Load Balancing in Multiprocessing Systems - Couverture souple

Rabea Kaseb, Mostafa; Hussein Awadalla, Medhat; Mostafa Saad, EL Sayed

 
9783659244292: Load Balancing in Multiprocessing Systems

Synopsis

Multiprocessors have become powerful computing means for running real-time applications and their high performance depends greatly on parallel and distributed network environment system. Consequently, several methods have been developed to optimally tackle the multiprocessor task scheduling problem which is called NP-hard problem. To address this issue, this research presents two approaches. The first approach is Modified List Scheduling Heuristic (MLSH). The second approach is hybrid approach which is composed of Genetic Algorithm (GA) and MLSH for task scheduling in multiprocessor system.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Multiprocessors have become powerful computing means for running real-time applications and their high performance depends greatly on parallel and distributed network environment system. Consequently, several methods have been developed to optimally tackle the multiprocessor task scheduling problem which is called NP-hard problem. To address this issue, this research presents two approaches. The first approach is Modified List Scheduling Heuristic (MLSH). The second approach is hybrid approach which is composed of Genetic Algorithm (GA) and MLSH for task scheduling in multiprocessor system.

Biographie de l'auteur

B.Sc. from Faculty of Engineering, Fayoum Univ., Egypt. M.Sc from Electronics,Communications & Computers Engineering Dep., Faculty of Engineering, Helwan Univ., Egypt. Currently an Assistant Lecturer at Fayoum Univ. Research interests includes parallel & distributed system, Grid & Cloud Computing, Multiprocessor scheduling, and genetic algorithms.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.