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Article:A New Grid Architecture using JMF for Video-on-Demand Applications

by L.M.Nithya, Dr.A.Shanmugam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 9
Year of Publication: 2010
Authors: L.M.Nithya, Dr.A.Shanmugam
10.5120/1508-2026

L.M.Nithya, Dr.A.Shanmugam . Article:A New Grid Architecture using JMF for Video-on-Demand Applications. International Journal of Computer Applications. 10, 9 ( November 2010), 34-39. DOI=10.5120/1508-2026

@article{ 10.5120/1508-2026,
author = { L.M.Nithya, Dr.A.Shanmugam },
title = { Article:A New Grid Architecture using JMF for Video-on-Demand Applications },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 9 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 34-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number9/1508-2026/ },
doi = { 10.5120/1508-2026 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:18.768502+05:30
%A L.M.Nithya
%A Dr.A.Shanmugam
%T Article:A New Grid Architecture using JMF for Video-on-Demand Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 9
%P 34-39
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid computing was used only in scientific laboratories for many years. Only during the last few years, it is evolving into a business-innovating technology that is driving commercial adoption. In this paper, a Grid-based multimedia application for the distributed tailoring and streaming of media files is proposed. An innovative multimedia data dissemination strategy, based on the Fibonacci series, is used. To respond to the quality-of-service (QoS) requirements, soft real-time applications, a new architecture is presented. Such architecture is able to manage the Grid resource allocation effectively. Technical and practical problems encountered during the development are discussed, and a thorough performance evaluation of the developed prototype is presented. The developed application is found to be better than the existing architectures.

References
  1. CERN open lab for data grid applications. http://proj- openlab-datagridpublic.web.cern.ch/proj-openlab-datagrid-public/.
  2. Dario Bruneo and Antonio Puliafito, 2009, GridVideo: A Practical Example of Nonscientific application on the Grid, IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 5.
  3. Erwin, D.W., and Snelling, D. F, 2001, UNICORE: A Grid computing environment.Lecture Notes in Computer Science, 2150.
  4. Foster, I., 2001, The anatomy of the Grid: Enabling scalable virtual organizations. Lecture Notes in Computer Science, 2150.
  5. Foster, I., Kesselman, C., and Tuecke, S., 2001, The Anatomy of the Grid: Enabling Scalable Virtual Organizations, Int’l J. High Performance Computing Applications, vol. 15, no. 3, pp. 200-222.
  6. Grid Computing Focus Group Software Engineering and Technology Labs,, 2006 Distributed Video-on-Demand—A Grid Based VoD Solution, white paper, http://www.infosys.com/industries/media-entertainment/studios-network/white-papers/video-ondemand. pdf.
  7. Liao, X., Jin, H., Ni, L.M., and Deng, D., 2006, Anysee: Peer-to-Peer Live Streaming, Proc. IEEE INFOCOM ’06, pp. 1-10.
  8. The datagrid project http://www.datagrid.cnr.it/.
  9. Yiu, W.-P.K. ,Jin, X., and Chan, S.-H.G. , 2007, Challenges and Approaches in Large-Scale P2P Media Streaming, IEEE Multimedia, pp. 50-59.
Index Terms

Computer Science
Information Sciences

Keywords

Grid computing distributed streaming multimedia data dissemination

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