RI Learning Approach for Improved Workload and Resource Allocation in Cloud Computing
Sunita Ojha, Navneet Vishnoi · 2022
Resource Allocation (RA) in cloud computing is the process of allocating available resources to required cloud applications across a network connection. If resources aren't distributed efficiently, essential services will suffer. Utilizing the Credal C-Means (CCM) technique, we group virtual machines across all data centres. We keep two entities, including a load monitor and a migrator, to keep the weight of each CSP steady. Here, a load monitor calculates an approximate data centre workload, and a migrator transfers live virtual machines. In this case, the Hybrid Copy method is used to relocate running virtual machines. We are able to do both internal and external live VM migration across CSPs. We use the Cloudsim tool to demonstrate the efficacy of our strategy in a federation setting. Cloudsim's simulation findings are positive across the board, but especially in regards to communication cost.