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Heuristics for periodical batch job scheduling in a MapReduce computing framework

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Heuristics for periodical batch job scheduling in a MapReduce computing framework

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Xiaoping Li; Tianze Jiang; Ruiz García, R. (2016). Heuristics for periodical batch job scheduling in a MapReduce computing framework. Information Sciences. 326:119-133. doi:10.1016/j.ins.2015.07.040

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/78868

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Title: Heuristics for periodical batch job scheduling in a MapReduce computing framework
Author:
UPV Unit: Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses
Issued date:
Abstract:
Task scheduling has a significant impact on the performance of the MapReduce computing framework. In this paper, a scheduling problem of periodical batch jobs with makespan minimization is considered. The problem is ...[+]
Subjects: MapReduce , Periodical job , Schedule-dependent setup times , Heuristics , Makespan
Copyrigths: Reserva de todos los derechos
Source:
Information Sciences. (issn: 0020-0255 )
DOI: 10.1016/j.ins.2015.07.040
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.ins.2015.07.040
Thanks:
This work is supported by the National Natural Science Foundation of China (No. 61272377) and the Specialized Research Fund for the Doctoral Program of Higher Education (No. 20120092110027). Ruben Ruiz is partially supported ...[+]
Type: Artículo

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