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Authors: Mojahid Saeed Osman ; Malick Ndiaye and Abdulrahim Shamayleh

Affiliation: King Fahd University of Petroleum & Minerals, Saudi Arabia

ISBN: 978-989-758-017-8

Keyword(s): Data Processing, Dynamic Scheduling, Batch Processing.

Related Ontology Subjects/Areas/Topics: Applications ; Mathematical Modeling ; Methodologies and Technologies ; Operational Research ; Pattern Recognition ; Scheduling ; Software Engineering

Abstract: In many operations time factor is a main constraint. Being able to optimally execute them while minimizing the amount of resources used remain a challenge in many business areas. In this paper we propose a model to optimally schedule processing a set of tasks which are part of network of operations on processors that are all capable of handling these tasks. The objective is to process these tasks and operations within a cut-off time while satisfying all the precedence constraints using the minimum number of resources, i.e. processors.

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Paper citation in several formats:
Saeed Osman, M.; Ndiaye , M. and Shamayleh , A. (2014). Dynamic Scheduling for Batch Data Processing in Parallel Systems.In Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-017-8, pages 221-225. DOI: 10.5220/0004833002210225

@conference{icores14,
author={Mojahid Saeed Osman. and Malick Ndiaye . and Abdulrahim Shamayleh .},
title={Dynamic Scheduling for Batch Data Processing in Parallel Systems},
booktitle={Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2014},
pages={221-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004833002210225},
isbn={978-989-758-017-8},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Dynamic Scheduling for Batch Data Processing in Parallel Systems
SN - 978-989-758-017-8
AU - Saeed Osman, M.
AU - Ndiaye , M.
AU - Shamayleh , A.
PY - 2014
SP - 221
EP - 225
DO - 10.5220/0004833002210225

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