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 :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=655382
بازگشت