Efficient utilization of resources is the key factor for any environment. The grid environment is also more dynamic, it facilitates the movement of resources in and out of the environment flexibly. Hence maintenance of centralized registries is not sufficient for this demanding environment. Here, we propose a new approach for resource discovery which employs the Ant Colony Optimization (ACO) technique for resource discovery it also includes the routing information and enhances the resource discovery process
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Scheduling jobs to resources in grid computing is complicated due to the distributed and heterogeneo...
Ant colony optimization (ACO) is a multi-agent heuristic for solving combina-torial optimization pro...
Managing resources in grid computing system is complicated due to the distributed and heterogeneous ...
An enhanced ant colony optimization technique for jobs and resources scheduling in grid computing is...
Managing resources in grid computing system is complicated due to the distributed and heterogeneous ...
Managing resources in grid computing system is complicated due to the distributed and heterogeneous ...
Efficient resource management is needed to overcome stagnation problem in grid computing. Scheduling...
Resource discovery is one of the most important services that significantly affects the efficiency o...
The applicability of peer-to-peer (p2p) in the domain of grid computing has been an important subjec...
The use of ‘proper energy computation system’ is the best method to investigate the problem of energ...
Abstract — Task scheduling is an important factor that directly influences the performance and effic...
Managing resources in grid computing system is complicated due to the distributed and heterogeneous ...
Computational Grid is a new paradigm in distributed computing which aims to realize a large-scale hi...
This paper studies the Resource Discovery problem in a Grid system based on Matchmaking-Routers. The...
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Scheduling jobs to resources in grid computing is complicated due to the distributed and heterogeneo...
Ant colony optimization (ACO) is a multi-agent heuristic for solving combina-torial optimization pro...
Managing resources in grid computing system is complicated due to the distributed and heterogeneous ...
An enhanced ant colony optimization technique for jobs and resources scheduling in grid computing is...
Managing resources in grid computing system is complicated due to the distributed and heterogeneous ...
Managing resources in grid computing system is complicated due to the distributed and heterogeneous ...
Efficient resource management is needed to overcome stagnation problem in grid computing. Scheduling...
Resource discovery is one of the most important services that significantly affects the efficiency o...
The applicability of peer-to-peer (p2p) in the domain of grid computing has been an important subjec...
The use of ‘proper energy computation system’ is the best method to investigate the problem of energ...
Abstract — Task scheduling is an important factor that directly influences the performance and effic...
Managing resources in grid computing system is complicated due to the distributed and heterogeneous ...
Computational Grid is a new paradigm in distributed computing which aims to realize a large-scale hi...
This paper studies the Resource Discovery problem in a Grid system based on Matchmaking-Routers. The...
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Scheduling jobs to resources in grid computing is complicated due to the distributed and heterogeneo...
Ant colony optimization (ACO) is a multi-agent heuristic for solving combina-torial optimization pro...