IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v28y2018i1d10.1007_s12525-018-0284-7.html
   My bibliography  Save this article

Cloud providers viability

Author

Listed:
  • Cesare Bartolini

    (Université du Luxembourg)

  • Donia El Kateb

    (LuxTrust)

  • Yves Le Traon

    (Université du Luxembourg)

  • David Hagen

    (Commission de Surveillance du Secteur Financier (CSSF))

Abstract

A major part of the commercial Internet is moving toward the cloud paradigm. This phenomenon has a drastic impact on the organizational structures of enterprizes and introduces new challenges that must be properly addressed to avoid major setbacks. One such challenge is that of cloud provider viability, that is, the reasonable certainty that the Cloud Service Provider (CSP) will not go out of business, either by filing for bankruptcy or by simply shutting down operations, thus leaving its customers stranded without an infrastructure and, depending on the type of cloud service used, even without their applications or data. This article attempts to address the issue of cloud provider viability, defining a possible way of modeling viability as a non-functional requirement and proposing some approaches that can be used to mitigate the problem, both from a technical and from a legal perspective. By introducing a structured perspective into the topic of cloud viability, describing the risks, factors and possible mitigators, the contribution of this work is twofold: it gives the customer a better understanding to determine when it can rely on the cloud infrastructure on the long term and what precautions it should take in any case, and provides the CSP with means to address some of the viability issues and thus increase its customers’ trust.

Suggested Citation

  • Cesare Bartolini & Donia El Kateb & Yves Le Traon & David Hagen, 2018. "Cloud providers viability," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(1), pages 53-75, February.
  • Handle: RePEc:spr:elmark:v:28:y:2018:i:1:d:10.1007_s12525-018-0284-7
    DOI: 10.1007/s12525-018-0284-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-018-0284-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12525-018-0284-7?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. Scott, James, 1981. "The probability of bankruptcy: A comparison of empirical predictions and theoretical models," Journal of Banking & Finance, Elsevier, vol. 5(3), pages 317-344, September.
    2. Tassey, Gregory, 2000. "Standardization in technology-based markets," Research Policy, Elsevier, vol. 29(4-5), pages 587-602, April.
    3. Michael Maurera & Vincent C. Emeakarohaa & Ivona Brandica & Jorn Altmann, 2011. "Cost–Benefit Analysis of an SLA Mapping Approach for Defining Standardized Cloud Computing Goods," TEMEP Discussion Papers 201177, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jul 2011.
    4. Keith Jeferry & George Kousiouris & Dimosthenis Kyriazis & Jörn Altmann & Augusto Ciuffoletti & Ilias Maglogiannis & Paolo Nesi & Bojan Suzic & Zhiming Zhao, 2015. "Challenges Emerging from Future Cloud Application Scenarios," TEMEP Discussion Papers 2015126, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2015.
    5. Selam Abrham Gebregiorgis & Jorn Altmann, 2012. "IT Service Platforms: Their Value Creation Model and the Impact of their Level of Openness on their Adoption," TEMEP Discussion Papers 201295, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jun 2012.
    6. repec:bla:jfinan:v:53:y:1998:i:3:p:1131-1147 is not listed on IDEAS
    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. José Ángel Bañares & Jörn Altmann, 2018. "Economics behind ICT infrastructure management," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(1), pages 7-9, 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. Maurice Peat, 2007. "Factors Affecting the Probability of Bankruptcy: A Managerial Decision Based Approach," Abacus, Accounting Foundation, University of Sydney, vol. 43(3), pages 303-324, September.
    2. Christoph March & Ina Schieferdecker, 2021. "Technological Sovereignty as Ability, Not Autarky," CESifo Working Paper Series 9139, CESifo.
    3. F. Tao & Y. Cheng & L. Zhang & A. Y. C. Nee, 2017. "Advanced manufacturing systems: socialization characteristics and trends," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1079-1094, June.
    4. Xie, Zongjie & Hall, Jeremy & McCarthy, Ian P. & Skitmore, Martin & Shen, Liyin, 2016. "Standardization efforts: The relationship between knowledge dimensions, search processes and innovation outcomes," Technovation, Elsevier, vol. 48, pages 69-78.
    5. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    6. Casado Yusta, Silvia & Nœ–ez Letamendía, Laura & Pacheco Bonrostro, Joaqu’n Antonio, 2018. "Predicting Corporate Failure: The GRASP-LOGIT Model || Predicci—n de la quiebra empresarial: el modelo GRASP-LOGIT," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 26(1), pages 294-314, Diciembre.
    7. Udochukwu Godfrey Ogbonna & Chukwu Agwu Ejem, 2020. "Dynamic Modeling of Market Value and Capital Structure in Nigerian Firms," International Journal of Economics and Financial Issues, Econjournals, vol. 10(1), pages 1-5.
    8. Jussi Heikkilä & Timo Ali-Vehmas & Julius Rissanen, 2021. "The Link Between Standardization and Economic Growth: A Bibliometric Analysis," International Journal of Standardization Research (IJSR), IGI Global, vol. 19(1), pages 1-25, January.
    9. Tang, Lingxiao & Cai, Fei & Ouyang, Yao, 2019. "Applying a nonparametric random forest algorithm to assess the credit risk of the energy industry in China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 563-572.
    10. Ulrich Erlenmaier & Hans Gersbach, 2014. "Default Correlations in the Merton Model," Review of Finance, European Finance Association, vol. 18(5), pages 1775-1809.
    11. Bowns, Steven & Bradley, Ian & Knee, Paula & Williams, Fiona & Williams, Geoffrey, 2003. "Measuring the economic benefits from R&D: improvements in the MMI model of the United Kingdom National Measurement System," Research Policy, Elsevier, vol. 32(6), pages 991-1002, June.
    12. Wiegmann, Paul Moritz & de Vries, Henk J. & Blind, Knut, 2017. "Multi-mode standardisation: A critical review and a research agenda," Research Policy, Elsevier, vol. 46(8), pages 1370-1386.
    13. Elena Gregova & Katarina Valaskova & Peter Adamko & Milos Tumpach & Jaroslav Jaros, 2020. "Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
    14. García-Gallego, Ana & Mures-Quintana, María-Jesús, 2013. "La muestra de empresas en los modelos de predicción del fracaso: influencia en los resultados de clasificación || The Sample of Firms in Business Failure Prediction Models: Influence on Classification," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 15(1), pages 133-150, June.
    15. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
    16. Netsanet Haile & Jorn Altmann, 2013. "Estimating the Value Obtained from Using a Software Service Platform," TEMEP Discussion Papers 2013105, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Aug 2013.
    17. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    18. Sunti Tirapat & Aekkachai Nittayagasetwat, 1999. "An Investigation of Thai Listed Firms' Financial Distress Using Macro and Micro Variables," Multinational Finance Journal, Multinational Finance Journal, vol. 3(2), pages 103-125, June.
    19. ElBannan, Mona A., 2021. "On the prediction of financial distress in emerging markets: What matters more? Empirical evidence from Arab spring countries," Emerging Markets Review, Elsevier, vol. 47(C).
    20. Adler Haymans Manurung & Derwin Suhartono & Benny Hutahayan & Noptovius Halimawan, 2023. "Probability Bankruptcy Using Support Vector Regression Machines," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(1), pages 1-3.

    More about this item

    Keywords

    Cloud; Viability; Standardization; Service Level Agreement (SLA); Software escrow;
    All these keywords.

    JEL classification:

    • G3 - Financial Economics - - Corporate Finance and Governance
    • K - Law and Economics

    Statistics

    Access and download statistics

    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:elmark:v:28:y:2018:i:1:d:10.1007_s12525-018-0284-7. 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.