IDEAS home Printed from https://ideas.repec.org/a/igg/jwsr00/v12y2015i1p27-44.html
   My bibliography  Save this article

QoS Evaluation of End-to-End Services in Virtualized Computing Environments: A Stochastic Model Approach

Author

Listed:
  • Guofeng Yan

    (School of Computer and Communication, Hunan Institute of Engineering, Hunan, China & School of Computer, National University of Defense Science and Technology, Changsha, China)

  • Yuxing Peng

    (School of Computer, National University of Defense Science and Technology, Changsha, China)

  • Shuhong Chen

    (School of Information Science and Engineering, Central South University, Changsha, China)

  • Pengfei You

    (School of Computer, National University of Defense Science and Technology, Changsha, China)

Abstract

Quality of service (QoS) optimization for end-to-end (e2e) services always depends on performance analysis in cloud-based service delivery industry. However, performance analysis of e2e services becomes difficult as the scale and complexity of virtualized computing environments increase. In this paper, the authors present a novel hierarchical stochastic approach to evaluate the QoS of e2e virtualized cloud services using Quasi-Birth Death structures, where jobs arrive according to a stochastic process and request virtual machines (VMs), which are specified in terms of resources, i.e., VM-configuration. To reduce the complexity of performance evaluation, the overall virtualized cloud services are partitioned into three sub-hierarchies. The authors analyze each individual sub-hierarchy using stochastic queueing approach. Thus, the key performance metrics of e2e cloud service QoS, such as acceptance probability and e2e response delay incurred on user requests, are obtained.

Suggested Citation

  • Guofeng Yan & Yuxing Peng & Shuhong Chen & Pengfei You, 2015. "QoS Evaluation of End-to-End Services in Virtualized Computing Environments: A Stochastic Model Approach," International Journal of Web Services Research (IJWSR), IGI Global, vol. 12(1), pages 27-44, January.
    • Handle: RePEc:igg:jwsr00:v:12:y:2015:i:1:p:27-44
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWSR.2015010103
    Download Restriction: no
    ---><---

    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:igg:jwsr00:v:12:y:2015:i:1:p:27-44. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.