Single Value Neutrosophic Virtual Machine Resources Optimization

Cloud computing plays an important role in different environment like Internet of Things (IOT), wireless remote devices, and mobile to manage huge quantity data and information for analysis and services in proposed approach. Cloud network exhibits sharing and accessing resources using Internet for different individual and organization on demand basis in cost effective way. Task scheduling algorithm is applied in virtual machines to balance real-time task load and to reduce task waiting time during execution. We have selected datacenters and virtual machines in neutrosophic environment using single-valued neutrosophic set (SVNS) theory to optimize resource utilization in real-time task load execution. Selection of virtual machines within a datacenter depends on the output of score matrix during task scheduling.