IDEAS home Printed from https://ideas.repec.org/a/igg/jkbo00/v8y2018i1p16-28.html
   My bibliography  Save this article

Formal Analysis of Virtual Machine Migration and Identification of Faults

Author

Listed:
  • Santosh Kumar Majhi

    (VSS University of Technology, Department of Computer Science and Engineering, Burla, India)

  • Sunil Kumar Dhal

    (Sri Sri University, Faculty of Management Studies, Cuttack, India)

Abstract

Infrastructure as a service (IaaS) cloud supports flexible and agile execution of applications by creating virtualized execution environment namely, virtual machines (VMs) with on-demand infrastructural resources. In such environment, VM migration is used as a tool to facilitate system maintenance, load balancing and fault tolerance. The use of VM migration is to establish the portfolio of using dynamic and scalable infrastructure services offered by the service providers. In this paper, we study the VM migration process and investigate the potential faults which can occur during migration. Also, the state changes of a VM throughout its lifetime has been systematically analyzed and modeled as concurrent state machines. The potential faults are presented considering the live migration process of VM and accordingly VM state changes. In addition, a methodology for identifying the migration faults has been presented.

Suggested Citation

  • Santosh Kumar Majhi & Sunil Kumar Dhal, 2018. "Formal Analysis of Virtual Machine Migration and Identification of Faults," International Journal of Knowledge-Based Organizations (IJKBO), IGI Global, vol. 8(1), pages 16-28, January.
  • Handle: RePEc:igg:jkbo00:v:8:y:2018:i:1:p:16-28
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKBO.2018010102
    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:jkbo00:v:8:y:2018:i:1:p:16-28. 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.