Abstract-A dynamic and efficient grid task scheduling strategy was proposed in this paper by combining the genetic algorithm and the ant algorithm. The proposed method integrated the global search capability of the genetic algorithm and the solution precision of the ant algorithm; moreover, it avoided the imprecise local solution, prematurity and degradation phenomena of genetic scheduler, and overcame the inefficiency of the ant algorithm at its initial search stage. The simulation results show that the proposed scheduling strategy has an obvious superiority of scheduling efficiency in the large-scale grid task scheduling environment, and is better than the genetic algorithm and the ant algorithm as a whole. Keywords-Grid task, Scheduling ...
Abstract. In this paper we present Genetic Algorithms (GAs) based schedulers for efficiently allocat...
AbstractThis paper addresses scheduling problem of independent tasks in the market-based grid enviro...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...
Load balanced task scheduling is very important problem in complex grid environment. Finding optimal...
The purpose of Grid computing is to utilize computational power of idle resources which are distribu...
High throughput computing (HTC) is of great importance in grid computing environments. HTC is aimed ...
Efficient scheduling algorithm is required to use the grid resources properly. List scheduling heuri...
Abstract — Grid computing is a form of distributed computing that coordinates and shows computing po...
[[abstract]]Computational grids have recently attracted considerable attention as cost‐effective pla...
Grid computing system includes a set of programs and resources that are distributed in grid machines...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...
Abstract. The paper describes a solution to the key problem of en-suring high performance behavior o...
Abstract — Grid task scheduling is a NP-hard problem. In this paper, an optimization algorithm of gr...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...
In this paper we present Genetic Algorithms (GAs) based schedulers for efficiently allocating jobs t...
Abstract. In this paper we present Genetic Algorithms (GAs) based schedulers for efficiently allocat...
AbstractThis paper addresses scheduling problem of independent tasks in the market-based grid enviro...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...
Load balanced task scheduling is very important problem in complex grid environment. Finding optimal...
The purpose of Grid computing is to utilize computational power of idle resources which are distribu...
High throughput computing (HTC) is of great importance in grid computing environments. HTC is aimed ...
Efficient scheduling algorithm is required to use the grid resources properly. List scheduling heuri...
Abstract — Grid computing is a form of distributed computing that coordinates and shows computing po...
[[abstract]]Computational grids have recently attracted considerable attention as cost‐effective pla...
Grid computing system includes a set of programs and resources that are distributed in grid machines...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...
Abstract. The paper describes a solution to the key problem of en-suring high performance behavior o...
Abstract — Grid task scheduling is a NP-hard problem. In this paper, an optimization algorithm of gr...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...
In this paper we present Genetic Algorithms (GAs) based schedulers for efficiently allocating jobs t...
Abstract. In this paper we present Genetic Algorithms (GAs) based schedulers for efficiently allocat...
AbstractThis paper addresses scheduling problem of independent tasks in the market-based grid enviro...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...