT is one of the main reasons for the promotion of outsourcing. That is due to the fact that many organizations are not able to adapt their hardware and software in accordance with the fast-paced technology development. Cloud Computing is considered as one of newest paradigms in ITO. Due to its flexible nature, this paradigm has been able to protect organizations against extreme changes of IT during recent years. Furthermore, by better understanding their needs and prioritizing them, organizations can experience a more successful outsourcing in the context of Cloud Computing. SMI can be a considerable help in identifying organization’s needs to use Cloud Computing. This article suggests that organizations use Fuzzy DEMATEL Technique to prioritize their needs. In this research which is conducted as a case study, all the universities in Semnan Province are examined. The results show that the most important criteria for outsourcing in the context of Cloud Computing are Compliance, Operability and Contracting Experience respectively. Moreover, the model has identified Security Management, Ownership and Contracting Experience as the most effective criteria and Learnability, Maintainability and Recoverability as the most affected one.

Keywords

Main Subjects


Agha Ebrahimi Samani, B., Makooii, A., Sadr Lahiji, M. & Homayon, V. (2008), Assessment challenges of Iranian companies in oil and gas projects by DEMATEL Technique. Sharif Science and Research Journal. 24(45): 121-129.

Böhm, M., Leimeister, S., Riedl, C. & Krcmar, H. (2011). Cloud computing–outsourcing 2.0 or a new business model for IT provisioning? In Keuper, F. Oecking, C. & Degenhardt, A. (eds.) Application Management, Springer Gabler, Wiesbaden, Germany. 31-56.

Chang, C.W., Liu, P. & Wu, J.J. (2012). Probability-based Cloud storage providers selection algorithms with maximum availability. In: Proceedings of the international conference on parallel processing (ICPP). 10-13 September. Pittsburgh, PA.

Chen, C., Yan, S., Zhao, G., Lee, B.S. & Singhal, S. (2012). A systematic framework enabling automatic conflict detection and explanation in Cloud service selection for enterprises. In: Proceedings of the IEEE 5th international conference on Cloud computing (CLOUD). June 24-29, Honolulu, HI.

Costa, P., Carlos Lourenço, J. & Mira da Silva, M. (2013). Evaluating Cloud Services Using a Multiple Criteria Decision Analysis Approach. in Basu, S. Pautasso, C. Zhang, L. Fu, X. (eds.) Service-Oriented Computing, Springer, Berlin Heidelberg: 456-464.

Dastjerdi, A.V., Tabatabaei, S.GH. & Buyya, R. (2010). An effective architecture for automated appliance management system applying ontology-based Cloud discovery. In: Proceedings of the 10th IEEE/ACM international conference on cluster, Cloud and grid computing (CCGrid). May 17-20, Melbourne, Australia.

Garfinkel, S. (2011). The Cloud Imperative. Retrieved from http://www. technologyreview.com/news/425623/the-Cloud-imperative.

Garg, S.K., Versteeg, S. & Buyya, R. (2011). SMICloud: A Framework for Comparing and Ranking Cloud Services. Fourth IEEE International Conference on Utility and Cloud Computing. December 5-7, Melbourne, Australia.

Godse, M. & Mulik. S. (2009). An approach for selecting software-as-a-service (SaaS) product. In: Proceedings of the IEEE international conference on Cloud computing (CLOUD). September 21-25, Bangalore.

He, Q., Han, J., Yang, Y., Grundy, J. & Jin, H. (2012). QoS-driven service selection for multi-tenant SaaS. In: Proceedings of the IEEE 5th international conference on Cloud computing (CLOUD). June 24-29, Honolulu, HI.

Hormozi, A., Hostetler, E. & Middleton, C. (2003). Outsourcing Information Technology: Assessing Your Options. SAM Advanced Management Journal, 68 (4): 18-23.

Hsieh, T.Y., Lu, S.T. & Tzeng, G.H. (2004). Fuzzy MCDM approach for planning and design tenders selection in public office buildings. International Journal of Project Management, 22(7): 573-584.

Hussey, D. & Jenster, P. (2003). Outsourcing: the supplier viewpoint. Strategic Change, 12 (1): 7-20.

Jenster, P. V. & Pedersen, H. S. (2000). Outsourcing-facts and fiction. Strategic Change, 9 (3): 147-154.

Jung, G., Mukherjee, T., Kunde, S., Kim, H., Sharma, N. & Goetz, F. (2013). Cloud Advisor :a recommendation-as-a-service platform for Cloud configuration and pricing. In: Proceedings of the IEEE ninth world congress on service (SERVICES). Santa Clara, CA.

Kanagasabai, R. (2012). OWL-S based semantic Cloud service broker. In: Proceedings of the IEEE 19th international conference on web services (ICWS). June 24-29, Honolulu, HI.

Karim, R., Ding, C. & Miri, A. (2013). An end-to-end QoS mapping approach for Cloud service selection. In: Proceedings of the IEEE 9th world congress on services (SER- VICES). June 27-July 2, Santa Clara Marriott, CA.

Klepper, R. & Jones, W.O. (1998). Outsourcing information technology systems and services. Prentice-Hall,Englewood cliffs, NJ.

Lacity, M. C., Khan, S. A. & Willcocks, L. P. (2009). A review of the IT outsourcing literature: Insights for practice. Journal of Strategic Information Systems, 18 (3): 130–146.

Limam, N. & Boutaba, R. (2010). Assessing software service quality and trustworthiness at selection time. IEEE TransactionsSoftware Engineering. 36 (4): 559–74.

Martens, B. & Teuteberg, F. (2012). Decision-making in Cloud computing environments: a cost and risk based approach. Journal of Strategic Information Systems, 14 (4): 871–93.

Martens, B., Teuteberg, F. & Gräuler, M. (2011). Design and implementation of a community platform for the evaluation and selection of Cloud computing services: a market analysis. In: ECIS2011proceedings.

Mell, P. & Grance, T. (2009). The NIST Definition of Cloud Computing. Retrieved 23 November, 2014, from http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf.

Menzel, M., Schönherr, M. & Tai, S. (2013). (MC2)2: criteria , requirements and a software prototype for Cloud infrastructure decisions. Software: Practice and Expereince, 43 (11): 1283–1297.

Pfannenstein, L.L. & Tsai, R. J. (2004). Offshore outsourcing: Current and future effects on American IT industry. ISM Journal, 21 (4): 72-80.

Quinton, C., Romero, D. & Duchien, L. (2014). Automated selection and configuration of Cloud environments using software product lines principles. In: Proceedings of the 7th IEEE international conference on Cloud computing (CLOUD). June 27-July 2, Alaska.

Saripalli, P. & Pingali, G. (2011). MADMAC: multiple attribute decision methodology for adoption of Clouds. In: Proceedings of the IEEE international conference on Cloud computing (CLOUD). July 4-9, Washington, DC.

Siegel, J. & Perdue, J. (2012). Cloud Services Measurement Global Use: The Service Measurement Index (SMI). Proceeding of the SRII Global Conference (SRII), 2012 Annual, 24-27 July, San Jose, CA, USA, 411-415.

Silas, S., Rajsingh, EB. & Ezra, K. (2012). Efficient service selection middleware using ELECTRE methodology for Cloud environments. Information Technology Journal, 11(7): 868–75.

Sun, L., Dong, H., Khadeer Hussain, F., Khadeer Hussain, O., Chang, E. (2014). Cloud service selection: State-of-the-art and future research directions. Journal of Network and Computer Application, 45:134-150.

Sundareswaran, S., Squicciarini, A. & Lin, D. (2012). A brokerage-based approach for Cloud service selection. In: Proceedings of the IEEE 5th international conference on Cloud computing (CLOUD). Honolulu, HI.

Tsaur, S.H., Chang, T.Y. & Yen, C.H. (2002). The evaluation of airline service quality by fuzzy MCDM. Tourism Management, 23(2): 107-115.

Wittern, E., Kuhlenkamp, J. & Menzel, M. (2012). Cloud service selection based on variability modeling. In: Proceedings of the 10th international conference on service- oriented computing (ICSOC), November 12-15, Shanghai, China.

Yang, J., Lin,W. & Dou,W. (2013). An adaptive service selection method for cross-Cloud service composition. Concurrency and Computation: Practice and Experience, 25(18): 2435–2454.

Ye, Z., Bouguettaya, A. & Zhou, X. (2012). QoS-aware Cloud service composition based on economic models. In: Proceedings of the 10th international conference on service- oriented computing (ICSOC), November 12-15, Shanghai, China.

Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8: 338-353.

Zeng, W., Zhao, Y. & Zeng, J. (2009). Cloud service and service selection algorithm research. In: Proceedings of the first ACM/SIGEVO summit on genetic and evolutionary computation (ACMSIGEVO). Shanghai, China.

Zhao, L., Ren, Y., Li, M. & Sakurai, K. (2012). Flexible service selection with user-specific QoS support in service-oriented architecture. Journal of Network and Computer Applications, 35 (3): 962–973.

Zheng, Z., Wu, X., Zhang, Y., Lyu, M. & Wang, J. (2013). QoS ranking prediction for Cloud services. IEEE Transactions on Parallel and Distributed Systems (TPDS)24(99): 1213–1222.