Cost-aware ant colony optimization based model for load balancing in cloud computing

Abstract EN

Balancing the incoming data traffic across the servers is termed as Load balancing.

In cloud computing, Load balancing means distributing loads across the cloud infrastructure.

The performance of cloud computing depends on the different factors which include balancing the loads at the data center which increase the server utilization.

Proper utilization of resources is termed as server utilization.

The power consumption decreases with an increase in server utilization which in turn reduces the carbon footprint of the virtual machines at the data center.

In this paper, the cost-aware ant colony optimization based load balancing model is proposed to minimize the execution time, response time and cost in a dynamic environment.

This model enables to balance the load across the virtual machines in the data center and evaluate the overall performance with various load balancing models.

As an average, the proposed model reduces carbon footprint by 45% than existing methods.