Max-Min Processors Scheduling
Author(s) -
Hani Alquhayz,
Mahdi Jemmali
Publication year - 2021
Publication title -
information technology and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.286
H-Index - 19
eISSN - 2335-884X
pISSN - 1392-124X
DOI - 10.5755/j01.itc.50.1.25531
Subject(s) - knapsack problem , heuristics , maximization , mathematical optimization , computer science , scheduling (production processes) , heuristic , set (abstract data type) , continuous knapsack problem , job shop scheduling , mathematics , schedule , programming language , operating system
This paper focuses on the maximization of the minimum completion time on identical parallel processors. The objective of this maximization is to ensure fair distribution. Let a set of jobs to be assigned to several identical parallel processors. This problem is shown as NP-hard. The research work of this paper is based essentially on the comparison of the proposed heuristics with others cited in the literature review. Our heuristics are developed using essentially the randomization method and the iterative utilization of the knapsack problem to solve the studied problem. Heuristics are assessed by several instances represented in the experimental results. The results show that the knapsack based heuristic gives almost a similar performance than heuristic in a literature review but in better running time.
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