• Geetu
• Dr. Anand Sharma

The research paper is primarily focused on discussing the optimization techniques relevant to load balancing in cloud computing. Load balancing in cloud computing is the process in which workloads and computing resources are distributed across more than one server. Load balancing helps in maintaining system firmness, performance and protection against system failures. Load balancing allows enterprises to manage the application or workload demands by allocating resources among multiple computers, networks or servers. Cloud load balancing involves hosting the distribution of workload traffic and demands that reside over the Internet. By spreading the work evenly, load balancing improves application responsiveness. It also increases the availability of applications and websites for users. The research paper elaborated on the importance of load balancing in the cloud environment and detailed about the prominent optimization techniques of Swarm Intelligence and Ant-Colony Optimization. The research paper also illustrates the implementation of Ant-Colony Optimization through an example using 200 iterations to calculate the best cost.

Ant-Colony Optimization, best cost, load balancing, Swarm Intelligence, Particle Swarm Intelligence.

"Implementing Intelligent Behavior of ACO for calculating Optimized cost", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.757-764, April-2019, Available :http://www.jetir.org/papers/JETIR1904R16.pdf

"Implementing Intelligent Behavior of ACO for calculating Optimized cost", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp757-764, April-2019, Available at : http://www.jetir.org/papers/JETIR1904R16.pdf