A survey of information-centric networking

Ahlgren, Bengt; Dannewitz, Christian; Imbrenda, Claudio; Kutscher, Dirk; Ohlman, Börje

doi:10.1109/mcom.2012.6231276

Cited by 1,413 publications

(737 citation statements)

References 10 publications

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“…Earlier surveys [SoA1] [SoA2] note that describing ICN architectures is akin to shooting a moving target. We find that comparing these different approaches is often even more tricky.…”

Section: Baseline Scenario Selectionmentioning

confidence: 99%

Information-Centric Networking: Baseline Scenarios

Davies¹,

Tyson²,

Ohlman³

et al. 2015

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This document aims at establishing a common understanding about a set of scenarios that can be used as a base for the evaluation of different information-centric networking (ICN) approaches so that they can be tested and compared against each other while showcasing their own advantages. Towards this end, we review the ICN literature and document scenarios which have been considered in previous performance evaluation studies. We discuss a variety of aspects that an ICN solution can address. This includes general aspects, such as, network efficiency, reduced complexity, increased scalability and reliability, mobility support, multicast and caching performance, real-time communication efficiency, energy consumption frugality, and disruption and delay tolerance. We detail ICN-specific aspects as well, such as information security and trust, persistence, availability, provenance, and location independence.

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“…Earlier surveys [SoA1] [SoA2] note that describing ICN architectures is akin to shooting a moving target. We find that comparing these different approaches is often even more tricky.…”

Section: Baseline Scenario Selectionmentioning

confidence: 99%

Information-Centric Networking: Baseline Scenarios

Davies¹,

Tyson²,

Ohlman³

et al. 2015

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“…While providing a literature review of CCN and ICN is out of the scope of this work, it is useful to point the reader to [8] for a general survey of ICN, and to [18] for details of CCN architecture. Closer work to ours is represented by [2], [4], [6], that are, to the best of our knowledge, the only CCN-related software readily available to the scientific community.…”

Section: Related Workmentioning

confidence: 99%

ccnSim: An highly scalable CCN simulator

Chiocchetti

Rossi

Rossini

2013

2013 IEEE International Conference on Communications (ICC)

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Abstract-Research interest about Information Centric Networking (ICN) has grown at a very fast pace over the last few years, especially after the 2009 seminal paper of Van Jacobson et al. describing a Content Centric Network (CCN) architecture. While significant research effort has been produced in terms of architectures, algorithms, and models, the scientific community currently lacks common tools and scenarios to allow a fair crosscomparison among the different proposals.The situation is particularly complex as the commonly used general-purpose simulators cannot cope with the expected system scale: thus, many proposals are currently evaluated over small and unrealistic scale, especially in terms of dominant factors like catalog and cache sizes. As such, there is need of a scalable tool under which different algorithms can be tested and compared.Over the last years, we have developed and optimized ccnSim, an highly scalable chunk-level simulator especially suitable for the analysis of caching performance of CCN network. In this paper, we briefly describe the tool, and present an extensive benchmark of its performance. To give an idea of ccnSim scalability, a common off-the-shelf PC equipped with 8GB of RAM memory is able to simulate 2-hours of a 50-nodes CCN network, where each nodes is equipped with 10 GB caches, serving a 1 PB catalog in about 20 min CPU time.

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“…To ensure guaranteed response time, the design space should not be constrained by technological advancements in terms of speed only, but should also encompass real-time management of information (especially under network perturbations such as failures due to natural disasters, malicious attacks, etc.) for maximizing information resilience 2 , which is the focus of this paper.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, we use "information" and "content" interchangeably. 2 We are interested in the resilience in communicating information in a network rather than resilience of information against intrusion or hacking; the latter relates to information security and is a different and important thematic research area in its own right.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Providing Information Resilience Through Modularity-Based Caching in Perturbed Information-Centric Networks

Chai

Sourlas

Pavlou

2017

2017 29th International Teletraffic Congress (ITC 29)

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Abstract-In this paper, we investigate the provision of a new form of resilience, namely information resilience -targeting reliable communication of information under normal and adverse network conditions. We harness the power and flexibility of information-centric networking (ICN) paradigm where content are named and can be explicitly identified as opposed to the current host-centric Internet. Using ICN principles, a new modularity-based information caching approach is proposed that leverages the concept of modularity such that information reachability and persistency are enhanced especially under perturbed network scenarios, e.g., network failures due to natural disasters or network under malicious attacks. The main idea of our proposal is to exploit the better connectivity of nodes within certain community construct in a network to provide higher information diversity, and thus allow potential access to a higher number of information objects even under various network dynamics. We conduct extensive simulations based on both real and model network topologies and show that our proposal can significantly increase request satisfaction ratios under highly dynamic network scenarios (i.e., network under multiple perturbations) across different system parameters.

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A survey of information-centric networking

Cited by 1,413 publications

References 10 publications

Information-Centric Networking: Baseline Scenarios

Information-Centric Networking: Baseline Scenarios

ccnSim: An highly scalable CCN simulator

Providing Information Resilience Through Modularity-Based Caching in Perturbed Information-Centric Networks

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