Sherlockfog: Finding opportunities for MPI applications in fog and edge computing
The Fog and Edge Computing paradigms have emerged as a solution to limitations of the Cloud Computing model to serve a huge amount of connected devices efficiently. These devices have unused computing power that could be exploited to execute parallel applications. In this work we present SherlockFog...
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_18650929_v796_n_p185_Geier |
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todo:paper_18650929_v796_n_p185_Geier2023-10-03T16:33:36Z Sherlockfog: Finding opportunities for MPI applications in fog and edge computing Geier, M. Mocskos, E. Mocskos E. Nesmachnow S. Benchmarks Distributed systems Fog and edge computing Parallel applications Benchmarking Fog Computational resources Distributed systems Edge computing MPI applications NAS parallel benchmarks Network condition Network topology Parallel application Distributed computer systems The Fog and Edge Computing paradigms have emerged as a solution to limitations of the Cloud Computing model to serve a huge amount of connected devices efficiently. These devices have unused computing power that could be exploited to execute parallel applications. In this work we present SherlockFog, a tool to experiment with parallel applications in Fog and Edge network setups, specially focused on the MPI based applications. We propose a methodology to study feasibility of running parallel applications in Fog or Edge environments. We validate this tool contrasting experimental results with theoretical predictions reaching remarkable agreement between both. We analyze the effect of worsening network conditions for several benchmarks of the MPI version of NAS Parallel Benchmarks on fog-like network topologies. Our results show that this impact is sublinear in some cases, opening up opportunities to use distributed, increasingly ubiquitous computational resources. © Springer International Publishing AG 2018. SER info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_18650929_v796_n_p185_Geier |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Benchmarks Distributed systems Fog and edge computing Parallel applications Benchmarking Fog Computational resources Distributed systems Edge computing MPI applications NAS parallel benchmarks Network condition Network topology Parallel application Distributed computer systems |
spellingShingle |
Benchmarks Distributed systems Fog and edge computing Parallel applications Benchmarking Fog Computational resources Distributed systems Edge computing MPI applications NAS parallel benchmarks Network condition Network topology Parallel application Distributed computer systems Geier, M. Mocskos, E. Mocskos E. Nesmachnow S. Sherlockfog: Finding opportunities for MPI applications in fog and edge computing |
topic_facet |
Benchmarks Distributed systems Fog and edge computing Parallel applications Benchmarking Fog Computational resources Distributed systems Edge computing MPI applications NAS parallel benchmarks Network condition Network topology Parallel application Distributed computer systems |
description |
The Fog and Edge Computing paradigms have emerged as a solution to limitations of the Cloud Computing model to serve a huge amount of connected devices efficiently. These devices have unused computing power that could be exploited to execute parallel applications. In this work we present SherlockFog, a tool to experiment with parallel applications in Fog and Edge network setups, specially focused on the MPI based applications. We propose a methodology to study feasibility of running parallel applications in Fog or Edge environments. We validate this tool contrasting experimental results with theoretical predictions reaching remarkable agreement between both. We analyze the effect of worsening network conditions for several benchmarks of the MPI version of NAS Parallel Benchmarks on fog-like network topologies. Our results show that this impact is sublinear in some cases, opening up opportunities to use distributed, increasingly ubiquitous computational resources. © Springer International Publishing AG 2018. |
format |
SER |
author |
Geier, M. Mocskos, E. Mocskos E. Nesmachnow S. |
author_facet |
Geier, M. Mocskos, E. Mocskos E. Nesmachnow S. |
author_sort |
Geier, M. |
title |
Sherlockfog: Finding opportunities for MPI applications in fog and edge computing |
title_short |
Sherlockfog: Finding opportunities for MPI applications in fog and edge computing |
title_full |
Sherlockfog: Finding opportunities for MPI applications in fog and edge computing |
title_fullStr |
Sherlockfog: Finding opportunities for MPI applications in fog and edge computing |
title_full_unstemmed |
Sherlockfog: Finding opportunities for MPI applications in fog and edge computing |
title_sort |
sherlockfog: finding opportunities for mpi applications in fog and edge computing |
url |
http://hdl.handle.net/20.500.12110/paper_18650929_v796_n_p185_Geier |
work_keys_str_mv |
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