IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v1y2009i5p391-399.html
   My bibliography  Save this article

Cloud Computing – A Classification, Business Models, and Research Directions

Author

Listed:
  • Christof Weinhardt
  • Arun Anandasivam
  • Benjamin Blau
  • Nikolay Borissov
  • Thomas Meinl
  • Wibke Michalk
  • Jochen Stößer

Abstract

Lately, a new computing paradigm has emerged: “Cloud Computing”. It seems to be promoted as heavily as the “Grid” was a few years ago, causing broad discussions on the differences between Grid and Cloud Computing. The first contribution of this paper is thus a detailed discussion about the different characteristics of Grid Computing and Cloud Computing. This technical classification allows for a well-founded discussion of the business opportunities of the Cloud Computing paradigm. To this end, this paper first presents a business model framework for Clouds. It subsequently reviews and classifies current Cloud offerings in the light of this framework. Finally, this paper discusses challenges that have to be mastered in order to make the Cloud vision come true and points to promising areas for future research. Copyright Gabler Verlag 2009

Suggested Citation

  • Christof Weinhardt & Arun Anandasivam & Benjamin Blau & Nikolay Borissov & Thomas Meinl & Wibke Michalk & Jochen Stößer, 2009. "Cloud Computing – A Classification, Business Models, and Research Directions," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(5), pages 391-399, October.
  • Handle: RePEc:spr:binfse:v:1:y:2009:i:5:p:391-399
    DOI: 10.1007/s12599-009-0071-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s12599-009-0071-2
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s12599-009-0071-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Peter C. Fishburn & Andrew M. Odlyzko, 1999. "Competitive pricing of information goods: Subscription pricing versus pay-per-use," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 13(2), pages 447-470.
    2. Gabriel Bitran & René Caldentey, 2003. "An Overview of Pricing Models for Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 5(3), pages 203-229, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiang Yu & Yue Zhang, 2013. "Institutional Arrangement, Technological Innovation and Application Evolution: The Rise of China’S Emerging Computing Infrastructure," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.
    2. Fraccascia, Luca, 2020. "Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study," Ecological Economics, Elsevier, vol. 170(C).
    3. Wil M. P. Aalst & Jörg Becker & Martin Bichler & Hans Ulrich Buhl & Jens Dibbern & Ulrich Frank & Ulrich Hasenkamp & Armin Heinzl & Oliver Hinz & Kai-Lung Hui & Matthias Jarke & Dimitris Karagiannis &, 2018. "Views on the Past, Present, and Future of Business and Information Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(6), pages 443-477, December.
    4. Christian Matt, 2018. "Fog Computing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(4), pages 351-355, August.
    5. Hajar Mousannif & Ismail Khalil & Gabriele Kotsis, 2013. "Collaborative learning in the clouds," Information Systems Frontiers, Springer, vol. 15(2), pages 159-165, April.
    6. Raut, Rakesh D. & Priyadarshinee, Pragati & Gardas, Bhaskar B. & Jha, Manoj Kumar, 2018. "Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 98-123.
    7. Stine Labes & Nicolai Hanner & Ruediger Zarnekow, 2017. "Successful Business Model Types of Cloud Providers," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(4), pages 223-233, August.
    8. Payam Hanafizadeh & Parastou Hatami & Erik Bohlin, 2019. "Business models of Internet service providers," Netnomics, Springer, vol. 20(1), pages 55-99, April.
    9. Sommarberg, Matti & Mäkinen, Saku J., 2019. "A method for anticipating the disruptive nature of digitalization in the machine-building industry," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 808-819.
    10. Kumar, Harish & Singh, Manoj Kumar & Gupta, M.P. & Madaan, Jitendra, 2020. "Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    11. Jasmien Lismont & Tine Van Calster & María Óskarsdóttir & Seppe vanden Broucke & Bart Baesens & Wilfried Lemahieu & Jan Vanthienen, 2019. "Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(6), pages 679-693, December.
    12. Victor Chang, 2020. "Presenting Cloud Business Performance for Manufacturing Organizations," Information Systems Frontiers, Springer, vol. 22(1), pages 59-75, February.
    13. Scholz, Roland W. & Czichos, Reiner & Parycek, Peter & Lampoltshammer, Thomas J., 2020. "Organizational vulnerability of digital threats: A first validation of an assessment method," European Journal of Operational Research, Elsevier, vol. 282(2), pages 627-643.
    14. Severin Oesterle & Jan Jöhnk & Robert Keller & Nils Urbach & Xin Yu, 2020. "A contingency lens on cloud provider management processes," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1451-1489, November.
    15. Sebastian Lins & Konstantin D. Pandl & Heiner Teigeler & Scott Thiebes & Calvin Bayer & Ali Sunyaev, 2021. "Artificial Intelligence as a Service," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 441-456, August.
    16. In Lee, 2019. "Pricing schemes and profit-maximizing pricing for cloud services," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 112-122, April.
    17. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    18. 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.
    19. Shrutika Mishra & A. R. Tripathi, 2020. "Literature review on business prototypes for digital platform," Journal of Innovation and Entrepreneurship, Springer, vol. 9(1), pages 1-19, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Victor F. Araman & Bassam Fayad, 2021. "Intertemporal Price Discrimination with Time-Varying Valuations," Operations Research, INFORMS, vol. 69(1), pages 245-265, January.
    2. Vincent Mak & Amnon Rapoport & Eyran J. Gisches & Jiaojie Han, 2014. "Purchasing Scarce Products Under Dynamic Pricing: An Experimental Investigation," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 425-438, July.
    3. Tang, Christopher S., 2010. "A review of marketing-operations interface models: From co-existence to coordination and collaboration," International Journal of Production Economics, Elsevier, vol. 125(1), pages 22-40, May.
    4. Benny Mantin & Daniel Granot & Frieda Granot, 2011. "Dynamic pricing under first order Markovian competition," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(6), pages 608-617, September.
    5. Schulte, Benedikt & Sachs, Anna-Lena, 2020. "The price-setting newsvendor with Poisson demand," European Journal of Operational Research, Elsevier, vol. 283(1), pages 125-137.
    6. Kyparisis, George J. & Koulamas, Christos, 2018. "Optimal pricing and seat allocation for a two-cabin airline revenue management problem," International Journal of Production Economics, Elsevier, vol. 201(C), pages 18-25.
    7. Dasci, A. & Karakul, M., 2009. "Two-period dynamic versus fixed-ratio pricing in a capacity constrained duopoly," European Journal of Operational Research, Elsevier, vol. 197(3), pages 945-968, September.
    8. Alessandro Avenali & Yuri Maria Chianese & Graziano Ciucciarelli & Giorgio Grani & Laura Palagi, 2019. "Profit optimization in one-way free float car sharing services: a user based relocation strategy relying on price differentiation and Urban Area Values," DIAG Technical Reports 2019-04, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    9. Yiwei Chen & Vivek F. Farias, 2013. "Simple Policies for Dynamic Pricing with Imperfect Forecasts," Operations Research, INFORMS, vol. 61(3), pages 612-624, June.
    10. Vincent Mak & Amnon Rapoport & Eyran J. Gisches, 2018. "Dynamic Pricing Decisions and Seller-Buyer Interactions under Capacity Constraints," Games, MDPI, vol. 9(1), pages 1-23, February.
    11. Ünsal Özdilek, 2019. "Scientific basis of value and valuation," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(3), pages 266-277, June.
    12. Yuri Levin & Jeff McGill & Mikhail Nediak, 2008. "Risk in Revenue Management and Dynamic Pricing," Operations Research, INFORMS, vol. 56(2), pages 326-343, April.
    13. Adam J. Mersereau & Dan Zhang, 2012. "Markdown Pricing with Unknown Fraction of Strategic Customers," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 355-370, July.
    14. Talebian, Masoud & Boland, Natashia & Savelsbergh, Martin, 2014. "Pricing to accelerate demand learning in dynamic assortment planning for perishable products," European Journal of Operational Research, Elsevier, vol. 237(2), pages 555-565.
    15. Yongbo Xiao & Jian Chen, 2014. "Evaluating the potential effects from probabilistic selling of similar products," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(8), pages 604-620, December.
    16. Yan Liu & Ningyuan Chen, 2022. "Dynamic Pricing with Money‐Back Guarantees," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 941-962, March.
    17. Sabri Çelik & Alp Muharremoglu & Sergei Savin, 2009. "Revenue Management with Costly Price Adjustments," Operations Research, INFORMS, vol. 57(5), pages 1206-1219, October.
    18. Yongbo Xiao, 2018. "Dynamic pricing and replenishment: Optimality, bounds, and asymptotics," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(1), pages 3-25, February.
    19. Yalç{i}n Akçay & Harihara Prasad Natarajan & Susan H. Xu, 2010. "Joint Dynamic Pricing of Multiple Perishable Products Under Consumer Choice," Management Science, INFORMS, vol. 56(8), pages 1345-1361, August.
    20. René Caldentey & Gustavo Vulcano, 2007. "Online Auction and List Price Revenue Management," Management Science, INFORMS, vol. 53(5), pages 795-813, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:binfse:v:1:y:2009:i:5:p:391-399. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.