article

An adaptive neuro-fuzzy inference system-based caching scheme for content-centric networking

Authors:

Shishupal Kumar,

Vijay Kumar ChaurasiyaAuthors Info & Claims

Soft Computing - A Fusion of Foundations, Methodologies and Applications, Volume 23, Issue 12

Pages 4459 - 4470

https://doi.org/10.1007/s00500-018-3105-1

Published: 01 June 2019 Publication History

Abstract

Content-centric networking (CCN) is gradually becoming the alternative approach to the traditional Internet architecture through enlightening information (content) distribution on the Internet with content names. The growing rate of Internet traffic has adapted a content-centric architecture to better serve the user requirement of accessing a content. For enhancing content delivery, ubiquitous in-network caching is utilized to store a content in each and every router by the side of the content delivery path. From the study, it is evaluated that a better performance can be achieved when caching is done by a subset of CRs instead of all CRs in a content delivery path. Motivated by this, we proposed an adaptive neuro-fuzzy inference system-based caching (ANFIS-BC) scheme for CCN to improve the cache performance. The proposed ANFIS-BC scheme utilizes the feature of centrality-measures for selection of a router for caching in a network. Our results demonstrated that the ANFIS-BC scheme consistently achieves better caching gain across the multiple network topologies.

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Cited By

Peng XGarg H(2022)Intuitionistic fuzzy soft decision making method based on CoCoSo and CRITIC for CCN cache placement strategy selectionArtificial Intelligence Review10.1007/s10462-021-09995-x55:2(1567-1604)Online publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1007/s10462-021-09995-x

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cover image Soft Computing - A Fusion of Foundations, Methodologies and Applications

Soft Computing - A Fusion of Foundations, Methodologies and Applications Volume 23, Issue 12

June 2019

662 pages

ISSN:1432-7643

EISSN:1433-7479

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Copyright © Copyright © 2019 Springer-Verlag GmbH Germany, part of Springer Nature.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 June 2019

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Cited By

Peng XGarg H(2022)Intuitionistic fuzzy soft decision making method based on CoCoSo and CRITIC for CCN cache placement strategy selectionArtificial Intelligence Review10.1007/s10462-021-09995-x55:2(1567-1604)Online publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1007/s10462-021-09995-x

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