Content storage effect on the named data network traffic load

Yovita, Leanna Vidya; Syambas, Nana Rachmana

doi:10.1109/tssa.2017.8272941

Cited by 15 publications

(4 citation statements)

References 2 publications

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“…Yovita et al. [12] studied the change in the performance of the network due to the content storage size and requested interest packets by the users. The authors configured the Abilene network topology to improve the hit ratio.…”

Section: Related Workmentioning

confidence: 99%

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An optimal content indexing approach for named data networking in software‐defined IoT system

et al. 2022

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The evolution of the Internet of Things (IoT) has increased the number of connected devices in the network. This has shifted the focus from IP‐based network architecture towards content‐centric networking (CCN). CCN eliminates the need for address‐content binding in the conventional IP‐based networks and allows the content to be accessed based on the name instead of the physical location. Named data networking (NDN) is a promising technique that can fulfil the increasing demand for connected devices through the CCN approach. NDN distributes the content on the network and focusses on the security of the content rather than the communication channel. However, the increase in traffic due to the escalation in the number of connected devices can lead to congestion in the network. The content distribution approach on the nodes is generalised and suitable for small networks. In the case of larger networks, an optimal approach is required to decide the optimal location to store the required content. However, a linear search approach is used to search (or lookup) the content in the assigned cache of the NDN node. In this work, the authors have combined the software‐defined networking (SDN) with the NDN approach to overcome the above‐highlighted challenge. Thus, the authors have designed an optimal content storage and indexing approach based on NDN‐SDN coalesce in the IoT ecosystem. The proposed approach includes different phases, (a) a hashing‐based content searching approach is formulated to reduce the look‐up time of the content, (b) a red‐black tree‐based content storage approach is introduced for optimal utilisation of the assigned cache memory of the different NDN nodes, and (c) SDN controller facilitates automated network management and helps to administer the network requirements centrally and locate the content accordingly. The proposed approach was validated through the simulation experiments concerning network delay, packet rate, throughput, and cache hit ratio. The results obtained show the effectiveness of the proposed approach.

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Section: Related Workmentioning

confidence: 99%

“…This work was specific to the vehicular scenario and its applicability in the IoT environment is not validated. Yovita et al [12] studied the change in the performance of the network due to the content storage size and requested interest packets by the users. The authors configured the Abilene network topology to improve the hit ratio.…”

Section: Related Workmentioning

confidence: 99%

An optimal content indexing approach for named data networking in software‐defined IoT system

et al. 2022

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“…The size of the content store affects the delay and number of hops that packets must take to go to consumer [26]. This condition affects the overall network load due to the circulation of data in the network [4], [8]. CS also performs different effect with the various cache policy implemented in the node [27].…”

Section: Content Storagementioning

confidence: 99%

“…This concept has been raised a few years earlier in its research projects and it is named Content-Centric Networking (CCN) originally developed at Xerox's Palo Alto Research Center. It is currently developing into Named Data Network (NDN) initiated by the NSF-Funded Future Internet Architecture Project [4]. This concept replaces the 'where' paradigm to the concept of'what', where the consumer request is no longer addressed to a specific node but it is intended for a certain content [3], [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

Caching on Named Data Network: a Survey and Future Research

Yovita

Syambas

2018

IJECE

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The IP-based system cause inefficient content delivery process. This inefficiency was attempted to be solved with the Content Distribution Network. A replica server is located in a particular location, usually on the edge router that is closest to the user. The user’s request will be served from that replica server. However, caching on Content Distribution Network is inflexible. This system is difficult to support mobility and conditions of dynamic content demand from consumers. We need to shift the paradigm to content-centric. In Named Data Network, data can be placed on the content store on routersthat are closest to the consumer. Caching on Named Data Network must be able to store content dynamically. It should be selectively select content that is eligible to be stored or deleted from the content storage based on certain considerations, e.g. the popularity of content in the local area. This survey paper explains the development of caching techniques on Named Data Network that are classified into main points. The brief explanation of advantages and disadvantages are presented to make it easy to understand. Finally, proposed the open challenge related to the caching mechanism to improve NDN performance.

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