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Título:
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A static benchmarking for grid scheduling problems
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Autor/a:
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Xhafa Xhafa, Fatos; Barolli, Leonard; Gonzalez S, Juan Antonio; Jura, Pawel
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
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Abstract:
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Analysis of algorithms for Grid computing systems before deployment in real Grid infrastructures is an important issue in Grid computing domain. Due to the complexity of real Grid systems, assessing performance analysis of optimization algorithms such as scheduling algorithms, is in general difficult, costly and time consuming. Benchmarking and simulation are two most used alternatives for analyzing optimization algorithms in Grid systems before deployment. In this paper we present a static benchmarking for scheduling problems in Grid systems. The benchmarking has been generated using the HyperSim-G Grid simulator and captures several types of Grid systems based on combinations of different machine and task types. Instances have six different sizes ranging from tiny (32 machines/512 tasks) to extra large size (1024 machines/16384 tasks) and are grouped according to machine and task types. The benchmark suite, consisting of about 720 instances, is offered through a web page |
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Abstract:
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Peer Reviewed |
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Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
-Computational grids (Computer systems)
-Mathematical optimization
-Job shop scheduling
-Scheduling algorithm
-Benchmark testing
-Algorithm design and analysis
-Processor scheduling
-Performance analysis
-Mesh generation
-Computació distribuïda
-Optimització matemàtica |
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Derechos:
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Tipo de documento:
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Artículo - Versión publicada
Objeto de conferencia |
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Editor:
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Institute of Electrical and Electronics Engineers (IEEE)
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Compartir:
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