Computational grids hold great promise in utilizing geographically separated heterogeneous resources to solve large-scale complex scientific problems. However, a number of major ...
While resource management and task scheduling are identified challenges of Grid computing, current Grid scheduling systems mainly focus on CPU and network availability. Recent per...
The emerging Grid is extending the scope of resources to mobile devices and sensors that are connected through unreliable networks. Nowadays the number of mobile device users is in...
In a grid computing environment, resources are autonomous, wide-area distributed, and what’s more, they are usually not free. These unique characteristics make scheduling in a s...
s In grid computing, the goals of task scheduling is to achieve high system optimization performance while matching multi-dimension Quiality of Service(QoS) requirement of applicat...