• Kamini Satish Patil
• Susheel Tiwari

Cloud computing emerges from different technologies and provides online services over the internet. The emerging technology and huge amount of traffic have degraded the performance of cloud computing. The degraded performance of cloud computing has affected the quality of services and market reputation. This paper proposes a load-balancing algorithm for scheduling tasks based on the ant colony optimisation algorithm. The proposed ant colony optimisation algorithm optimised the selection of tasks. The process of task selection reduces the load on virtual machines and improves the capacity of cloud computing. The proposed algorithm is simulated in cloud-sim software for validation. The analysis of the results suggests that the proposed algorithm is better than existing algorithms such as MCT-PSO, MALO, and WOA.

Cloud Computing, Load Balancing, Swam Intelligence, Virtual Machine, Data Centre.

"Bio-Inspired Load Balancing Algorithm in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.e178-e185, December-2023, Available :http://www.jetir.org/papers/JETIR2312424.pdf

"Bio-Inspired Load Balancing Algorithm in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppe178-e185, December-2023, Available at : http://www.jetir.org/papers/JETIR2312424.pdf