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A dynamic and reliability-driven scheduling algorithm for parallel real-time jobs executing on heterogeneous clusters

Autor
XIAO QIN1 ; HONG JIANG2
[1] Department of Computer Science, New Mexico Institute of Mining and Technology, 801 Leroy Place, Socorro, NM 87801-4796, United States
[2] Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588-0115, United States
Fuente

Journal of parallel and distributed computing (Print). 2005, Vol 65, Num 8, pp 885-900, 16 p ; ref : 43 ref

ISSN
0743-7315
Campo Científico
Computer science; Mathematics
Editor
Elsevier, San Diego, CA
País de la publicación
United States
Tipo de documento
Article
Idioma
English
Palabra clave de autor
Cluster computing Dynamic scheduling Heterogeneous clusters Parallel processing Performance evaluation Real-time Reliability cost
Palabra clave (fr)
Algorithme parallèle Calcul réparti Evaluation performance Graphe acyclique Graphe orienté Ordonnancement processeur Programmation dynamique Système réparti Système temps réel Traitement parallèle Coût fiabilité Grappe calculateur
Palabra clave (in)
Parallel algorithm Distributed computing Performance evaluation Acyclic graph Directed graph Processor scheduling Dynamic programming Distributed system Real time system Parallel processing Cluster computing
Palabra clave (es)
Algoritmo paralelo Cálculo repartido Evaluación prestación Grafo acíclico Grafo orientado Programación dinámica Sistema repartido Sistema tiempo real Tratamiento paralelo Racimo calculadura
Clasificación
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B04 Computer systems and distributed systems. User interface

Disciplina
Computer science : theoretical automation and systems
Procedencia
Inist-CNRS
Base de datos
PASCAL
Identificador INIST
16947390

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