Genetic Based Scheduling In Grid Systems: A Survey

被引：0

作者：

Raj, Joshua Samuel ^{[1
]}

Thomas, Riya Mary ^{[2
]}

机构：

[1] Karunya Univ, Sch Comp Sci & Technol, Coimbatore, Tamil Nadu, India

[2] Karunya Univ, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India

来源：

2013 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS | 2013年

关键词：

Flowtime; Genetic Algorithm; Grid computing; Grid scheduling; Heuristics; ALGORITHM;

D O I：

暂无

中图分类号：

R-058 [];

学科分类号：

摘要：

Genetic algorithm techniques are used in optimization for grid computing as they get their inspirations from evolutionary idea of natural evolution. Moreover genetic operators can be tailored for the problem at hand by exploiting procedures that have been fully applied to problems that have resisted solutions to common techniques and thereby making them beneficial. The grid scheduling optimization problem is modeled as a population of candidate solutions and the genetic algorithm is applied for getting the fittest candidates. This paper presents a broad overview on the formalization of works contributed by genetic algorithm to the field of grid scheduling.

引用

页数：4