Designing Cuckoo Based Pending Interest Table for CCN Networks
Dublin Core
Title
Designing Cuckoo Based Pending Interest Table for CCN Networks
Description
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.
Creator
Alhisnawi, Mohammad
Abdulhassan, Aladdin
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 07 (2021); pp. 140-153
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2021-04-09
Rights
Copyright (c) 2021 Ahmed J. obaid
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Mohammad Alhisnawi and Aladdin Abdulhassan, Designing Cuckoo Based Pending Interest Table for CCN Networks, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed November 7, 2024, https://igi.indrastra.com/items/show/1962