Optimal Forwarding in Named Data Networking

Pakle, Ganesh; Manthalkar, Ramchandra

doi:10.1007/978-981-13-1906-8_4

Cited by 2 publications

(1 citation statement)

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“…Whenever Data packet reaches any CCN router, the latter will search its PIT for the CCN name in order to retrieve its associated port number (which already requested this data) and send this Data packet back through this port [6]. Later, CCN router will remove this CCN name from its PIT because it has been satisfied [7]. So, when Interest packets reach the CCN router interests are recorded into PIT and removed from it when Data packets arrive.…”

Section: Introductionmentioning

confidence: 99%

Designing Cuckoo Based Pending Interest Table for CCN Networks

Alhisnawi¹,

Abdulhassan

2021

Int. J. Interact. Mob. Technol.

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<p class="JESTECAbstract">Content Centric Networking (CCN) is a modern architecture that got wide attention in the current researches as a substitutional for the current IP-based architecture. Many studies have been investigated on this novel architecture but only little of them focused on Pending Interest Table (PIT) which is very important component in every CCN router. PIT has fundamental role in packet processing in both upstream process (Interest packets) and downstream process (Data packets). PIT must be fast enough in order to not become an obstruction in the packet processing and also it must be big enough to save a lot of incoming information. In this paper, we suggest a new PIT design and implementation named CF-PIT for CCN router. Our PIT design depends on modifying and utilizing an approximate data structure called Cuckoo filter (CF). Cuckoo filter has ideal characteristics like: high insertion/query/deletion performance, acceptable storage demands and false positive probability which make it with our modification convenient for PIT implementation. The experimental results showed that our CF-PIT design has high performance in different side of views which make it very suitable to be implemented on CCN routers.</p>

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Section: Introductionmentioning

confidence: 99%