Pricing strategy for cloud computing: A damaged services perspective

How effective is a hybrid pricing strategy for a cloud computing services vendor that mixes fixed-price reserved services with spot-price on-demand services? This research offers a decision support model to create the appropriate strategy for IT services based on prior research on information goods, electricity pricing, product versioning, and revenue yield management. The goal is to establish whether interruptible spot-price on-demand cloud computing services - which we view as damaged services - are valuable to the vendor. The results from the analysis of an economic model show that a hybrid strategy outperforms a one-service-only strategy in most cases, especially when clients are sensitive to services interruptions or when task values are highly differentiated. A more intriguing finding is that a vendor should permit the possibility of services interruptions even when clients are highly sensitive to their occurrence. The presence of interruptions serves as a quality differentiator between the on-demand services and reserved services, assuring the efficacy of the hybrid strategy. Moreover, a vendor may use capacity limit, in the hybrid strategy, as a tool to further improve its profit. To our knowledge, this research is the first to propose the damaged services perspective as an analogy for damaged goods in the cloud software market. A hybrid strategy is shown to outperform a one-service-only strategy in most cases.A hybrid strategy performs well especially when clients are sensitive to services interruptions or when task values are highly differentiated.The presence of interruptions serves as a quality differentiator between the two types of services offered by the vendor, assuring the efficacy of the hybrid strategy.The presence of interruptions also provides the vendor with resource reallocation flexibility.If the vendor introduces a capacity limit in its contract, clients need to adopt a dynamic-threshold submission strategy to reserve limited computing resources for future high-value jobs.The vendor is able to use the capacity limit as a tool, together with the hybrid strategy, to improve its profit.

[1]  J. Dana,et al.  Using Yield Management to Shift Demand When the Peak Time is Unknown , 1999 .

[2]  Walter J. Relihan The Yield-Management Approach to Hotel-Room Pricing , 1989 .

[3]  Peter Buxmann,et al.  Pricing Strategies of Software Vendors , 2009, Bus. Inf. Syst. Eng..

[4]  M. Pesaran,et al.  Long Run Macroeconomic Relations in the Global Economy , 2007, SSRN Electronic Journal.

[5]  Peter C. Fishburn,et al.  Fixed fee versus unit pricing for information goods: competition, equilibria, and price wars , 1997, First Monday.

[6]  Srinivasan Raghunathan Software Editions: An Application of Segmentation Theory to the Packaged Software Market , 2000, J. Manag. Inf. Syst..

[7]  Jörn Altmann,et al.  A pricing information service for grid computing , 2007, MGC '07.

[8]  B. Melamed,et al.  Traffic modeling for telecommunications networks , 1994, IEEE Communications Magazine.

[9]  E. Andrew Boyd,et al.  Revenue Management and E-Commerce , 2003, Manag. Sci..

[10]  Garrett J. van Ryzin,et al.  A Multiproduct Dynamic Pricing Problem and Its Applications to Network Yield Management , 1997, Oper. Res..

[11]  H. Varian,et al.  Versioning Information Goods , 2000 .

[12]  H. Demirkan,et al.  Pricing Strategies for Information Technology Services: A Value-Based Approach , 2009 .

[13]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[14]  Imtiaz Ahmad,et al.  Cloud Computing Pricing Models: A Survey , 2013 .

[15]  Chu-Fen Li,et al.  Cloud Computing System Management Under Flat Rate Pricing , 2011, Journal of Network and Systems Management.

[16]  P. Steiner Peak Loads and Efficient Pricing , 1957 .

[17]  George W. Wilson The Theory of Peak-Load Pricing: A Final Note , 1972 .

[18]  Arto Ojala,et al.  Cloud Services Pricing Models , 2013, ICSOB.

[19]  Venkataraghavan Krishnaswamy,et al.  Decisions, Models and Opportunities in Cloud Computing Economics: A Review of Research on Pricing and Markets , 2013, ASSRI.

[20]  Pnina Feldman,et al.  Pricing Services Subject to Congestion: Charge Per-Use Fees or Sell Subscriptions? , 2011, Manuf. Serv. Oper. Manag..

[21]  Elizabeth Louise Williamson,et al.  Airline network seat inventory control : methodologies and revenue impacts , 1992 .

[22]  Se-Hak Chun,et al.  Service models and pricing schemes for cloud computing , 2013, Cluster Computing.

[23]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Autonomic Metered Pricing for a Utility Computing Service , 2022 .

[24]  Bruno Sinopoli,et al.  A cyber-physical systems approach to energy management in data centers , 2010, ICCPS '10.

[25]  Frank Linde,et al.  Pricing information goods , 2009 .

[26]  I. Png,et al.  Market segmentation, cannibalization, and the timing of product introductions , 1992 .

[27]  Michael Z. F. Li Pricing perishable inventories by using marketing restrictions with applications to airlines , 1994 .

[28]  R. Preston McAfee,et al.  Pricing Damaged Goods , 2007 .

[29]  Xiaorong Li,et al.  Design and Implementation of a Multimedia Personalized Service Over Large Scale Networks , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[30]  Jeffrey I. McGill,et al.  Revenue Management: Research Overview and Prospects , 1999, Transp. Sci..

[31]  A. Odlyzko,et al.  Competitive pricing of information goods: Subscription pricing versus pay-per-use , 1999 .

[32]  M. Boiteux Peak-Load Pricing , 1960 .

[33]  Se-Hak Chun,et al.  The Comparison of Pricing Schemes for Cloud Services , 2014, FCC.

[34]  Michael Muskulus,et al.  Modeling Job Arrivals in a Data-Intensive Grid , 2006, JSSPP.

[35]  J. Tirole The Theory of Industrial Organization , 1988 .

[36]  Ian Lumb,et al.  A Taxonomy and Survey of Cloud Computing Systems , 2009, 2009 Fifth International Joint Conference on INC, IMS and IDC.

[37]  Franck Cappello,et al.  Cost-benefit analysis of Cloud Computing versus desktop grids , 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

[38]  Rajiv D. Banker,et al.  Best Pricing Strategy for Information Services , 2010, J. Assoc. Inf. Syst..

[39]  Arun Sundararajan,et al.  Nonlinear Pricing of Information Goods , 2002, Manag. Sci..

[40]  Padmanabhan Srinagesh,et al.  QUALITY DISTORSION BY A DISCRIMINATING MONOPOLIST , 1988 .