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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. Hajar Mousannif & Ismail Khalil & Gabriele Kotsis, 2013. "Collaborative learning in the clouds," Information Systems Frontiers, Springer, vol. 15(2), pages 159-165, April.
    14. Payam Hanafizadeh & Parastou Hatami & Erik Bohlin, 2019. "Business models of Internet service providers," Netnomics, Springer, vol. 20(1), pages 55-99, April.
    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. 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.
    17. 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.
    18. 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.
    19. Victor Chang, 2020. "Presenting Cloud Business Performance for Manufacturing Organizations," Information Systems Frontiers, Springer, vol. 22(1), pages 59-75, February.

    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. 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.
    2. 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.
    3. 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.
    4. 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".
    5. 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.
    6. Chen, Bo & Zhang, Xiandong, 2019. "Scheduling with time-of-use costs," European Journal of Operational Research, Elsevier, vol. 274(3), pages 900-908.
    7. Irene Ng & Nick K.T. Yip, 2009. "Mechanism design in an integrated approach towards revenue management: the case of Empress Cruise Lines," The Service Industries Journal, Taylor & Francis Journals, vol. 31(3), pages 469-482, February.
    8. Chua, Geoffrey A. & Lim, Wei Shi & Yeo, Wee Meng, 2016. "Market structure and the value of overselling under stochastic demands," European Journal of Operational Research, Elsevier, vol. 252(3), pages 900-909.
    9. Lingxiu Dong & Panos Kouvelis & Zhongjun Tian, 2009. "Dynamic Pricing and Inventory Control of Substitute Products," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 317-339, December.
    10. Selcuk, Cemil & Gokpinar, Bilal, 2017. "Fixed vs. Flexible Pricing in a Competitive Market," Cardiff Economics Working Papers E2017/9, Cardiff University, Cardiff Business School, Economics Section.
    11. J. B. G. Frenk & Canan Pehlivan & Semih O. Sezer, 2019. "Order and exit decisions under non-increasing price curves for products with short life cycles," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 90(3), pages 365-397, December.
    12. Mingyu Joo & Dinesh K. Gauri & Kenneth C. Wilbur, 2020. "Temporal Distance and Price Responsiveness: Empirical Investigation of the Cruise Industry," Management Science, INFORMS, vol. 66(11), pages 5362-5388, November.
    13. Alex Gershkov & Benny Moldovanu, 2009. "Dynamic Revenue Maximization with Heterogeneous Objects: A Mechanism Design Approach," American Economic Journal: Microeconomics, American Economic Association, vol. 1(2), pages 168-198, August.
    14. Jin Qin & Wenxuan Qu & Xuanke Wu & Yijia Zeng, 2019. "Differential Pricing Strategies of High Speed Railway Based on Prospect Theory: An Empirical Study from China," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    15. Christian Borgs & Ozan Candogan & Jennifer Chayes & Ilan Lobel & Hamid Nazerzadeh, 2014. "Optimal Multiperiod Pricing with Service Guarantees," Management Science, INFORMS, vol. 60(7), pages 1792-1811, July.
    16. Athanassios N. Avramidis & Arnoud V. Boer, 2021. "Dynamic pricing with finite price sets: a non-parametric approach," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 94(1), pages 1-34, August.
    17. Tsai, Wen-Hsien & Hung, Shih-Jieh, 2009. "Dynamic pricing and revenue management process in Internet retailing under uncertainty: An integrated real options approach," Omega, Elsevier, vol. 37(2), pages 471-481, April.
    18. Longyuan Du & Ming Hu & Jiahua Wu, 2022. "Contingent stimulus in crowdfunding," Production and Operations Management, Production and Operations Management Society, vol. 31(9), pages 3543-3558, September.
    19. Helmes, Kurt L. & Schlosser, Rainer, 2013. "Dynamic advertising and pricing with constant demand elasticities," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2814-2832.
    20. Viktoryia Buhayenko & Dick den Hertog, 2017. "Adjustable Robust Optimisation approach to optimise discounts for multi-period supply chain coordination under demand uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6801-6823, November.

    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.