IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i5idhcseit1725191.html

An Adaptive Resource Allocation Strategy for Cloud based Video Streaming

Author

Listed:
  • Jayashree M. M
  • P. Damodharan

Abstract

This paper is on video streaming using multiple resources. An adaptive scheme is applied to perform the resource allocation in terms of bandwidth and video memory in cloud based video streaming. Advances and commoditization of media generation devices enable capturing and sharing of any special event by multiple attendees. We propose a novel system to collect individual video streams (views) captured for the same event by multiple attendees, and combine them into multi-view videos, where viewers can watch the event from various angles, taking crowdsourced media streaming to a new immersive level. The simulation results demonstrate that this scheme generates an optimal and adaptive solution for resource allocation.

Suggested Citation

  • Jayashree M. M & P. Damodharan, 2017. "An Adaptive Resource Allocation Strategy for Cloud based Video Streaming," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(5), pages 810-813, October.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i5:id:hcseit1725191
    Note: Article URL: https://ijsrcseit.com/CSEIT1725191
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT1725191
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT1725191.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:jbh:ijsrcs:v2:y2017:i5:id:hcseit1725191. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.