article

A Centrality-measures based Caching Scheme for Content-centric Networking (CCN)

Authors:

Kumari Nidhi Lal,

Anoj KumarAuthors Info & Claims

Multimedia Tools and Applications, Volume 77, Issue 14

Pages 17625 - 17642

https://doi.org/10.1007/s11042-017-5183-y

Published: 01 July 2018 Publication History

Abstract

Content-centric networking (CCN) is gradually becoming an alternative approach to the conventional Internet architecture through the distribution of enlightening information (named as content) on the Internet. It is evaluated that the better performance can be achieved by caching is done on a subset of content routers instead of all the routers in the content delivery path. The subset of a content router must be selected in a manner such that maximum cache performance can be achieved. Motivated by this, we propose a Centrality-measures based algorithm (CMBA) for selection of an appropriate content router for caching of the contents. The Centrality-measures are based on the question: "Who are the most important or central content router in the network for the caching of contents?". We found that our novel CMBA could improve content cache performance along the content delivery path by using only a subset of available content routers. Our results recommend that our proposed work consistently achieves better caching gain across the multiple network topologies.

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Cited By

Zahedinia MKhayyambashi MBohlooli A(2023)IoT data management for caching performance improvement in NDNCluster Computing10.1007/s10586-023-04197-227:4(4537-4550)Online publication date: 28-Nov-2023
https://dl.acm.org/doi/10.1007/s10586-023-04197-2
Wang L(2021)Adaptive genetic algorithm inspired energy‐efficient cache deployment strategy for caching‐enabled networksInternet Technology Letters10.1002/itl2.2454:5Online publication date: 13-Sep-2021

Index Terms

A Centrality-measures based Caching Scheme for Content-centric Networking (CCN)
1. Networks
  1. Network services

Index terms have been assigned to the content through auto-classification.

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cover image Multimedia Tools and Applications

Multimedia Tools and Applications Volume 77, Issue 14

Jul 2018

1326 pages

ISSN:1380-7501

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Copyright © Copyright © 2018 Springer Science+Business Media, LLC, part of Springer Nature.

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Kluwer Academic Publishers

United States

Publication History

Published: 01 July 2018

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Cited By

Zahedinia MKhayyambashi MBohlooli A(2023)IoT data management for caching performance improvement in NDNCluster Computing10.1007/s10586-023-04197-227:4(4537-4550)Online publication date: 28-Nov-2023
https://dl.acm.org/doi/10.1007/s10586-023-04197-2
Wang L(2021)Adaptive genetic algorithm inspired energy‐efficient cache deployment strategy for caching‐enabled networksInternet Technology Letters10.1002/itl2.2454:5Online publication date: 13-Sep-2021

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