DocumentCode
655382
Title
Real-time Task Assignment in Heterogeneous Multiprocessor Using Metaheuristic Algorithms
Author
Prescilla, K. ; Selvakumar, A. Immanuel
Author_Institution
Dept. Electron. & Commun. Eng., Karunya Univ., Coimbatore, India
fYear
2013
fDate
29-31 Aug. 2013
Firstpage
248
Lastpage
252
Abstract
In this article, Genetic Algorithm (GA) and Ant Colony Optimization (ACO) are used for scheduling the tasks in heterogeneous multiprocessor. The aim is to find a feasible schedule and to optimize energy consumption of the feasible schedule.
Keywords
ant colony optimisation; genetic algorithms; multiprocessing systems; real-time systems; task analysis; ACO; GA; ant colony optimization; genetic algorithm; heterogeneous multiprocessor; metaheuristic algorithms; optimize energy consumption; real-time task assignment; Ant colony optimization; Genetic algorithms; Optimization; Processor scheduling; Real-time systems; Schedules; Software algorithms; Ant Colony Optimization; Genetic Algorithm; Heterogeneous processor; Multiprocessors; Periodic task; Real-time System; Scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing and Communications (ICACC), 2013 Third International Conference on
Conference_Location
Cochin
Type
conf
DOI
10.1109/ICACC.2013.55
Filename
6686381
Link To Document