@inproceedings{b2cc1c8d6fee413086c9d4e6d8d13ac5,
title = "Dynamic scheduling for batch data processing in parallel systems",
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.",
keywords = "Batch processing, Data processing, Dynamic scheduling",
author = "Osman, \{Mojahid Saeed\} and Malick Ndiaye and Abdulrahim Shamayleh",
year = "2014",
doi = "10.5220/0004833002210225",
language = "English",
isbn = "9789897580178",
series = "ICORES 2014 - Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems",
publisher = "SciTePress",
pages = "221--225",
booktitle = "ICORES 2014 - Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems",
}