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Prediction based Outcome for Media Streaming Applications

Published on June 2016 by Ankita Gorde, Neha Gandhi, Richa Mishra, Rupesh Pathak, B. Padmavathi
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National Conference on Advances in Computing, Communication and Networking
Foundation of Computer Science USA
ACCNET2016 - Number 1
June 2016
Authors: Ankita Gorde, Neha Gandhi, Richa Mishra, Rupesh Pathak, B. Padmavathi
6f895e7a-2418-47e9-bf14-65d3c87b6cfc

Ankita Gorde, Neha Gandhi, Richa Mishra, Rupesh Pathak, B. Padmavathi . Prediction based Outcome for Media Streaming Applications. National Conference on Advances in Computing, Communication and Networking. ACCNET2016, 1 (June 2016), 11-15.

@article{
author = { Ankita Gorde, Neha Gandhi, Richa Mishra, Rupesh Pathak, B. Padmavathi },
title = { Prediction based Outcome for Media Streaming Applications },
journal = { National Conference on Advances in Computing, Communication and Networking },
issue_date = { June 2016 },
volume = { ACCNET2016 },
number = { 1 },
month = { June },
year = { 2016 },
issn = 0975-8887,
pages = { 11-15 },
numpages = 5,
url = { /proceedings/accnet2016/number1/24969-2255/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing, Communication and Networking
%A Ankita Gorde
%A Neha Gandhi
%A Richa Mishra
%A Rupesh Pathak
%A B. Padmavathi
%T Prediction based Outcome for Media Streaming Applications
%J National Conference on Advances in Computing, Communication and Networking
%@ 0975-8887
%V ACCNET2016
%N 1
%P 11-15
%D 2016
%I International Journal of Computer Applications
Abstract

Media Streaming applications have attracted large amount of users in the internet. Due to onset of these bandwidth-intensive applications, it became economically inef?cient to provide distribution of streaming with guaranteed QoS dependent only on central resources at a Media content provider. Cloud computing offers an elastic infrastructure so that media content providers (e. g. , (VoD) i. e Video on Demand providers) can use to obtain streaming resources that matches the demand or requirement. Media content providers are debited for the resources allocated or reserved in the cloud. Most of the existing cloud providers use to employ a pricing model for the reserved. Such pricing schemes offers an discount rates depending non-linearly on the period of time the resources are reserved during this time in the cloud. In this case, to decide that the right amount of resources reserved in the cloud and their reservation time is an open problem such that the cost on the media content provider is minimized.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Media Database Media Information Retrieval Genetic Algorithm Query Ranking.