An Adaptive Resource Allocation Strategy for Cloud based Video Streaming

Authors

  • Jayashree M. M  PG Student, Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • P. Damodharan  Associate Professor, Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India

Keywords:

Cloud Computing, Video streaming, MultiView, Cloud based Streaming (CBS)

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-10-31

Issue

Volume 2, Issue 5, September-October-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Jayashree M. M, P. Damodharan, " An Adaptive Resource Allocation Strategy for Cloud based Video Streaming" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.810-813, September-October-2017.