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Under what conditions can an application service firm with in-house computing benefit from cloudbursting?

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  • Chen, Li-Ming
  • Chang, Wei-Lun

Abstract

Cloudbursting, a hybrid cloud computing model, helps firms supplement their internal computing capacity from a private cloud by using external computing resources from a public cloud to meet increased demand. This paper examines whether cloudbursting benefits an application service firm that uses only its in-house capacity. Cloudbursting provides computing scalability and cost-effectiveness, but poses potential risks from data leakage when bursting into a public cloud. A private cloud reduces such risks, however, is constrained by resource limitations. We develop quantitative models under both non-competitive and competitive systems, and then determine the best choice between cloudbursting and a private cloud. Overall, we show that a profit-maximizing firm will benefit from migrating to cloudbursting if risk is considerably low and will maintain a private cloud if risk is considerably high. Interestingly, one exception occurs in a competition system whereby two competing firms access external resources as needed from the same public cloud. In this case, one firm will counterintuitively remain in a private cloud even though risk is considerably low while its competitor will migrate to cloudbursting. The numerical study conducts a sensitivity analysis to link a firm's profit performance with its best cloud choice.

Suggested Citation

  • Chen, Li-Ming & Chang, Wei-Lun, 2020. "Under what conditions can an application service firm with in-house computing benefit from cloudbursting?," European Journal of Operational Research, Elsevier, vol. 282(1), pages 71-80.
  • Handle: RePEc:eee:ejores:v:282:y:2020:i:1:p:71-80
    DOI: 10.1016/j.ejor.2018.11.016
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    as
    1. Demirkan, Haluk & Cheng, Hsing Kenneth, 2008. "The risk and information sharing of application services supply chain," European Journal of Operational Research, Elsevier, vol. 187(3), pages 765-784, June.
    2. Lee, Hwansik & Lodree Jr., Emmett J., 2010. "Modeling customer impatience in a newsboy problem with time-sensitive shortages," European Journal of Operational Research, Elsevier, vol. 205(3), pages 595-603, September.
    3. Brian Tomlin, 2009. "Impact of Supply Learning When Suppliers Are Unreliable," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 192-209, August.
    4. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    5. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2018. "Co-residence based data vulnerability vs. security in cloud computing system with random server assignment," European Journal of Operational Research, Elsevier, vol. 267(2), pages 676-686.
    6. Püschel, Tim & Schryen, Guido & Hristova, Diana & Neumann, Dirk, 2015. "Revenue management for Cloud computing providers: Decision models for service admission control under non-probabilistic uncertainty," European Journal of Operational Research, Elsevier, vol. 244(2), pages 637-647.
    7. Francisco Facchinei & Christian Kanzow, 2010. "Generalized Nash Equilibrium Problems," Annals of Operations Research, Springer, vol. 175(1), pages 177-211, March.
    8. Lodree, Emmett Jr., 2007. "Advanced supply chain planning with mixtures of backorders, lost sales, and lost contract," European Journal of Operational Research, Elsevier, vol. 181(1), pages 168-183, August.
    9. Marc Walterbusch & Benedikt Martens & Frank Teuteberg, 2013. "Evaluating cloud computing services from a total cost of ownership perspective," Management Research Review, Emerald Group Publishing Limited, vol. 36(6), pages 613-638, May.
    10. E. Cavazzuti & M. Pappalardo & M. Passacantando, 2002. "Nash Equilibria, Variational Inequalities, and Dynamical Systems," Journal of Optimization Theory and Applications, Springer, vol. 114(3), pages 491-506, September.
    11. Anselmi, Jonatha & Ardagna, Danilo & Passacantando, Mauro, 2014. "Generalized Nash equilibria for SaaS/PaaS Clouds," European Journal of Operational Research, Elsevier, vol. 236(1), pages 326-339.
    12. Yimin Wang & Wendell Gilland & Brian Tomlin, 2010. "Mitigating Supply Risk: Dual Sourcing or Process Improvement?," Manufacturing & Service Operations Management, INFORMS, vol. 12(3), pages 489-510, September.
    13. Benlian, Alexander & Hess, Thomas, 2011. "Opportunities and risks of Software-as-a-Service: Findings from a survey of IT executives," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 58025, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Bigi, Giancarlo & Castellani, Marco & Pappalardo, Massimo & Passacantando, Mauro, 2013. "Existence and solution methods for equilibria," European Journal of Operational Research, Elsevier, vol. 227(1), pages 1-11.
    15. Benedikt Martens & Frank Teuteberg, 2012. "Decision-making in cloud computing environments: A cost and risk based approach," Information Systems Frontiers, Springer, vol. 14(4), pages 871-893, September.
    16. Qin, Yan & Wang, Ruoxuan & Vakharia, Asoo J. & Chen, Yuwen & Seref, Michelle M.H., 2011. "The newsvendor problem: Review and directions for future research," European Journal of Operational Research, Elsevier, vol. 213(2), pages 361-374, September.
    17. Brian Tomlin, 2009. "Disruption‐management strategies for short life‐cycle products," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(4), pages 318-347, June.
    18. Pei-yu Chen & Shin-yi Wu, 2013. "The Impact and Implications of On-Demand Services on Market Structure," Information Systems Research, INFORMS, vol. 24(3), pages 750-767, September.
    19. Vipul Agrawal & Sridhar Seshadri, 2000. "Impact of Uncertainty and Risk Aversion on Price and Order Quantity in the Newsvendor Problem," Manufacturing & Service Operations Management, INFORMS, vol. 2(4), pages 410-423, July.
    20. Vipin, B. & Amit, R.K., 2017. "Loss aversion and rationality in the newsvendor problem under recourse option," European Journal of Operational Research, Elsevier, vol. 261(2), pages 563-571.
    21. Terrence August & Marius Florin Niculescu & Hyoduk Shin, 2014. "Cloud Implications on Software Network Structure and Security Risks," Information Systems Research, INFORMS, vol. 25(3), pages 489-510, September.
    22. Steven A. Lippman & Kevin F. McCardle, 1997. "The Competitive Newsboy," Operations Research, INFORMS, vol. 45(1), pages 54-65, February.
    23. Brito, Anderson J. & de Almeida, Adiel T., 2012. "Modeling a multi-attribute utility newsvendor with partial backlogging," European Journal of Operational Research, Elsevier, vol. 220(3), pages 820-830.
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    1. Li, Bo & Tan, Zhen & Arreola-Risa, Antonio & Huang, Yiwei, 2023. "On the improvement of uncertain cloud service capacity," International Journal of Production Economics, Elsevier, vol. 258(C).

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