Treffer: Multi-source task scheduling in grid computing environment using linear programming : NOVEL ARCHITECTURES AND ACCELERATORS FOR HIGH PERFORMANCE COMPUTING

Title:
Multi-source task scheduling in grid computing environment using linear programming : NOVEL ARCHITECTURES AND ACCELERATORS FOR HIGH PERFORMANCE COMPUTING
Authors:
MURUGESAN, G, CHELLAPPAN, C
Source:
International journal of computational science and engineering (Print). 9(1-2):80-85
Publisher Information:
Genève: Inderscience Publishers, 2014.
Publication Year:
2014
Physical Description:
print, 3/4 p
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Traitement des langages et microprogrammation, Language processing and microprogramming, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Allocation ressource, Resource allocation, Asignación recurso, Calcul réparti, Distributed computing, Cálculo repartido, Capacité canal, Channel capacity, Capacidad canal, Charge travail, Workload, Carga trabajo, Disponibilité, Availability, Disponibilidad, Division travail, Labour division, División trabajo, Economie, Economy, Economía, Evaluation performance, Performance evaluation, Evaluación prestación, Gestion réseau, Network management, Gestión red, Gestion tâche, Task scheduling, Gestión labor, Grille, Grid, Rejilla, Haute performance, High performance, Alto rendimiento, Modélisation, Modeling, Modelización, Multiplicité, Multiplicity, Multiplicidad, Programmation linéaire, Linear programming, Programación lineal, Temps exécution, Execution time, Tiempo ejecución, Ordonnancement processeur, Processor scheduling, Planificación del procesador, economy model, grid computing, multiple source, resource allocation, task scheduling
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science and Engineering, Anna University, Chennai - 600 025, Tamilnadu, India
ISSN:
1742-7185
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28764281
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.28764281
Database:
PASCAL Archive

Weitere Informationen

In grid computing environment the workload can be submitted by various grid users. Allocating a load to the resources from various grid users is a challenging task in grid scheduling process. So we need a better resource allocation framework to schedule the tasks from various sources to the dynamic resources. This paper introduces a new divisible load scheduling framework to map the task to the distributed resources in grid computing environment. We have developed a mathematical model to allocate tasks to resource when the task is submitted by various grid users (sources) with the aim of minimising the completion time of scheduling process with satisfying the budget allotted by the grid user based on divisible load theory. This model helps to estimate the resource usage cost of each source under the fluctuation of resource availability and the performance evaluation of three resource homogeneous resources and the link capacity is presented.