Serial and Parallel Implementations of Hybrid Fluid Model of Information Flows in Networks with Complex Topology

Serial and Parallel Implementations of Hybrid Fluid Model of Information Flows in Networks with Complex Topology

This paper is dedicated to the issue of modeling information flows in networks with complex topologies and it describes a comparison of the sequential (written in the MATLAB language) and parallel (based on GPGPU technology) software implementations of the hybrid fluid model (HFM) of Internet traffi...

Full description

Bibliographic Details
Main Authors: Basavin Dmitry, Porshnev Sergey
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:ITM Web of Conferences
Online Access:https://doi.org/10.1051/itmconf/20171004001
id doaj-8d786efa1c094d52a1d4abc16f38eba6
record_format Article
spelling doaj-8d786efa1c094d52a1d4abc16f38eba62021-02-02T07:52:32ZengEDP SciencesITM Web of Conferences2271-20972017-01-01100400110.1051/itmconf/20171004001itmconf_sa2017_04001Serial and Parallel Implementations of Hybrid Fluid Model of Information Flows in Networks with Complex TopologyBasavin Dmitry0Porshnev Sergey1Ural Federal University named after first President of Russia B.N. YeltsinUral Federal University named after first President of Russia B.N. YeltsinThis paper is dedicated to the issue of modeling information flows in networks with complex topologies and it describes a comparison of the sequential (written in the MATLAB language) and parallel (based on GPGPU technology) software implementations of the hybrid fluid model (HFM) of Internet traffic. Obtained performance estimates of both software implementations indicate a higher performance of parallel software implementation HFM. The directions of further research, the results of which will be the basis for the later development of parallel software implementation HFM are proposed.https://doi.org/10.1051/itmconf/20171004001
collection DOAJ
language English
format Article
sources DOAJ
author Basavin Dmitry
Porshnev Sergey
spellingShingle Basavin Dmitry
Porshnev Sergey
Serial and Parallel Implementations of Hybrid Fluid Model of Information Flows in Networks with Complex Topology
ITM Web of Conferences
author_facet Basavin Dmitry
Porshnev Sergey
author_sort Basavin Dmitry
title Serial and Parallel Implementations of Hybrid Fluid Model of Information Flows in Networks with Complex Topology
title_short Serial and Parallel Implementations of Hybrid Fluid Model of Information Flows in Networks with Complex Topology
title_full Serial and Parallel Implementations of Hybrid Fluid Model of Information Flows in Networks with Complex Topology
title_fullStr Serial and Parallel Implementations of Hybrid Fluid Model of Information Flows in Networks with Complex Topology
title_full_unstemmed Serial and Parallel Implementations of Hybrid Fluid Model of Information Flows in Networks with Complex Topology
title_sort serial and parallel implementations of hybrid fluid model of information flows in networks with complex topology
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2017-01-01
description This paper is dedicated to the issue of modeling information flows in networks with complex topologies and it describes a comparison of the sequential (written in the MATLAB language) and parallel (based on GPGPU technology) software implementations of the hybrid fluid model (HFM) of Internet traffic. Obtained performance estimates of both software implementations indicate a higher performance of parallel software implementation HFM. The directions of further research, the results of which will be the basis for the later development of parallel software implementation HFM are proposed.
url https://doi.org/10.1051/itmconf/20171004001
work_keys_str_mv AT basavindmitry serialandparallelimplementationsofhybridfluidmodelofinformationflowsinnetworkswithcomplextopology
AT porshnevsergey serialandparallelimplementationsofhybridfluidmodelofinformationflowsinnetworkswithcomplextopology
_version_ 1724298435797975040

Similar Items