IDEAS home Printed from https://ideas.repec.org/a/inm/orserv/v5y2013i2p88-101.html
   My bibliography  Save this article

Cloud Computing Operations Research

Author

Listed:
  • Ilyas Iyoob

    (Cockrell School of Engineering, University of Texas at Austin, Austin, Texas 78712)

  • Emrah Zarifoglu

    (IBM, Foster City, California 94404)

  • A. B. Dieker

    (H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332)

Abstract

This paper argues that the cloud computing industry faces many decision problems where operations research (OR) could add tremendous value. To this end, we provide an OR perspective on cloud computing in three ways. First, we compare the cloud computing process with the traditional pull supply chain and introduce the cloud IT supply chain as the system of moving information from suppliers to consumers through the cloud network. Second, based on this analogy, we organize the cloud computing decision space by identifying the problems that need to be solved by each player in the supply chain—namely, (1) cloud providers, (2) cloud consumers, and (3) cloud brokers. We list the OR problems of interest from each player's perspective and discuss the tools that may need to be developed to solve them. Third, we survey past and current research in this space and discuss future research opportunities in cloud computing operations research.

Suggested Citation

  • Ilyas Iyoob & Emrah Zarifoglu & A. B. Dieker, 2013. "Cloud Computing Operations Research," Service Science, INFORMS, vol. 5(2), pages 88-101, June.
    • Handle: RePEc:inm:orserv:v:5:y:2013:i:2:p:88-101
    DOI: 10.1287/serv.1120.0038
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/serv.1120.0038
    Download Restriction: no
    File URL: https://libkey.io/10.1287/serv.1120.0038?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
    ---><---

    Citations

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


    Cited by:

    1. Chiehyeon Lim & Paul P. Maglio, 2018. "Data-Driven Understanding of Smart Service Systems Through Text Mining," Service Science, INFORMS, vol. 10(2), pages 154-180, June.
    2. Yong Liang & Mengshi Lu & Zuo‐Jun Max Shen & Runyu Tang, 2021. "Data Center Network Design for Internet‐Related Services and Cloud Computing," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2077-2101, July.
    3. Bülbül, Kerem & Noyan, Nilay & Erol, Hazal, 2021. "Multi-stage stochastic programming models for provisioning cloud computing resources," European Journal of Operational Research, Elsevier, vol. 288(3), pages 886-901.
    4. Manuel A. Nunez & Xue Bai & Linna Du, 2021. "Leveraging Slack Capacity in IaaS Contract Cloud Services," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 883-901, April.
    5. Hossein Jahandideh & Julie Ward Drew & Filippo Balestrieri & Kevin McCardle, 2020. "Individualized Pricing for a Cloud Provider Hosting Interactive Applications," Service Science, INFORMS, vol. 12(4), pages 130-147, December.
    6. Zhong, Zhiheng & Cao, Ping, 2023. "Balanced routing with partial information in a distributed parallel many-server queueing system," European Journal of Operational Research, Elsevier, vol. 304(2), pages 618-633.

    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:inm:orserv:v:5:y:2013:i:2:p:88-101. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.