Allocation and Migration of Virtual Machines Using Machine Learning

Cloud computing promises the advent of a new era service boosted by means virtualization technology. The process creation virtual infrastructure, devices, servers and resources needed to deploy an application smoothly. This extensively practiced technology involves selecting efficient Virtual Machine (VM) complete task transferring applications from Physical Machines (PM) VM or VM. whole is very challenging not only in terms computation but also energy memory. research paper presents aware allocation migration approach meet challenges faced growing number cloud data centres. Learning (ML) based Artificial Bee Colony (ABC) used rank with respect load while considering efficiency as crucial parameter. most machines are further selected thus depending on dynamics energy, migrated one another. simulation analysis performed Matlab it shows that this work results more reduction consumption compared existing studies.