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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM27225

An Integration of Cloud Computing Technology in Television Broadcasting

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM27225

Volume:

7 |

12 |

Dec 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ECMB

Er. Chinta Mani Baral

PDSS

Prof. Dr. Subarna Shakya

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Abstract

The rapid development of Information Communication Technology(ICT) has made the significant change in Television Broadcasting Industry in terms of broadcasting content Ingest, Storage, Network, Scheduling, Playout Sytem including transmission system. The Television Broadcasting Industry is using automation system for the operation of Broadcasting that has reduced the operational and infrastructural cost significantly due to the lower market price of the Information Technology based Infrastructure in Comparision to the conventional Tape-based content storage and Playout Infrastructure. The further development in the field of Information Communication Technology is the advent of Cloud Computing which is going to be potential revolution in the Broadcasting Industry. The Integration of Cloud Computing in the Broadcasting is the Next Generation Broadcasting which is the Television Broadcasting Sytem without buying physical infrastructure by the broadcasters and they just need to buy required Cloud Services. The Broadcasters use remote Cloud Service for ingest, storage including network using Cloud Virtualization. The Broadcasters make the Service Level Agreement which is the short term commitment according to pay per use provision. This research project focusses on the technical integration of the Cloud Computing Technology in the existing Broadcasting Technology for the ingest, storage, scheduling and playout of the broadcasting content including the network system. The Broadcasters need not to buy on-premises equipment and all services will be available in the local server by Cloud Virtualization. The broadcasters need not to invest money on human resource for the maintenance of the Cloud Computing Sytem and invest minimum cost in operation. So, this study also focuses on the financial analysis of the expenditure of the Broadcasters how they leverage their profit using Cloud Computing Technology in Broadcasting. Since both hardware and software components of Information and Communication Technology (ICT) change rapidly and upgradation is needed regularly. It costs significant amount of money and skilled human resources. To avoid this investment in a short period of time, using cloud computing is only alternatives for the broadcasters. The cloud service providers upgrade and provide service as needed. In this situation, the broadcasters need not to focus on the technology upgradation and the service providers upgrade as per the technology changes. This helps the broadcasters to focus on the content to broadcast and customer relation. This also helps the broadcasters to avoid the cost of maintenance of equipment and integration. The broadcasters need to pay just monthly charge of the service which is genuinely reasonable. All required services for broadcasting like ingest of the content, storage, editing of the content using latest virtual hardware and software and playout are available using virtualization of cloud servers. It is only alternative for the broadcasters to choose the broadcasting technology for future.

KEYWORDS

Cloud Computing Television Broadcasting Service Level Agreement Virtualization Cloud Service Providers

Cite This Article

Er. Chinta Mani Baral, Prof. Dr. Subarna Shakya, "An Integration of Cloud Computing Technology in Television Broadcasting," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 12, Dec 2023. https://doi.org/10.55041/IJSREM27225

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Publication Date

12/22/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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