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Authors: Mojahid Saeed Osman ; Malick Ndiaye and Abdulrahim Shamayleh

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

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 - ICORES; ISBN 978-989-758-017-8; ISSN 2184-4372, SciTePress, 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 - ICORES},
year={2014},
pages={221-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004833002210225},
isbn={978-989-758-017-8},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - ICORES
TI - Dynamic Scheduling for Batch Data Processing in Parallel Systems
SN - 978-989-758-017-8
IS - 2184-4372
AU - Saeed Osman, M.
AU - Ndiaye, M.
AU - Shamayleh, A.
PY - 2014
SP - 221
EP - 225
DO - 10.5220/0004833002210225
PB - SciTePress