International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,April 2018,

Topic : A Novel Structure of the Data Objects in Data Aware Networking

Authors:M. Ravi Kumar || V. Sujatha Lakshmi, Y.K Sundara Krishna

Abstract:Innovative progressions in technologies, in particular, the proliferating smart livelihood systems provoking a gigantic data hardship on the networks these days. The proclamation of brand new technologies every day might significantly demand a thumping data to be disseminated around, which causes the existing networks awkward to handle it copiously. In order to address such impediments and to instigate diverse services to be flourished in the prospective networks, the ITU-T recommended a state-ofthe- art network paradigm, known to be as the Data Aware Networking (DAN). This recent approach structures its data in the form of data objects that lets the users have a quick name-based identification and retrieval of the desired data nevertheless of its location, which significantly curtails the burden on the networks and also greatly reduce the blockades in today’s host centric networks. In this paper, we classified the data objects into various categories and proposed a novel structure for the data objects that empowers the DANs intermediary elements to identify a requested data object, process it accordingly in order to disseminate the same to its requester possibly from a nearest DAN element. This novel approach makes the DAN an imperative architecture to realize the future networks.

Keywords: Data Aware Networking, DAN, Data Objects, DO_ID, Country_ID, Agent_ID, Author_ID, Scope_ID, Nature_ID, Life_ID, Regional Agents, National Agents, Local Agents

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DOI: 01.1617/vol5/iss4/pid39610


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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