Cost-Aware Ant
Colony Optimization Based Model for Load Balancing in Cloud Computing
Malini Alagarsamy1, Ajitha Sundarji2,
Aparna Arunachalapandi3, and Keerthanaa Kalyanasundaram4
1Department
of Computer Science, Thiagarajar College of Engineering, India
2AstraZeneca
GTC, India
3Wipro
Technologies Limited, India
4HCL
Technologies, India
Abstract: 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.
Keywords: Scheduling
algorithms, application virtualization, power, energy.
Received August 3,
2020; accepted April 7, 2021