Grid Matrix: A grid simulation tool to focus on the propagation of resource and monitoring information

Grid Computing proposes unlimited access to different computational resources in a transparent way. High performance execution in grid environments is virtually impossible without timely access to accurate and up-to-date information related to distributed resources and services. Due to inherent diff...

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Publicado: 2012
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00375497_v88_n10_p1233_Mocskos
http://hdl.handle.net/20.500.12110/paper_00375497_v88_n10_p1233_Mocskos
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spelling paper:paper_00375497_v88_n10_p1233_Mocskos2023-06-08T15:02:18Z Grid Matrix: A grid simulation tool to focus on the propagation of resource and monitoring information Grid Computing propagation policies resource discovery resource monitoring simulation Computational resources Distributed resources Global informations Grid environments Grid infrastructures Grid simulations Hierarchical policy Information propagation Modular designs Monitoring information Network topology Resource discovery Resource information Resource monitoring simulation Simulation framework Super-peer TeraGrid User friendly Virtual grids Electric network topology Graphical user interfaces Tools Grid computing Grid Computing proposes unlimited access to different computational resources in a transparent way. High performance execution in grid environments is virtually impossible without timely access to accurate and up-to-date information related to distributed resources and services. Due to inherent difficulty of testing the different information propagation policies in real grid infrastructures, several simulation frameworks arose to help in this issue. In this work, we present Grid Matrix, an extension to one of the most used grid simulation tools (SimGrid2) to focus on the propagation of monitoring and resource information allowing the creation of virtual grid infrastructures. This extension enables GUI editing of network topology and provides the feature of scripting to define simulation details based on the newly developed C++ and Python bindings of SimGrid2 API. As a case study, Grid Matrix was used to test four different policies: hierarchical, super-peer, best-neighbor and random. The simulated scenario consisted of 96 master nodes based on the real Teragrid infrastructure as was publicly available at the time of writing this paper. We introduce three metrics that capture and summarize the information propagation behavior: LIR, GIR and GIV. LIR captures the local behavior quantifying the amount of up-to-date information in each node. GIR evaluates the global information state in the whole network averaging the LIR values, while GIV measures the variability of LIR. In the presented case, the best results in terms of the proposed metrics were attained by the hierarchical policy, followed by super-peer which outperformed random and best-neighbor. The modern and modular design of the scripting features included in Grid Matrix, in close conjunction with the user friendly GUI happened to be a very powerful tool for the evaluation of new propagation policies of resource information. © 2012 The Society for Modeling and Simulation International. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00375497_v88_n10_p1233_Mocskos http://hdl.handle.net/20.500.12110/paper_00375497_v88_n10_p1233_Mocskos
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Grid Computing
propagation policies
resource discovery
resource monitoring
simulation
Computational resources
Distributed resources
Global informations
Grid environments
Grid infrastructures
Grid simulations
Hierarchical policy
Information propagation
Modular designs
Monitoring information
Network topology
Resource discovery
Resource information
Resource monitoring
simulation
Simulation framework
Super-peer
TeraGrid
User friendly
Virtual grids
Electric network topology
Graphical user interfaces
Tools
Grid computing
spellingShingle Grid Computing
propagation policies
resource discovery
resource monitoring
simulation
Computational resources
Distributed resources
Global informations
Grid environments
Grid infrastructures
Grid simulations
Hierarchical policy
Information propagation
Modular designs
Monitoring information
Network topology
Resource discovery
Resource information
Resource monitoring
simulation
Simulation framework
Super-peer
TeraGrid
User friendly
Virtual grids
Electric network topology
Graphical user interfaces
Tools
Grid computing
Grid Matrix: A grid simulation tool to focus on the propagation of resource and monitoring information
topic_facet Grid Computing
propagation policies
resource discovery
resource monitoring
simulation
Computational resources
Distributed resources
Global informations
Grid environments
Grid infrastructures
Grid simulations
Hierarchical policy
Information propagation
Modular designs
Monitoring information
Network topology
Resource discovery
Resource information
Resource monitoring
simulation
Simulation framework
Super-peer
TeraGrid
User friendly
Virtual grids
Electric network topology
Graphical user interfaces
Tools
Grid computing
description Grid Computing proposes unlimited access to different computational resources in a transparent way. High performance execution in grid environments is virtually impossible without timely access to accurate and up-to-date information related to distributed resources and services. Due to inherent difficulty of testing the different information propagation policies in real grid infrastructures, several simulation frameworks arose to help in this issue. In this work, we present Grid Matrix, an extension to one of the most used grid simulation tools (SimGrid2) to focus on the propagation of monitoring and resource information allowing the creation of virtual grid infrastructures. This extension enables GUI editing of network topology and provides the feature of scripting to define simulation details based on the newly developed C++ and Python bindings of SimGrid2 API. As a case study, Grid Matrix was used to test four different policies: hierarchical, super-peer, best-neighbor and random. The simulated scenario consisted of 96 master nodes based on the real Teragrid infrastructure as was publicly available at the time of writing this paper. We introduce three metrics that capture and summarize the information propagation behavior: LIR, GIR and GIV. LIR captures the local behavior quantifying the amount of up-to-date information in each node. GIR evaluates the global information state in the whole network averaging the LIR values, while GIV measures the variability of LIR. In the presented case, the best results in terms of the proposed metrics were attained by the hierarchical policy, followed by super-peer which outperformed random and best-neighbor. The modern and modular design of the scripting features included in Grid Matrix, in close conjunction with the user friendly GUI happened to be a very powerful tool for the evaluation of new propagation policies of resource information. © 2012 The Society for Modeling and Simulation International.
title Grid Matrix: A grid simulation tool to focus on the propagation of resource and monitoring information
title_short Grid Matrix: A grid simulation tool to focus on the propagation of resource and monitoring information
title_full Grid Matrix: A grid simulation tool to focus on the propagation of resource and monitoring information
title_fullStr Grid Matrix: A grid simulation tool to focus on the propagation of resource and monitoring information
title_full_unstemmed Grid Matrix: A grid simulation tool to focus on the propagation of resource and monitoring information
title_sort grid matrix: a grid simulation tool to focus on the propagation of resource and monitoring information
publishDate 2012
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00375497_v88_n10_p1233_Mocskos
http://hdl.handle.net/20.500.12110/paper_00375497_v88_n10_p1233_Mocskos
_version_ 1768542258611617792