Load balancing in cloud computing using support vector machines and ant colony optimization
$30-250 USD
Paid on delivery
An IT pro. Just looking forward for implementation of load balancing in cloud environments . The project focuses on four file types: Audio, video, text and images for the loading balancing purpose. It works in two stages
1. At stage one, the cloud data of the four file types is classified using support vector machine (SVM)
2. At stage 2, the output of the classified data feeds into the ant colony optimization algorithm for the load balancing task.
The above should be simulated using CloudSim 4.0
Thank you
Project ID: #29533632
About the project
4 freelancers are bidding on average $185 for this job
Hello, I've complete MS Software Engineering. I've 5-Year experience in Core Python development. My Core Skills are Machine Learning and AI - Deep Learning - Tensorflow - Pytorch - OpenCV - Deep Learning - Data Analy More
I am a PhD in Operations Research with 12 years of experience in developing and deploying Optimization solutions for various organisations and institutions. I am deeply experienced in Optimization techniques and implem More
Hello client, I have 5 years of experience in working on projects in the field of data science, software engineering, NLP and AI/ML. I also have basic understanding of load balancing in Apache servers. With little ef More
