UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 1
January-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Unique Identifier

Published Paper ID:
JETIRDW06184


Registration ID:
232660

Page Number

1147-1151

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Title

Study of Opus Depiction by Using Big Data Analysis

Abstract

Abstract The purpose of the paper is the elaboration of how SIP Opus Depiction by Using Big Data Analysis works for Direct Routing with teams in conjunction with Cloud SBC (Session Border Controllers) for direct routing. The direct routing happens over various subnets over the Microsoft Cloud and the Cloud routing happens in background and various services like Telepresence routing works in conjunction with Session Initiation Protocol.

Key Words

Keywords: Opus Depiction Protocol , PSTN (Public Switched Telephone Network) and Unified Communication.

Cite This Article

"Study of Opus Depiction by Using Big Data Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.1147-1151, January 2019, Available :http://www.jetir.org/papers/JETIRDW06184.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Study of Opus Depiction by Using Big Data Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp1147-1151, January 2019, Available at : http://www.jetir.org/papers/JETIRDW06184.pdf

Publication Details

Published Paper ID: JETIRDW06184
Registration ID: 232660
Published In: Volume 6 | Issue 1 | Year January-2019
DOI (Digital Object Identifier):
Page No: 1147-1151
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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