A hyper-heuristic for adaptive scheduling in computational grids

In this paper we present the design and implementation of an hyper-heuristic for efficiently scheduling independent jobs in computational grids. An efficient scheduling of jobs to grid resources depends on many parameters, among others, the characteristics of the resources and jobs (such as computin...

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Autor: Xhafa Xhafa, Fatos|||0000-0001-6569-5497
Tipo de recurso: artículo
Fecha de publicación:2007
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/129991
Acceso en línea:https://hdl.handle.net/2117/129991
Access Level:acceso abierto
Palabra clave:Computational grids (Computer systems)
Grid computing
Resource allocation
Scheduling
Computació distribuïda
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes
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oai_identifier_str oai:upcommons.upc.edu:2117/129991
network_acronym_str ES
network_name_str España
spelling A hyper-heuristic for adaptive scheduling in computational grids Xhafa Xhafa, Fatos|||0000-0001-6569-5497 Computational grids (Computer systems) Grid computing Resource allocation Scheduling Computació distribuïda Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes In this paper we present the design and implementation of an hyper-heuristic for efficiently scheduling independent jobs in computational grids. An efficient scheduling of jobs to grid resources depends on many parameters, among others, the characteristics of the resources and jobs (such as computing capacity, consistency of computing, workload, etc.). Moreover, these characteristics change over time due to the dynamic nature of grid environment, therefore the planning of jobs to resources should be adaptively done. Existing ad hoc scheduling methods (batch and immediate mode) have shown their efficacy for certain types of resource and job characteristics. However, as stand alone methods, they are not able to produce the best planning of jobs to resources for different types of Grid resources and job characteristics. In this work we have designed and implemented a hyper-heuristic that uses a set of ad hoc (immediate and batch mode) scheduling methods to provide the scheduling of jobs to Grid resources according to the Grid and job characteristics. The hyper-heuristic is a high level algorithm, which examines the state and characteristics of the Grid system (jobs and resources), and selects and applies the ad hoc method that yields the best planning of jobs. The resulting hyper-heuristic based scheduler can be thus used to develop network-aware applications that need efficient planning of jobs to resources. The hyper-heuristic has been tested and evaluated in a dynamic setting through a prototype of a Grid simulator. The experimental evaluation showed the usefulness of the hyper-heuristic for planning of jobs to resources as compared to planning without knowledge of the resource and job characteristics. Peer Reviewed https://hdl.handle.net/2117/129991
title A hyper-heuristic for adaptive scheduling in computational grids
spellingShingle A hyper-heuristic for adaptive scheduling in computational grids
Xhafa Xhafa, Fatos|||0000-0001-6569-5497
Computational grids (Computer systems)
Grid computing
Resource allocation
Scheduling
Computació distribuïda
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes
title_short A hyper-heuristic for adaptive scheduling in computational grids
title_full A hyper-heuristic for adaptive scheduling in computational grids
title_fullStr A hyper-heuristic for adaptive scheduling in computational grids
title_full_unstemmed A hyper-heuristic for adaptive scheduling in computational grids
title_sort A hyper-heuristic for adaptive scheduling in computational grids
author Xhafa Xhafa, Fatos|||0000-0001-6569-5497
author_facet Xhafa Xhafa, Fatos|||0000-0001-6569-5497
author_role author
topic Computational grids (Computer systems)
Grid computing
Resource allocation
Scheduling
Computació distribuïda
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes
topic_facet Computational grids (Computer systems)
Grid computing
Resource allocation
Scheduling
Computació distribuïda
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes
description In this paper we present the design and implementation of an hyper-heuristic for efficiently scheduling independent jobs in computational grids. An efficient scheduling of jobs to grid resources depends on many parameters, among others, the characteristics of the resources and jobs (such as computing capacity, consistency of computing, workload, etc.). Moreover, these characteristics change over time due to the dynamic nature of grid environment, therefore the planning of jobs to resources should be adaptively done. Existing ad hoc scheduling methods (batch and immediate mode) have shown their efficacy for certain types of resource and job characteristics. However, as stand alone methods, they are not able to produce the best planning of jobs to resources for different types of Grid resources and job characteristics. In this work we have designed and implemented a hyper-heuristic that uses a set of ad hoc (immediate and batch mode) scheduling methods to provide the scheduling of jobs to Grid resources according to the Grid and job characteristics. The hyper-heuristic is a high level algorithm, which examines the state and characteristics of the Grid system (jobs and resources), and selects and applies the ad hoc method that yields the best planning of jobs. The resulting hyper-heuristic based scheduler can be thus used to develop network-aware applications that need efficient planning of jobs to resources. The hyper-heuristic has been tested and evaluated in a dynamic setting through a prototype of a Grid simulator. The experimental evaluation showed the usefulness of the hyper-heuristic for planning of jobs to resources as compared to planning without knowledge of the resource and job characteristics.
publishDate 2007
format article
url https://hdl.handle.net/2117/129991
language eng
eu_rights_str_mv openAccess
institution Universitat Politècnica de Catalunya (UPC)
collection UPCommons. Portal del coneixement obert de la UPC
reponame_str UPCommons. Portal del coneixement obert de la UPC
instname_str Universitat Politècnica de Catalunya (UPC)
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publishDateSort 2007
author_browse Xhafa Xhafa, Fatos|||0000-0001-6569-5497
score 6,9303427

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