Workload and resource management are two essential functions provided at the service level of the Grid system. To improvement in global throughput need, effective and efficient load balancing are fundamentally important. We also check that what type of scheduling policy is used by that algorithm, because an efficient scheduling policy can utilize the computational resources efficiently by allowing multiple independent jobs to run over a network of heterogeneous clusters. In this paper, a dynamic grid model, as a collection of clusters has been proposed. An efficient scheduling policy is used, and its comparison with the other scheduling policy has been presented
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
AbstractLoad balancing has been a key concern for traditional multiprocessor systems. The emergence ...
With the rapid development of high-speed wide-area networks and powerful yet low-cost computational ...
Abstract- This paper addresses the problem of scheduling and load balancing in heterogeneous computa...
Abstract—Computational grids have the potential computing power for solving large-scale scientific c...
In the past two decades, numerous scheduling and load balancing techniques have been proposed for lo...
Grid computing is a continuous growing technology that alleviates the executions of large-scale reso...
This paper suggests a hybrid resource management approach for efficient parallel distributed computi...
Abstract- In this paper we have successfully reduced the total execution time of jobs submitted in a...
AbstractLoad balancing has been a key concern for traditional multiprocessor systems. The emergence ...
In order to satisfy the users' requirements for the productivity and efficiency of tasks implementat...
In the provision of a Grid service, a provider may have heterogeneous clusters of resources offering...
Workload and resource management are two essential functions provided at the service level of the gr...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
AbstractLoad balancing has been a key concern for traditional multiprocessor systems. The emergence ...
With the rapid development of high-speed wide-area networks and powerful yet low-cost computational ...
Abstract- This paper addresses the problem of scheduling and load balancing in heterogeneous computa...
Abstract—Computational grids have the potential computing power for solving large-scale scientific c...
In the past two decades, numerous scheduling and load balancing techniques have been proposed for lo...
Grid computing is a continuous growing technology that alleviates the executions of large-scale reso...
This paper suggests a hybrid resource management approach for efficient parallel distributed computi...
Abstract- In this paper we have successfully reduced the total execution time of jobs submitted in a...
AbstractLoad balancing has been a key concern for traditional multiprocessor systems. The emergence ...
In order to satisfy the users' requirements for the productivity and efficiency of tasks implementat...
In the provision of a Grid service, a provider may have heterogeneous clusters of resources offering...
Workload and resource management are two essential functions provided at the service level of the gr...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
AbstractLoad balancing has been a key concern for traditional multiprocessor systems. The emergence ...