Paper Title
A Prospective Survey Of Heuristic Scheduling Algorithms For Grid Computing
Abstract
The grid computing offers powerful and dynamic framework, with the numerous resources, distributed CPU
loads, along with the extent of idle memory continually altering. Efficient schedulers are required to schedule jobs in such
dynamic environment. This paper presents comparative study of various well-known grid computing based scheduling
techniques by taking into account the implementation environment as well as metrics used like soft computing, environment
and metrics used with the aim to determine the effectiveness of each existing optimizing technique. This study has shown
that the Ant colony optimization scheduling has quite significant results over the available techniques. However due to
slowing growing rate it also become bottleneck of the optimistic scheduling. This paper ends up with the suitable future
directions to enhance the existing scheduling techniques.
Index Terms- Ant Colony Optimization, Adaptive Scheduling, NP-Hard.Particle Swarm Optimization