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

Monthly Journal for Science , Computer Science and Engineering

Volume4,December 2017,

Topic : DAAM: Direct Address Accessing Method for Scalable Forwarding in NDN

Authors:Anjali Kumari || Anurudh Kumar, Ms Devikala K, R.P. Seenivasan, Dr K.Suresh Joseph

Abstract:Named data Networking (NDN) is emerging internet architecture according to today scenario about devices which function in internet of everything environment. NDN-architecture forked from content-centric networking. NDN router works on in path caching although other existing network architecture also having in-path caching mechanism but NDN works with the proper data structure and specialized interest packet handling mechanism which makes unique NDN architecture among several existing network architectures. It stores incoming interest packet address which in form of array of string containing alphanumeric values separated by (‘/’) delimited. While in Flat TCP/IP architecture IP address is used, which is not justifying today internet requirement where data handling is more important than machine and exactly NDN has hit this weakness of TCP/IP module, NDN follow only data address instead of machine address, but string is used for naming which leads to exhaustive memory consumption and extra lookup time for particular interest in table so proposed methodology reduces space complexity and lookup cost (i.e. time complexity). By using the encoding technique which potentially restrict the memory usage. In encoding technique encode the element of a name prefixes with an automatically generated unique number. This paper, based on reduction the lookup up cost and the insertion cost for a request..

Keywords: Component Trie, Frequently recently used (FRU) algorithm, NDN

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DOI: 01.1617/vol4/iss12/pid96178

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Dr. Allon Guez
Professor, Drexel University,

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

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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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