Grid Job Scheduling - A Detailed Study

In this paper, a cloud task scheduling policy based on Ant Colony Optimization (ACO) algorithm compared with different scheduling algorithms First Come First Served (FCFS)

To be adaptive to a dynamically changing computational grid, the key of the bio-inspired job scheduling mechanism is to keep track of the pheromone value table with the

261 SOLVING JOB SHOP SCHEDULING PROBLEM USING AN ANT COLONY ALGORITHM.. Habibeh

Bandwidth Aware Job Grouping based Scheduling algorithm groups the jobs according to MIPS and bandwidth of resources thereby reducing the total job processing time

The MIPS of each resource is also specified (Table 1).. We have experimented the above algorithms and obtained results for task scheduling with uniform job grouping using PSO and

This work focuses on the performance of some well- known heuristic job scheduling algorithms when applied to the Epigenomic application taking into consideration

"An ant colony optimization approach to a grid workflow scheduling problem with various qos requirements." in IEEE Transactions on Systems, Man, and Cybernetics, Part

To solve the scheduling problem, several research studies have been performed based on non-deterministic algorithms, such as genetic algorithms, ant colony optimization