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International Journal
of Computer Engineering in Research Trends (IJCERT)

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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

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Cloud-Based Novel Mobile Social TV (CloudmoV)

M.Sri Devi, G.Sushmitha Vardana, C.Kavitha, P.Rama Rao,
Affiliations
Department of CSE, G.Pullaiah College of Engineering and Technology. Kurnool JNTU Anatapur, Andhra Pradesh, India
:NOT ASSIGNED


Abstract
In this era of information and technology, two technologies became integral part of our lives, well at least for the younger or tech savvy generation, mobile phones and social media. Such is the power of these two, that business were forces to integrate these in their marketing and customer support strategies. Social media has become a place for today’s customer to hangout, so it has also become a place for today’s enterprises to advertise their products. From cosmetics to films everyone has a presence on the social network. In this paper, we propose the design of a Cloud-based, novel Mobile social TV system (CloudMoV). The system effectively utilizes both PaaS (Platform-as-a-Service) and IaaS (Infrastructureas-a- Service) cloud services to offer These various designs for flexible transcoding capabilities, battery efficiency of mobile devices and spontaneous social interactivity together provide an ideal platform for mobile social TV services. These various designs for flexible transcoding capabilities, battery efficiency of mobile devices and spontaneous social interactivity together provide an ideal platform for mobile social TV services.


Citation
M.Sri Devi,G.Sushmitha Vardana,C.Kavitha,P.Rama Rao."Cloud-Based Novel Mobile Social TV (CloudmoV)". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 04,pp.235-239, OCTOBER - 2014, URL :https://ijcert.org/ems/ijcert_papers/V1I412.pdf,


Keywords : Cloud-based novel Mobile social TV, SMAC, Transcoding, Encoding flexibility.

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Citation Index


Citations Indices All
Citations 1026
h-index 14
i10-index 20
Source: Google Scholar

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Acceptance Rate (By Year)
Year Rate
2021 10.8%
2020 13.6%
2019 15.9%
2018 14.5%
2017 16.6%
2016 15.8%
2015 18.2%
2014 20.6%

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DOI:10.22362/ijcert