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.

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[28] Zhao W., Peng Y., Xie F., and Dai Z., “Modeling and Simulation of Cloud Computing: A Review,” in Proceeding of Asia Pacific Cloud Computing Congress, Shenzhen, pp. 20-24, 2012. Cost-Aware Ant Colony Optimization Based model for Load Balancing in Cloud Computing 729 Malini Alagarsamy obtained her PhD in Information and Communication Engineering from Anna University, Chennai. She is currently an assistant professor at Thiagarajar College of Engineering, Madurai, India. She has published several research papers in journals and international/national conferences. Her research interest includes software Engineering, Testing, Mobile Application development, Green Computing, Internet of Things, Block chain and Machine Learning. Ajitha Sundarji obtained her B.E in Computer Science and Engineering from Thiagarajar College of Engineering, Madurai, India in 2019.She is currently an associate engineer at AstraZeneca GTC, Chennai, India. Her research interest includes Software testing, Scheduling, Resource allocation and Green computing. Aparna Arunachalapandi obtained her B.E in Computer Science and Engineering from Thiagarajar College of Engineering, Madurai, India in 2019.She is currently a software engineer at Wipro Technologies, Bangalore, India. Her research interest includes Software testing, Scheduling, Resource allocation and Green computing. Keerthanaa Kalyanasundaram obtained her B.E in Computer Science and Engineering from Thiagarajar College of Engineering, Madurai, India in 2019.She is currently a software developer at HCL Technologies Limited, Elcot sez park, Madurai, India. Her research interest includes Software testing, Scheduling, Resource allocation and Green computing.