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Reseach Article

AMES-Cloud: A Framework of Preservation, Fetching and Decisive Video Streaming Over Cloud Computing

Published on October 2015 by Payal Krishnarao Hedau, and Manoj S. Chaudhari
International Conference on Advancements in Engineering and Technology (ICAET 2015)
Foundation of Computer Science USA
ICQUEST2015 - Number 5
October 2015
Authors: Payal Krishnarao Hedau, and Manoj S. Chaudhari
82f279f2-a722-4fac-9db4-75776031d269

Payal Krishnarao Hedau, and Manoj S. Chaudhari . AMES-Cloud: A Framework of Preservation, Fetching and Decisive Video Streaming Over Cloud Computing. International Conference on Advancements in Engineering and Technology (ICAET 2015). ICQUEST2015, 5 (October 2015), 11-15.

@article{
author = { Payal Krishnarao Hedau, and Manoj S. Chaudhari },
title = { AMES-Cloud: A Framework of Preservation, Fetching and Decisive Video Streaming Over Cloud Computing },
journal = { International Conference on Advancements in Engineering and Technology (ICAET 2015) },
issue_date = { October 2015 },
volume = { ICQUEST2015 },
number = { 5 },
month = { October },
year = { 2015 },
issn = 0975-8887,
pages = { 11-15 },
numpages = 5,
url = { /proceedings/icquest2015/number5/23007-2890/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology (ICAET 2015)
%A Payal Krishnarao Hedau
%A and Manoj S. Chaudhari
%T AMES-Cloud: A Framework of Preservation, Fetching and Decisive Video Streaming Over Cloud Computing
%J International Conference on Advancements in Engineering and Technology (ICAET 2015)
%@ 0975-8887
%V ICQUEST2015
%N 5
%P 11-15
%D 2015
%I International Journal of Computer Applications
Abstract

The exponential increasing traffic demands of mobile streaming services over a network have been unpleasant the wireless link capability cannot keep up with the growing traffic load. There is some space between link capability and traffic demand with time varying link condition which gives results in poor quality of streaming services such as constant interruption and long buffering delays. The AMES-Cloud proposes a new video streaming methods which is User-Adaptive Mobile Video Streaming (AMoV) and User-Behavior Oriented Video Pre-fetching (UBoP). The AMoV and UBoP create a private mediator for efficient video streaming distribution process. The private mediator adjust the streaming flow and reduces the traffic using scalable video coding technique ( SVC ) which shows the social interaction among each user. The video quality of streaming is based on the feedback of link quality. This shows the effectively streaming and sharing service over a network. The efficient background pre-fetching is also done which is based on user resolution and bandwidth. It provides advance and excellence service of video streaming while using the networking and computing assets resourcefully.

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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Video Streaming Scalable Video Coding (svc) Social Video Sharing Video Cloud And Video Base.