A survey on variants of genetic algorithm for scheduling workflow of tasks

Scheduling is a vital issue in cloud computing in order to facilitate optimized usage of resources. Genetic algorithms are used in optimization techniques as they are class of heuristic approaches that have their inspirations from evolutionary ideas of natural evolution. The cloud scheduling optimiz...

Full description

Saved in:
Bibliographic Details
Published in2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM) pp. 489 - 492
Main Authors Varghese, Bini Mariam, Raj, R. Joshua Samuel
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2016
Subjects
Cloud Computing
Genetic Algorithm
Genetic algorithms
Genetics
Optimization
Processor scheduling
Scheduling
Sociology
Statistics
Workflow Tasks
Online AccessGet full text

Cover

More Information
Summary:Scheduling is a vital issue in cloud computing in order to facilitate optimized usage of resources. Genetic algorithms are used in optimization techniques as they are class of heuristic approaches that have their inspirations from evolutionary ideas of natural evolution. The cloud scheduling optimization problem is modelled as a population of candidate solutions and the genetic algorithm is applied for benefitting the fittest candidates. This paper presents a broad overview on the formalization of works contributed by variants of Genetic Algorithm to the field of Scheduling which can be applied to cloud computing.
DOI:10.1109/ICONSTEM.2016.7560870