Cloud Service Scheduling Algorithm Research and Optimization

الملخص EN

We propose a cloud service scheduling model that is referred to as the Task Scheduling System (TSS).

In the user module, the process time of each task is in accordance with a general distribution.

In the task scheduling module, we take a weighted sum of makespan and flowtime as the objective function and use an Ant Colony Optimization (ACO) and a Genetic Algorithm (GA) to solve the problem of cloud task scheduling.

Simulation results show that the convergence speed and output performance of our Genetic Algorithm-Chaos Ant Colony Optimization (GA-CACO) are optimal.