Evaluating CCN multi-path interest forwarding strategies

Rossini, Giuseppe; Rossi, Dario

doi:10.1016/j.comcom.2013.01.008

Cited by 73 publications

(53 citation statements)

References 19 publications

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“…When a Data packet arrives at a caching node, it uses a hash function to determine in which of its neighbours (including itself) to cache the packet. However, in [16], the authors argue that explicit coordination policies would likely violate ICN line of speed constraint, while simple randomized caching policies could perform almost as well as more complex ones.…”

Section: Caching Strategies and Replacement Policiesmentioning

confidence: 99%

See 1 more Smart Citation

On the Performance of Caching and Forwarding in Information-Centric Networking for the IoT

Hail

Amadeo

Molinaro

et al. 2015

Lecture Notes in Computer Science

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Abstract. Information-Centric Networking (ICN) is a communication paradigm for the future Internet that matches the pattern of informationoriented applications and provides in-network caching. Thanks to such properties, ICN has been recently considered as a solution for the IoT. However, IoT shows challenging features: many devices are resourceconstrained and applications usually originate transient information. As a consequence, ICN-IoT solutions requires new design choices. Among them, it is crucial understanding if constrained devices can successfully implement ICN caching and forwarding functionalities, and what are the delivery performance. To provide hints in such a context, in this paper we evaluate the performance of different caching/replacement policies and forwarding strategies in an ICN-IoT wireless network. A novel forwarding scheme is also defined to reduce the load on constrained devices. Simulation results show that the devised caching and forwarding operations are beneficial for delivery performance: they reduce the traffic volume and save the devices' energy resources.

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Section: Caching Strategies and Replacement Policiesmentioning

confidence: 99%

“…LFU is computationally more expensive than LRU, which is therefore considered for line speed operations. To maintain ICN simple and scalable, the random replacement, which is agnostic of the frequency and timing of requests, is sometimes preferred [16].…”

Section: Caching Strategies and Replacement Policiesmentioning

confidence: 99%

On the Performance of Caching and Forwarding in Information-Centric Networking for the IoT

Hail

Amadeo

Molinaro

et al. 2015

Lecture Notes in Computer Science

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show abstract

“…To make comparison we need to obtain the response time for 20KB data in the proposed architecture. To calculate the response time, we used the reference from the cache hit data obtained from [38]. The experiment by them showed the cache hit ratio for different cache replacement and cache decision policy.…”

Section: Simulation Results and Findingmentioning

confidence: 99%

A novel architecture of CCN for better security and applicability

Sharma¹,

Kim²

2017

Journal of the Korea Society for Simulation

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Information Centric Networking is changing the way how content is being transmitted. The shift from IP and host based networking towards content based networking scenario is growing day by day. Many researches have been done about different frameworks of ICN. Caching is an important part of ICN and many researchers have also proposed different ways for caching the data. With caching of data in intermediate devices like the network devices as well the user devices in some cases, the issue of content security as well as the role of the content producer becomes a major concern. A modified ICN architecture based on the current Content Centric Networking (CCN) model is presented in the paper. The architecture mainly focuses on involving the content producer in content delivery in the real time. The proposed architecture provides better security aspects for the CCN architecture. Apart from security the paper will also consider the issue of applicability of CCN architecture to replace the TCP/IP based architecture. The efficiency of the proposed architecture is compared with the previous CCN architecture based on the response time for a content delivery which shows very comparable level of efficiency. The paper than analyzes different beneficial aspects of the proposed architecture over the current architecture.

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“…We leave the investigation of the most complex arbitrary network topologies to future work. The properties of the underlying topologies are listed in Table 1, which are defined as follows: In spite of various arguments and experiments, there is no typically and properly justification for NDN parameters and they have specified based on authors' experiences and designs [6]. Therefore, the applied control parameters of the ACCPndn are iteratively learned under various network environments to make a real data communication in considered topologies.…”

Section: Evaluation Setupmentioning

confidence: 99%

“…Information-Centric Networking (ICN) [1,2,3] has been proposed as a solution for a viable and vital replacement for the current IP-based Internet due to the fundamental limitations of the Internet in supporting today's content-oriented services [4,5,6,7]. Named Data Networking (NDN) [8] is a prominent example and ongoing research effort of ICN design.…”

Section: Introductionmentioning

confidence: 99%

ACCPndn: Adaptive Congestion Control Protocol in Named Data Networking by learning capacities using optimized Time-Lagged Feedforward Neural Network

Karami

2015

Journal of Network and Computer Applications

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Named Data Networking (NDN) is a promising network architecture being considered as a possible replacement for the current IP-based Internet infrastructure. However, NDN is subject to congestion when the number of data packets that reach one or various routers in a certain period of time is so high than its queue gets overflowed. To address this problem many congestion control protocols have been proposed in literature which, however, they are highly sensitive to their control parameters as well as unable to predict congestion traffic well enough in advance. This paper develops an Adaptive Congestion Control Protocol in NDN (ACCPndn) by learning capacities in two phases to control congestion traffics before they start impacting the network performance. In the first phase -adaptive trainingwe propose a Time-Lagged Feedforward Network (TLFN) optimized by hybridization of particle swarm optimization and genetic algorithm to predict the source of congestion together with the amount of congestion. In the second phase -fuzzy avoidance-we employ a non-linear fuzzy logic-based control system to make a proactive decision based on the outcomes of first phase in each router per interface to control and/or prevent packet drop well enough in advance. Extensive simulations and results show that ACCPndn sufficiently satisfies the applied performance metrics and outperforms two previous proposals such as NACK and HoBHIS in terms of the minimal packet drop and highutilization (retrying alternative paths) in bottleneck links to mitigate congestion traffics.

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Evaluating CCN multi-path interest forwarding strategies

Cited by 73 publications

References 19 publications

On the Performance of Caching and Forwarding in Information-Centric Networking for the IoT

On the Performance of Caching and Forwarding in Information-Centric Networking for the IoT

A novel architecture of CCN for better security and applicability

ACCPndn: Adaptive Congestion Control Protocol in Named Data Networking by learning capacities using optimized Time-Lagged Feedforward Neural Network

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