The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2018.090922
PDF

Interest Reduction and PIT Minimization in Content Centric Networks

Author 1: Aadil Zia Khan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 9, 2018.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Content Centric Networking aspires to a more efficient use of the Internet through in-path caching, multi-homing, and provisions for state maintenance and intelligent forwarding at the CCN routers. However, these benefits of CCN’s communication model come at the cost of large Pending Interest Table (PIT) sizes and Interest traffic overhead. Reducing PIT size is essential since larger memory sizes have an associated cost of slower access speeds, which would become a bottleneck in high speed networks. Similarly, Interest traffic may lead to upload capacity getting filled up which would be inefficient as well as problematic in case of traffics having bidirectional data transfers such as video conferencing. Our contribution in this paper is threefold. Firstly, we reduce PIT size by eliminating the need for maintaining PIT entries at all routers. We include the return path in the packets and maintain PIT entries at the egress routers only. Further, we use Persistent Interests (PIs), where one Interest suffices for retrieving multiple data segments, in order to reduce PIT entries at the egress routers as well as to reduce Interest overhead. This is especially useful for live and interactive traffic types where packet sizes are small leading to a large number of pipelined Interests at any given time. Lastly, since using PIs affects CCN’s original transport model, we address the affected aspects, namely congestion and flow control and multi path content retrieval. For our congestion scheme, we show that it achieves max-min fairness.

Keywords: Content centric networks; congestion control; scalability

Aadil Zia Khan, “Interest Reduction and PIT Minimization in Content Centric Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 9(9), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090922

@article{Khan2018,
title = {Interest Reduction and PIT Minimization in Content Centric Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090922},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090922},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {9},
author = {Aadil Zia Khan}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org