Experimental Evaluation of Hash Function Performance on Embedded Devices

Fritter, Matthew; Ould-Khessal, Nadir; Fazackerley, Scott; Lawrence, Ramon

doi:10.1109/ccece.2018.8447870

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…One of the important aspects of the proposed architecture is the mechanism that addresses the content-identification. We propose to utilize hash functions [ 49 ] for content-identification. Hash functions perform the mapping between the given data and hash of a specific length.…”

Section: Proposed Distributed Architecture and Clustering Algorithmentioning

confidence: 99%

“…The size/length of the output of a hash function does not depend on the length of the input. Hash can be regarded as a ”signature” for a given text [ 49 , 50 , 51 ]. One of the major applications of hash functions lies in the field of multimedia broadcast networks, as a content identifier [ 49 , 50 , 51 ].…”

Section: Proposed Distributed Architecture and Clustering Algorithmentioning

confidence: 99%

“…Hash can be regarded as a ”signature” for a given text [ 49 , 50 , 51 ]. One of the major applications of hash functions lies in the field of multimedia broadcast networks, as a content identifier [ 49 , 50 , 51 ]. The hash function aids the network by providing content identification to easily determine which content has been broadcasted, timing information, and to what station.…”

Section: Proposed Distributed Architecture and Clustering Algorithmentioning

confidence: 99%

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A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks

Aslam

Alam

Hasan

et al. 2020

Sensors

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Next generation cellular systems need efficient content-distribution schemes. Content-sharing via Device-to-Device (D2D) clustered networks has emerged as a popular approach for alleviating the burden on the cellular network. In this article, we utilize Content-Centric Networking and Network Virtualization to propose a distributed architecture, that supports efficient content delivery. We propose to use clustering at the user level for content-distribution. A weighted multifactor clustering algorithm is proposed for grouping the D2D User Equipment (DUEs) sharing a common interest. The proposed algorithm is evaluated in terms of energy efficiency, area spectral efficiency, and throughput. The effect of the number of clusters on these performance parameters is also discussed. The proposed algorithm has been further modified to allow for a tradeoff between fairness and other performance parameters. A comprehensive simulation study demonstrates that the proposed clustering algorithm is more flexible and outperforms several classical and state-of-the-art algorithms.

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Section: Proposed Distributed Architecture and Clustering Algorithmentioning

confidence: 99%