Comparative Analysis of Techniques for Efficient Resource Utilization in Cloud Environments Through VM Placement Optimization
Natarajan P, V G Panjatcharam, T. Rajkumaran · 2023
This study focuses on evaluating and comparing different VM placement techniques in a simulated cloud environment. The performance metrics, including resource utilization, load balancing, number of servers used, average response time, fault tolerance, and storage capacity, are analyzed for each technique. The results indicate that the Supervised technique achieves the highest resource utilization, load balancing, and storage capacity, along with the lowest average response time. The Bin Packing technique demonstrates efficient server utilization and medium fault tolerance. The Load-Aware and Genetic techniques exhibit a trade-off between resource utilization, load balancing, and fault tolerance. These findings provide valuable insights into selecting appropriate VM placement techniques based on specific requirements.