A Methodology for Decision Support for Implementation of Cloud Computing IT Services
Article Sidebar
-
software as a service, software as a product, multi-criteria decision making, costs, revenue
Abstract
The paper deals with the decision of small and medium-sized software companies in transition to SaaS model. The goal of the research is to design a comprehensive methodic to support decision making based on actual data of the company itself. Based on a careful analysis, taxonomy of costs, revenue streams and decision-making criteria are proposed in the paper. On the basis of multi-criteria decision-making methods, each alternative is evaluated and the alternative with the highest score is identified as the most appropriate. The proposed methodic is implemented as a web application and verified through case studies.
Full text article
References
Bibi, S., Katsaros, D. and Bozanis, P., 2010. Application Development: Fly to the Clouds or Stay In-house? In: Enabling Technologies: Infrastructures for Collaborative Enterprises (WETICE), 19th IEEE International Workshop, pp.60–65.
Khajeh-hosseini, A., Sommerville, I., Bogaerts, J. and Teregowda, P., 2011. Decision support tools for cloud migration in the enterprise. In: Cloud Computing (CLOUD), IEEE International Conference, pp. 541–548.
Klems, M., Nimis, J. and Tai, S., 2009. Do clouds compute? A framework for estimating the value of cloud computing. In: Designing E-Business Systems. Markets, Services, and Networks, Springer Berlin Heidelberg, pp. 110-123.
Leymann, F., Fehling, C., Mietzner, R., Nowak, A. and Dustdar, S., 2011, Moving applications to the cloud: An approach based on application model enrichment. In: International Journal of Cooperative Information Systems, Vol. 20, No. 03, pp. 307–356.
Menzel, M., Schönherr, M., Nimis, J. and Tai, S. 2011), (MC2) 2: A Generic Decision-Making Framework and its Application to Cloud Computing. In: arXiv preprint arXiv:1112.1851.
Misra, Ch. and Mondal, A, 2011. Identification of a company’s suitability for the adoption of cloud computing and modelling its corresponding Return on Investment. In: Mathematical and Computer Modelling, Vol. 53, No. 3, pp. 504–521.
Nekvasil, M., 2008. Možnosti hodnocení efektivity investic do IT. Systémová integrace, 2008. Česká spole?nost pro systémovou integraci, Praha
Ocelíková, E., 2011. Viackriteriálne rozhodovanie. Košice: Technická univerzita.
Ocelíková, E., Zolotová I. and Landryová, L., 2005. Multi-criteria decision making methods = Metódy multikriteriálneho rozhodovania. In: Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava, Ostrava: VŠB-TU, 2005, pp. 179–186.
Phillips, J.J., 1997. Return on investment. Houston, Tex.: Gulf Pub. Co.
Saripalli, P. and Pingali, G., 2011, MADMAC: Multiple Attribute Decision Methodology for Adoption of Clouds. In: Cloud Computing (CLOUD) 2011 IEEE International Conference, pp. 316–323.
Shanmugasundaram S. and Hamid, T., 2011. IBM: Guiding the cloud application decision with the IBM Cloud Transformation Advisor. [online] Available at: http://www.idgconnect.com/view_abstract/12829/guiding-cloud-application-decision-ibm-cloud-transformation-advisor [Accessed 25. Oktober 2013].
Tušanová, A. and Parali?, J., 2012. A comprehensive framework for software as a service adoption. In: proceeding of the International Conference on ICT Management for Global Competitiveness and Economic Growth in Emerging Economies, Wroclaw, Poland, 2012, pp. 347–356.
Tušanová, A. and Parali?, J., 2013. Decision support system for Software as a Service applications. In: LINDI 2013: 5th IEEE International Symposium on Logistics and Industrial Informatics Proceedings, Wildau, Germany, 2013, pp. 147–152.
York J., 2013. SaaS TCO : The Mirror Image of Total Cost of Service. [online] Available at: http://chaotic-flow.com/saas-tco-the-mirror-image-of-total-cost-of-service/?show=comments#comments [Accessed 7. September 2013].
Yoon, P. and Hwang, Ch., 1995. Multiple attribute decision making: an introduction. Newbury Park, Ca: Sage Publications, Inc.
Authors
This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access. This journal is licensed under a Creative Commons Attribution 4.0 License - http://creativecommons.org/licenses/by/4.0.
Authors who publish with the Quality Innovation Prosperity agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.