Enhanced caching mechanisms for named data networking

The rapid growth of the Internet has shifted its primary use towards content distribution, prominently through the Named Data Network (NDN). As a pivotal component of Information-Centric Networking (ICN) for the Future Internet, there’s a pressing need to develop effective caching strategies for NDN...

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Main Author:	Taher, Sadaq Jebur
Format:	Thesis
Language:	eng eng
Published:	2023
Subjects:	T58.6-58.62 Management information systems
Online Access:	https://etd.uum.edu.my/10938/1/permission%20deposit-s901915.pdf https://etd.uum.edu.my/10938/2/s901915-01.pdf
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id	my-uum-etd.10938
record_format	uketd_dc
spelling	my-uum-etd.109382024-01-31T07:53:16Z Enhanced caching mechanisms for named data networking 2023 Taher, Sadaq Jebur Ghazali, Osman Hassan, Suhaidi Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts & Sciences T58.6-58.62 Management information systems The rapid growth of the Internet has shifted its primary use towards content distribution, prominently through the Named Data Network (NDN). As a pivotal component of Information-Centric Networking (ICN) for the Future Internet, there’s a pressing need to develop effective caching strategies for NDN. As routers face challenges with memory constraints, this research introduces the Alternative Caching Strategy (ACS) to address content replacement and updating. The ACS integrates two core mechanisms: The Content Replacement Mechanism (CRM) and the Content Update Mechanism (CUM). Both mechanisms employ Fuzzy Set Theory and Fuzzy Multiple Attribute Decision Making (MADM). Specifically, the CRM uses the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), while the CUM adopts the Simple Additive Weighting (SAW) Method. The performance of ACS is evaluated through simulations and compared across various topologies with the conventional First-In-First-Out (FIFO), Least Recently Used (LRU), Least Frequently Used (LFU), and Cache Content Popularity (CCP) strategies. ACS demonstrated significant improvements in hit ratio, throughput, and reduced hops and server load. Specifically, the enhancements in average hit ratio are 43%, 30%, 21%, and 10% sequentially, throughput enhancements are 38%, 23%, 16%, and 9%, and the averages of reduction hops number are 21%, 18%, 14%, and 8%. Finally, in the average server load, ACS registered the highest enhancement with 22% from FIFO and the lowest with 10% from CCP. The ACS presents a promising approach for the future of Internet content distribution, particularly in the realm of IoT technology deployment. 2023 Thesis https://etd.uum.edu.my/10938/ https://etd.uum.edu.my/10938/1/permission%20deposit-s901915.pdf text eng staffonly https://etd.uum.edu.my/10938/2/s901915-01.pdf text eng public other doctoral Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Ghazali, Osman Hassan, Suhaidi
topic	T58.6-58.62 Management information systems
spellingShingle	T58.6-58.62 Management information systems Taher, Sadaq Jebur Enhanced caching mechanisms for named data networking
description	The rapid growth of the Internet has shifted its primary use towards content distribution, prominently through the Named Data Network (NDN). As a pivotal component of Information-Centric Networking (ICN) for the Future Internet, there’s a pressing need to develop effective caching strategies for NDN. As routers face challenges with memory constraints, this research introduces the Alternative Caching Strategy (ACS) to address content replacement and updating. The ACS integrates two core mechanisms: The Content Replacement Mechanism (CRM) and the Content Update Mechanism (CUM). Both mechanisms employ Fuzzy Set Theory and Fuzzy Multiple Attribute Decision Making (MADM). Specifically, the CRM uses the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), while the CUM adopts the Simple Additive Weighting (SAW) Method. The performance of ACS is evaluated through simulations and compared across various topologies with the conventional First-In-First-Out (FIFO), Least Recently Used (LRU), Least Frequently Used (LFU), and Cache Content Popularity (CCP) strategies. ACS demonstrated significant improvements in hit ratio, throughput, and reduced hops and server load. Specifically, the enhancements in average hit ratio are 43%, 30%, 21%, and 10% sequentially, throughput enhancements are 38%, 23%, 16%, and 9%, and the averages of reduction hops number are 21%, 18%, 14%, and 8%. Finally, in the average server load, ACS registered the highest enhancement with 22% from FIFO and the lowest with 10% from CCP. The ACS presents a promising approach for the future of Internet content distribution, particularly in the realm of IoT technology deployment.
format	Thesis
qualification_name	other
qualification_level	Doctorate
author	Taher, Sadaq Jebur
author_facet	Taher, Sadaq Jebur
author_sort	Taher, Sadaq Jebur
title	Enhanced caching mechanisms for named data networking
title_short	Enhanced caching mechanisms for named data networking
title_full	Enhanced caching mechanisms for named data networking
title_fullStr	Enhanced caching mechanisms for named data networking
title_full_unstemmed	Enhanced caching mechanisms for named data networking
title_sort	enhanced caching mechanisms for named data networking
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2023
url	https://etd.uum.edu.my/10938/1/permission%20deposit-s901915.pdf https://etd.uum.edu.my/10938/2/s901915-01.pdf
_version_	1794023793010671616

Enhanced caching mechanisms for named data networking

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