Simulation Model for Cost-Benefit Analysis of Cloud Computing versus In-House Datacenters

For many organizations it is difficult to determine the total costs caused by offering own services in the cloud as well as to compare them with the costs caused by an in-house datacenter. In practice, some models exist that support organizations in analyzing costs. However, these models are mostly static and do not consider the dynamics of cost development when using cloud computing. The purpose of this paper is to design and develop a simulation model that covers such dynamic aspects and supports decision makers in analyzing cost-benefits of cloud computing versus own datacenter. The model is based on a theoretical framework for IS and applies the method of system dynamics.

[1]  Ian Sommerville,et al.  Research Challenges for Enterprise Cloud Computing , 2010, ArXiv.

[2]  Christian Belady,et al.  GREEN GRID DATA CENTER POWER EFFICIENCY METRICS: PUE AND DCIE , 2008 .

[3]  Philip Klahr,et al.  Evaluation of expert systems: issues and case studies , 1983 .

[4]  Hakan Erdogmus,et al.  Cloud Computing: Does Nirvana Hide behind the Nebula? , 2009, IEEE Softw..

[5]  Daniele Catteddu,et al.  Cloud Computing: Benefits, Risks and Recommendations for Information Security , 2009 .

[6]  Timothy Grance,et al.  Guidelines on Security and Privacy in Public Cloud Computing | NIST , 2012 .

[7]  Albert G. Greenberg,et al.  The cost of a cloud: research problems in data center networks , 2008, CCRV.

[8]  H. Krcmar,et al.  Cloud Computing: Outsourcing 2.0 oder ein neues Geschäftsmodell zur Bereitstellung von IT-Ressourcen? , 2009 .

[9]  Nikolay Borissov,et al.  Cloud Computing – A Classification, Business Models, and Research Directions , 2009, Bus. Inf. Syst. Eng..

[10]  Jim Gray,et al.  Distributed Computing Economics , 2004, ACM Queue.

[11]  Steffen Bayer,et al.  Business dynamics: Systems thinking and modeling for a complex world , 2004 .

[12]  Richard T. Watson,et al.  Analyzing the Past to Prepare for the Future: Writing a Literature Review , 2002, MIS Q..

[13]  Jay F. Nunamaker,et al.  Systems Development in Information Systems Research , 1990, J. Manag. Inf. Syst..

[14]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[15]  T. H. Tse,et al.  A Tale of Clouds: Paradigm Comparisons and Some Thoughts on Research Issues , 2008, 2008 IEEE Asia-Pacific Services Computing Conference.

[16]  J. Nilges,et al.  Strategic investment planning , 2005 .

[17]  Björn Niehaves,et al.  Reconstructing the giant: On the importance of rigour in documenting the literature search process , 2009, ECIS.

[18]  Daniele Catteddu and Giles Hogben Cloud Computing. Benefits, risks and recommendations for information security , 2009 .

[19]  Stefan Tai,et al.  Cloud Computing: Web-basierte dynamische IT-Services , 2009 .

[20]  Randy H. Katz,et al.  Above the Clouds: A Berkeley View of Cloud Computing , 2009 .

[21]  Frederick Hayes-Roth,et al.  Building expert systems , 1983, Advanced book program.