Construction of load balancing scheduling model for cloud computing task based on chaotic ant colony algorithm

Abstract

In order to overcome the problem of low scheduling balance and long time in traditional load scheduling model for cloud computing task, a load balancing scheduling model for cloud computing task based on chaotic ant colony algorithm is proposed. Task scheduling strategy is selected through task scheduling framework to achieve parallel task scheduling. Based on chaotic ant colony algorithm, cloud computing resources are deployed, and the load objective function of cloud computing task is constructed. Based on the constructed objective function, a load balancing scheduling model for cloud computing tasks is established, thereby achieving load balancing scheduling for cloud computing tasks. The experimental results show that the model has a high scheduling balance, the scheduling time is always less than 5 ms, and the scheduling efficiency is high. This model is more suitable for the balanced scheduling of cloud computing resources, which is feasible.