IDEAS home Printed from https://ideas.repec.org/a/wly/intnem/v31y2021i4ne2137.html
   My bibliography  Save this article

A cost‐efficient QoS‐aware analytical model of future software content delivery networks

Author

Listed:
  • Beatriz Otero
  • Eva Rodríguez
  • Otilio Rojas
  • Javier Verdú
  • Juan José Costa
  • Manuel Alejandro Pajuelo
  • Ramón Canal

Abstract

Freelance, part‐time, work‐at‐home, and other flexible jobs are changing the concept of workplace and bringing information and content exchange problems to companies. Geographically, spread corporations may use remote distribution of software and data to attend employees' demands, by exploiting emerging delivery technologies. In this context, cost‐efficient software distribution is crucial to allow business evolution and make IT infrastructures more agile. On the other hand, container‐based virtualization technology is shaping the new trends of software deployment and infrastructure design. We envision current and future enterprise IT management trends evolving towards container‐based software delivery over hybrid content delivery networks (CDNs). This paper presents a novel cost‐efficient QoS‐aware analytical model and a hybrid CDN–peer‐to‐peer (P2P) architecture for enterprise software distribution. The model would allow delivery cost minimization for a wide range of companies, from big multinationals to SMEs, using CDN–P2P distribution under various industrial hypothetical scenarios. Model constraints guarantee acceptable deployment times and keep interchanged content amounts below the bandwidth and storage network limits in our scenarios. Indeed, key model parameters account for network bandwidth, storage limits, and rental prices, which are empirically determined from their offered values by the commercial delivery networks KeyCDN, MaxCDN, CDN77, and BunnyCDN. This preliminary study indicates that MaxCDN offers the best cost‐QoS trade‐off. The model is implemented in the network simulation tool PeerSim and then applied to diverse testing scenarios by varying company types, number and profile (either, technical or administrative) of employees, and the number and size of content requests. Hybrid simulation results show overall economic savings between 5% and 20%, compared to just hiring resources from a commercial CDN, while guaranteeing satisfactory QoS levels in terms of deployment times and number of served requests.

Suggested Citation

  • Beatriz Otero & Eva Rodríguez & Otilio Rojas & Javier Verdú & Juan José Costa & Manuel Alejandro Pajuelo & Ramón Canal, 2021. "A cost‐efficient QoS‐aware analytical model of future software content delivery networks," International Journal of Network Management, John Wiley & Sons, vol. 31(4), July.
    • Handle: RePEc:wly:intnem:v:31:y:2021:i:4:n:e2137
    DOI: 10.1002/nem.2137
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/nem.2137
    Download Restriction: no
    File URL: https://libkey.io/10.1002/nem.2137?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
    ---><---

    References listed on IDEAS

    as
    1. Thomas Haipeter & Markus Hertwig & Sophie Rosenbohm, 2019. "Employee Representation in Multinational Companies," Springer Books, Springer, number 978-3-319-97559-7, September.
    Full references (including those not matched with items on IDEAS)

    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. Isabell Koinig & Franzisca Weder, 2021. "Employee Representatives and a Good Working Life: Achieving Social and Communicative Sustainability for HRM," Sustainability, MDPI, vol. 13(14), pages 1-19, July.

    More about this item

    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:wly:intnem:v:31:y:2021:i:4:n:e2137. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1099-1190 .

    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.