Parameter learning online algorithm for multiprocessor scheduling with rejection

Németh, Tamás and Imreh, Csanád: Parameter learning online algorithm for multiprocessor scheduling with rejection. Acta cybernetica, (19) 1. pp. 125-133. (2009)

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Abstract

In multiprocessor scheduling with rejection the jobs are characterized by a processing time and a penalty and it is possible to reject the jobs. The goal is to minimize the makespan of the schedule for the accepted jobs plus the sum of the penalties of the rejected jobs. In this paper we present a new online algorithm for the problem. Our algorithm is a parameter learning extension of the total reject penalty algorithm. The efficiency of the algorithm is investigated by an experimental analysis.

Item Type: Article
Event Title: Conference for PhD Students in Computer Science, 6., 2008, Szeged
Journal or Publication Title: Acta cybernetica
Date: 2009
Volume: 19
Number: 1
Page Range: pp. 125-133
ISSN: 0324-721X
Language: angol
DOI: https://doi.org/10.14232/actacyb.19.1.2009.8
Uncontrolled Keywords: Természettudomány, Informatika
Additional Information: Bibliogr.: p. 132-133.; Abstract
Date Deposited: 2016. Oct. 15. 12:25
Last Modified: 2018. Jun. 05. 12:34
URI: http://acta.bibl.u-szeged.hu/id/eprint/12856

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