alexa Abstract | A Structure of Adaptive Portable Video Streaming and Efficient Common Video Cassette Sharing In the Clouds
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


Utilizing the reasoning processing technology, a new cellular movie loading structure, known as AMESCloud, which has two main parts: AMoV (adaptive cellular movie streaming) and ESoV (efficient public movie sharing). AMoV and ESoV build a personal broker to offer movie loading services efficiently for each cellular customer. For a given customer, AMoV lets her undercover broker adaptively adjust her stream flow with a scalable movie programming technique in accordance with the reviews of link quality. Likewise, ESoV watches the online community communications among cellular users, and their personal providers try to prefetch movie content in advance. We apply a model of the AMES-Cloud structure to show its performance. It is shown that the personal providers in the atmosphere can effectively offer the flexible loading, and perform movie discussing (i.e., prefetching) in accordance with the online community analysis.. We first recommend an precise Comparison-based Profile Related method (eCPM) which runs between two parties, an initiator and a -responder. The eCPM enable the initiator to acquire the comparison-based matching outcome about a specified feature in their profiles, while stop their feature values from exposure. We then recommend an implied Comparison-based Profile Related method (iCPM) which allows the initiator to straight acquire some information instead of the evaluation outcome from the -responder. The information unique to customer profile can be separated into multiple groups by the -responder. The initiator unquestioningly selects the involved category which is unknown to the -responder.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): M.Mahipal M.Bhaskar

Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version