Cited by 125Caching and Content DeliveryNetwork Traffic and Congestion ControlOpportunistic and Delay-Tolerant Networks

An effective hop-by-hop Interest shaping mechanism for CCN communications

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Rozhnova, Natalya, Fdida, Serge·2012·2012 Proceedings IEEE INFOCOM Workshops

Abstract

We introduce a rate-based congestion control mechanism for Content-Centric Networking (CCN). It builds on the fact that one Interest retrieves at most one Data packet. Congestion can occur when aggregate conversations arrive in excess and fill up the transmission queue of a CCN router. We compute the available capacity of each CCN router in a distributed way in order to shape their conversations Interest rate and therefore, adjust dynamically their Data rate and transmission buffer occupancy. We demonstrate the convergence properties of this Hop-by-hop Interest Shaping mechanism (HoBHIS) and provide a performance analysis based on various scenarios using our ns2simulation environment.

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Crossref · 10.1109/infcomw.2012.6193514

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Authors
Rozhnova, N., & Fdida, S.
Affiliations
Centre National de la Recherche Scientifique (FR)
Venue
2012 Proceedings IEEE INFOCOM Workshops
Publisher
IEEE
Published
2012-03
Pages
322-327
OpenAlex
W2075633861
Cited by
125
References
14
Citations by year
2026: 3 · 2025: 3 · 2024: 6 · 2023: 7 · 2022: 2 · 2021: 11 · 2020: 10 · 2019: 9 · 2018: 15 · 2017: 12 · 2016: 15 · 2015: 8 · 2014: 8 · 2013: 10 · 2012: 6
FWCI
8.59
Type
conference paper
Language
en
Licence
other-oa
Locations
  • IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (publishedVersion)
  • HAL (submittedVersion, other-oa)
Funders
Agence Nationale de la Recherche
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Caching and Content Delivery
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
  • Physical Sciences › Computer Science › Computer Networks and Communications › Opportunistic and Delay-Tolerant Networks
Keywords
content-centric networking, congestion control, rate-based control, convergence analysis

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