DocumentCode
263895
Title
Co-evolutional genetic algorithm for workflow scheduling in heterogeneous distributed environment
Author
Butakov, Nikolay ; Nasonov, Denis
Author_Institution
ITMO Univ., St. Petersburg, Russia
fYear
2014
fDate
15-17 Oct. 2014
Firstpage
1
Lastpage
5
Abstract
Flexible and efficient workflow scheduling is a key feature for modern distributed heterogeneous computational environments to satisfy requirements of scientific community. In this paper, we propose novel co-evolutional scheduling algorithm which demonstrates with conducted experiments how nature-inspired concept can improve existing schedulers and help to generate better schedules oriented on makespan minimization.
Keywords
genetic algorithms; minimisation; scheduling; coevolutional genetic algorithm; coevolutional scheduling algorithm; distributed heterogeneous computational environments; makespan minimization; workflow scheduling; Biological cells; Genetic algorithms; Optimal scheduling; Processor scheduling; Scheduling; Sociology; Statistics; Co-evolution; distributed computation; genetic algorithm; scheduling; workflow;
fLanguage
English
Publisher
ieee
Conference_Titel
Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on
Conference_Location
Astana
Print_ISBN
978-1-4799-4120-9
Type
conf
DOI
10.1109/ICAICT.2014.7035936
Filename
7035936
Link To Document