Compound popular content caching strategy to enhance the cache management performance in named data networking

Named Data Networking (NDN) is a leading research paradigm for the future Internet architecture. The NDN offers in-network cache which is the most beneficial feature to reduce the difficulties of the location-based Internet paradigm. The objective of cache is to achieve a scalable, effective, and c...

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Main Author:	Naeem, Muhammad Ali
Format:	Thesis
Language:	eng eng eng
Published:	2020
Subjects:	T58.6-58.62 Management information systems
Online Access:	https://etd.uum.edu.my/8628/1/depositpermission_s901161.pdf https://etd.uum.edu.my/8628/2/s901161_01.pdf https://etd.uum.edu.my/8628/3/s901161_references.docx
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id	my-uum-etd.8628
record_format	uketd_dc
spelling	my-uum-etd.86282021-09-12T01:42:58Z Compound popular content caching strategy to enhance the cache management performance in named data networking 2020 Naeem, Muhammad Ali Awang Nor, Shahrudin 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 Named Data Networking (NDN) is a leading research paradigm for the future Internet architecture. The NDN offers in-network cache which is the most beneficial feature to reduce the difficulties of the location-based Internet paradigm. The objective of cache is to achieve a scalable, effective, and consistent distribution of information. However, the main issue which NDN facing is the selection of appropriate router during the content’s transmission that can disrupt the overall network performance. The reason is that how each router takes a decision to the cache which content needs to cache at what location that can enhance the complete caching performance. Therefore, several cache management strategies have been developed. Still, it is not clear which caching strategy is the most ideal for each situation. This study proposes a new cache management strategy named as Compound Popular Content Caching Strategy (CPCCS) to minimize cache redundancy with enhanced diversity ratio and improving the accessibility of cached content by providing short stretch paths. The CPCCS was developed by combining two mechanisms named as Compound Popular Content Selection (CPCS) and Compound Popular Content Caching (CPCC) to differentiate the contents regarding their Interest frequencies using dynamic threshold and to find the best possible caching positions respectively. CPCCS is compared with other NDN-based caching strategies, such as Max-Gain In-network Caching, WAVE popularity-based caching strategy, Hop-based Probabilistic Caching, Leaf Popular Down, Most Popular Cache, and Cache Capacity Aware Caching in a simulation environment. The results show that the CPCCS performs better in which the diversity and cache hit ratio are increased by 34% and 14% respectively. In addition, the redundancy and path stretch are decreased by 44% and 46% respectively. The outcomes showed that the CPCCS have achieved enhanced caching performance with respect to different cache size (1GB to 10GB) and simulation parameters than other caching strategies. Thus, CPCCS can be applicable in future for the NDN-based emerging technologies such as Internet of Things, fog and edge computing. 2020 Thesis https://etd.uum.edu.my/8628/ https://etd.uum.edu.my/8628/1/depositpermission_s901161.pdf text eng staffonly https://etd.uum.edu.my/8628/2/s901161_01.pdf text eng public https://etd.uum.edu.my/8628/3/s901161_references.docx text eng public other doctoral Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng eng
advisor	Awang Nor, Shahrudin Hassan, Suhaidi
topic	T58.6-58.62 Management information systems
spellingShingle	T58.6-58.62 Management information systems Naeem, Muhammad Ali Compound popular content caching strategy to enhance the cache management performance in named data networking
description	Named Data Networking (NDN) is a leading research paradigm for the future Internet architecture. The NDN offers in-network cache which is the most beneficial feature to reduce the difficulties of the location-based Internet paradigm. The objective of cache is to achieve a scalable, effective, and consistent distribution of information. However, the main issue which NDN facing is the selection of appropriate router during the content’s transmission that can disrupt the overall network performance. The reason is that how each router takes a decision to the cache which content needs to cache at what location that can enhance the complete caching performance. Therefore, several cache management strategies have been developed. Still, it is not clear which caching strategy is the most ideal for each situation. This study proposes a new cache management strategy named as Compound Popular Content Caching Strategy (CPCCS) to minimize cache redundancy with enhanced diversity ratio and improving the accessibility of cached content by providing short stretch paths. The CPCCS was developed by combining two mechanisms named as Compound Popular Content Selection (CPCS) and Compound Popular Content Caching (CPCC) to differentiate the contents regarding their Interest frequencies using dynamic threshold and to find the best possible caching positions respectively. CPCCS is compared with other NDN-based caching strategies, such as Max-Gain In-network Caching, WAVE popularity-based caching strategy, Hop-based Probabilistic Caching, Leaf Popular Down, Most Popular Cache, and Cache Capacity Aware Caching in a simulation environment. The results show that the CPCCS performs better in which the diversity and cache hit ratio are increased by 34% and 14% respectively. In addition, the redundancy and path stretch are decreased by 44% and 46% respectively. The outcomes showed that the CPCCS have achieved enhanced caching performance with respect to different cache size (1GB to 10GB) and simulation parameters than other caching strategies. Thus, CPCCS can be applicable in future for the NDN-based emerging technologies such as Internet of Things, fog and edge computing.
format	Thesis
qualification_name	other
qualification_level	Doctorate
author	Naeem, Muhammad Ali
author_facet	Naeem, Muhammad Ali
author_sort	Naeem, Muhammad Ali
title	Compound popular content caching strategy to enhance the cache management performance in named data networking
title_short	Compound popular content caching strategy to enhance the cache management performance in named data networking
title_full	Compound popular content caching strategy to enhance the cache management performance in named data networking
title_fullStr	Compound popular content caching strategy to enhance the cache management performance in named data networking
title_full_unstemmed	Compound popular content caching strategy to enhance the cache management performance in named data networking
title_sort	compound popular content caching strategy to enhance the cache management performance in named data networking
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2020
url	https://etd.uum.edu.my/8628/1/depositpermission_s901161.pdf https://etd.uum.edu.my/8628/2/s901161_01.pdf https://etd.uum.edu.my/8628/3/s901161_references.docx
_version_	1747828425983262720

Compound popular content caching strategy to enhance the cache management performance in named data networking

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