Scalable multicast control-plane for optical packet forwarding engines: A multiway SVRF approach

Jia, Wen-Kang; Chen, Yaw-Chung; Jin, Zhu; Geng, Weihao

doi:10.1016/j.osn.2022.100713

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…However, the advantage of spatial efficiency is at the expense of time efficiency. As the port density increases with the number of entries, the system latency increases due to the limitation of the current bits of inter divider and the high complexity of the algorithm itself, and some paper has been studied regarding the latency at high port densities [17], [19]. In general, we proposed method has high-scalability for big data processing, and highperformance computing as well.…”

Section: Discussionmentioning

confidence: 99%

“…Distinct from BF, the main disadvantage of BF is unable to solve the false positive rate, the lack of sufficient flexibility (only return values for judgment without the corresponding value of element), and the feature of easy insertion but not deletion; while the SVRF method applying CRT [15]. SVRF assigns a unique prime number as a key for each packet and via multiple simple modular operations to calculate the corresponding forwarding port, and SVRF can achieve conflictfree forwarding of packets in the case of enough prime numbers, there is also a lot of research in RNS-based PFEs [16], [17], [18], [19].…”

Section: ) Rdbfmentioning

confidence: 99%

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An RNS-Based NDN Forwarding Plane: Design and Evaluation

Jia

2023

IEEE Access

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Due to the variable length and uniqueness of names in NDN, traditional IP address-based routing and forwarding architecture is no longer suitable for NDN networks. It is still a challenge to design a high-performance forwarding engine to solve the problem of variable name length and uniqueness in NDN. In this article, Residue Number System (RNS) is applied to the routing and forwarding of NDN for the first time, and a new forwarding engine framework based on the RNS is designed. The simulation results show that this method has a significant performance increase in memory space and system latency. At the core-level node, the RNS-based process requires only about 5 percent of Bloom Filter (BF) in terms of memory space and has a 9.8 percent decrease in system latency compared to applying BF (P=1E-08). This method not only achieves less memory usage and reduces the system latency but also fundamentally solves the false positives and has good scalability due to the superiority of the algorithm itself. The proposed work is admirably suited for realizing large-scale NDNs by hardware implementation of NDN routers.INDEX TERMS Named data networking (NDN), packet forwarding engine (PFE), residue number system (RNS), membership querying.

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Section: Discussionmentioning

confidence: 99%

Section: ) Rdbfmentioning

confidence: 99%

An RNS-Based NDN Forwarding Plane: Design and Evaluation

Jia

2023

IEEE Access

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“…Each PFN is associated with a unique ID, beginning from node 1 and incrementing up to the maximum ID of a node. The area as a whole is divided into several sectors based on the network's packet density [17]. The choice of the geographic area is determined by the presence of packets inside the sectors.…”

Section: Introductionmentioning

confidence: 99%

Data Perturbation for Pervasive Edge Computing Environments Using Iterative Randomised Parallel Variable Perturbation in Wireless Sensor Network

Shukur,

et al. 2023

Preprint

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The reduction in the size of Packet Forwarding Nodes (PFNs) is a direct consequence of technological advancements in wireless sensor networks (WSN). Each node has an extra characteristic that results in diminished energy levels. The dispersed PFNs are arranged in a squared cross-sectional area, where each node functions as a Sensing Point (SP) capable of performing diverse applications such as temperature, ambient humidity, sound, and pressure measurements. The packet is partitioned into many fragments, with each fragment being classified as either having an exact or variable length. Each individual packet is sent over numerous Physical Forwarding Nodes (PFNs) on route to the data centre, using the PFNs as the underlying mechanism for transmission. The choice of route forwarding nodes (PFNs) is determined by their respective trust levels. Within the network, designated Packet Forwarding Nodes (PFNs) are strategically positioned to facilitate the delivery of packets to the data centre, ensuring the integrity of the data is preserved throughout the process. The process of selecting certain PFNs involves the calculation of meeting probability, remaining energy, data weight, and security value. The comparative analysis involves evaluating the Iterative Randomised Parallel Variable Perturbation (IRPVP) method against conventional approaches based on various parameters, including delay, link count, resource energy, healthy PFNs, non-healthy PFNs, health ratio computation, remaining energy, control to data ratio, and balancing factor. The results of the simulation demonstrate that the efficacy of the proposed Iterative Randomised Parallel Variable Perturbation (IRPVP) method surpasses that of other traditional algorithms.

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A novel code shift keying for label superimposing in optical label switching

Lü

Qian

et al. 2023

Optical Fiber Technology

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Scalable multicast control-plane for optical packet forwarding engines: A multiway SVRF approach

Cited by 4 publications

References 18 publications

An RNS-Based NDN Forwarding Plane: Design and Evaluation

An RNS-Based NDN Forwarding Plane: Design and Evaluation

Data Perturbation for Pervasive Edge Computing Environments Using Iterative Randomised Parallel Variable Perturbation in Wireless Sensor Network

A novel code shift keying for label superimposing in optical label switching

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