A hybrid rate control mechanism for forwarding and congestion control in named data network

Named Data Networking (NDN) is an emerging Internet architecture that employs a pull-based, in-path caching, hop-by-hop, and multi-path transport architecture. Therefore, transport algorithms which use conventional paradigms would not work correctly in the NDN environment, since the content source l...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखक: Alsamman, Mohammed Gamal
स्वरूप: थीसिस
भाषा:अंग्रेज़ी
अंग्रेज़ी
अंग्रेज़ी
प्रकाशित: 2020
विषय:
ऑनलाइन पहुंच:https://etd.uum.edu.my/8852/1/depositpermission_s95138.pdf
https://etd.uum.edu.my/8852/2/s95138_01.pdf
https://etd.uum.edu.my/8852/3/s95138_references.docx
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author Alsamman, Mohammed Gamal
author_facet Alsamman, Mohammed Gamal
author_sort Alsamman, Mohammed Gamal
description Named Data Networking (NDN) is an emerging Internet architecture that employs a pull-based, in-path caching, hop-by-hop, and multi-path transport architecture. Therefore, transport algorithms which use conventional paradigms would not work correctly in the NDN environment, since the content source location frequently changes. These changes raise forwarding and congestion control problems, and they directly affect the link utilization, fairness, and stability of the network. This study proposes a Hybrid Rate Control Mechanism (HRCM) to control the forwarding rate and link congestion to enhance network scalability, stability, and fairness performance. HRCM consists of three schemes namely Shaping Deficit Weight Round Robin (SDWRR), Queue-delay Parallel Multipath (QPM), and Explicit Control Agile-based conservative window adaptation (EC-Agile). The SDWRR scheme is scheduling different flows in router interfaces by fairly detecting and notifying the link congestion. The QPM scheme has been designed to forward Interest packets to all available paths that utilize idle bandwidths. The EC-Agile scheme controls forwarding rates by examining each packet received. The proposed HRCM was evaluated by comparing it with two different mechanisms, namely Practical Congestion Control (PCON) and Hop-by-hop Interest Shaping (HIS) through ndnSIM simulation. The findings show that HRCM enhances the forwarding rate and fairness. HRCM outperforms HIS and PCON in terms of throughput by 75%, delay 20%, queue length 55%, link utilization 41%, fairness 20%, and download time 20%. The proposed HRCM contributes to providing an enhanced forwarding rate and fairness in NDN with different types of traffic flow. Thus, the SDWRR, QPM, and EC-Agile schemes can be used in monitoring, controlling, and managing congestion and forwarding for the Internet of the future.
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spelling oai:etd.uum.edu.my:88522021-11-24T01:25:51Z https://etd.uum.edu.my/8852/ A hybrid rate control mechanism for forwarding and congestion control in named data network Alsamman, Mohammed Gamal TK7885-7895 Computer engineering. Computer hardware Named Data Networking (NDN) is an emerging Internet architecture that employs a pull-based, in-path caching, hop-by-hop, and multi-path transport architecture. Therefore, transport algorithms which use conventional paradigms would not work correctly in the NDN environment, since the content source location frequently changes. These changes raise forwarding and congestion control problems, and they directly affect the link utilization, fairness, and stability of the network. This study proposes a Hybrid Rate Control Mechanism (HRCM) to control the forwarding rate and link congestion to enhance network scalability, stability, and fairness performance. HRCM consists of three schemes namely Shaping Deficit Weight Round Robin (SDWRR), Queue-delay Parallel Multipath (QPM), and Explicit Control Agile-based conservative window adaptation (EC-Agile). The SDWRR scheme is scheduling different flows in router interfaces by fairly detecting and notifying the link congestion. The QPM scheme has been designed to forward Interest packets to all available paths that utilize idle bandwidths. The EC-Agile scheme controls forwarding rates by examining each packet received. The proposed HRCM was evaluated by comparing it with two different mechanisms, namely Practical Congestion Control (PCON) and Hop-by-hop Interest Shaping (HIS) through ndnSIM simulation. The findings show that HRCM enhances the forwarding rate and fairness. HRCM outperforms HIS and PCON in terms of throughput by 75%, delay 20%, queue length 55%, link utilization 41%, fairness 20%, and download time 20%. The proposed HRCM contributes to providing an enhanced forwarding rate and fairness in NDN with different types of traffic flow. Thus, the SDWRR, QPM, and EC-Agile schemes can be used in monitoring, controlling, and managing congestion and forwarding for the Internet of the future. 2020 Thesis NonPeerReviewed text en https://etd.uum.edu.my/8852/1/depositpermission_s95138.pdf text en https://etd.uum.edu.my/8852/2/s95138_01.pdf text en https://etd.uum.edu.my/8852/3/s95138_references.docx Alsamman, Mohammed Gamal (2020) A hybrid rate control mechanism for forwarding and congestion control in named data network. Doctoral thesis, Universiti Utara Malaysia.
spellingShingle TK7885-7895 Computer engineering. Computer hardware
Alsamman, Mohammed Gamal
A hybrid rate control mechanism for forwarding and congestion control in named data network
title A hybrid rate control mechanism for forwarding and congestion control in named data network
title_full A hybrid rate control mechanism for forwarding and congestion control in named data network
title_fullStr A hybrid rate control mechanism for forwarding and congestion control in named data network
title_full_unstemmed A hybrid rate control mechanism for forwarding and congestion control in named data network
title_short A hybrid rate control mechanism for forwarding and congestion control in named data network
title_sort hybrid rate control mechanism for forwarding and congestion control in named data network
topic TK7885-7895 Computer engineering. Computer hardware
url https://etd.uum.edu.my/8852/1/depositpermission_s95138.pdf
https://etd.uum.edu.my/8852/2/s95138_01.pdf
https://etd.uum.edu.my/8852/3/s95138_references.docx
url-record https://etd.uum.edu.my/8852/
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