Abstract- Load balancing is a crucial issue in parallel and distributed systems to ensure fast processing and optimum utilization of computing resources. Load balancing strategies try to ensure that every processor in the system does almost the same amount of work at any point of time. This paper investigates dynamic load-balancing algorithm for heterogeneous distributed systems where half of the processors have double the speed of the others. Two job classes are considered for the study, the jobs of first class are dedicated to fast processors. While second job classes are generic in the sense they can be allocated to any processor. The performance of the scheduler has been verified under scalability. Some simulation results are presented...
This system presents an idea of distributing the tasks different processor to balance load in the fi...
The overall efficiency of parallel algorithms is most decisively effected by the strategy applied fo...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
Distributed heterogeneous computing is being widely applied to a variety of large size computational...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
Abstract- A parallel genetic algorithm has been developed to dynamically schedule heterogeneous task...
An algorithm has been developed to dynamically schedule heterogeneous tasks on to heterogeneous proc...
An algorithm has been developed to dynamically schedule heterogeneous tasks on to heterogeneous proc...
An algorithm has been developed to dynamically schedule heterogeneous tasks on to heterogeneous proc...
This paper presents the parallel computing and dynamic load balancing on heterogeneous system archit...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
Efficient use of resources in a parallel machine often requires the redistribution of tasks during t...
This system presents an idea of distributing the tasks different processor to balance load in the fi...
The overall efficiency of parallel algorithms is most decisively effected by the strategy applied fo...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
Distributed heterogeneous computing is being widely applied to a variety of large size computational...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
Abstract- A parallel genetic algorithm has been developed to dynamically schedule heterogeneous task...
An algorithm has been developed to dynamically schedule heterogeneous tasks on to heterogeneous proc...
An algorithm has been developed to dynamically schedule heterogeneous tasks on to heterogeneous proc...
An algorithm has been developed to dynamically schedule heterogeneous tasks on to heterogeneous proc...
This paper presents the parallel computing and dynamic load balancing on heterogeneous system archit...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
Efficient use of resources in a parallel machine often requires the redistribution of tasks during t...
This system presents an idea of distributing the tasks different processor to balance load in the fi...
The overall efficiency of parallel algorithms is most decisively effected by the strategy applied fo...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...