Work

A Vectorised Packing Algorithm for Efficient Generation of Custom Traffic Matrices

Year: 2023

Type: preprint

Abstract: We propose a new algorithm for generating custom network traffic matrices which achieves 13x, 38x, and 70x faster generation times than prior work on networks with 64, 256, and 1024 nodes respectively.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2302.09970

Authors: Parsonson, Christoper W. F., Benjamin, Joshua L., Zervas, Georgios

Institution: University College London

Language: English

Topic: Network Traffic and Congestion Control

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: HORIZON EUROPE Framework Programme, Engineering and Physical Sciences Research Council

Awards: OptoCloud: Ultra-fast optically interconnected heterogeneous Data Centers, Photonically-synthesized Digital-to-Analogue Conversion, G453597767, G492985374, Transforming networks - building an intelligent optical infrastructure (TRANSNET), G64284825, Distributed Quantum Computing and Applications, G7966754079, EPSRC Centre for Doctoral Training in Integrated Photonic and Electronic Systems

OpenAlex ID: W4321471685

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