Virtual Machine Selection Strategy Based on Grey Wolf Optimizer in Cloud Environment: A Study

摘要

In cloud computing environment there are many strategies used for virtual machine (VM) placement. Virtualization technology can create multiple virtual machines. The mapping method of virtual machines to physical machines is thought as virtual machine placement. Objectives for VM selection can be multi-objective and mono objective. MP's main aims are to reduce the make span time and speed. Cloud computing plays a vital role in content delivery services for processing data and scheduling the task like smart cities sensors data, healthcare data processing services (HDPS). Cloud computing for HDPS can restore patients' records, diseases diagnosing and different medical domains in less time and fewer of price. Here we proposed a methodology which is GWO algorithm based on nature inspired concepts. The algorithm will work on optimal selection of virtual machine.