Dynamic Resource Allocation and Memory Management Using Machine Learning for Cloud Environments
Dipak Raghunath Patil · International Journal of Advanced Trends in Computer Science and Engineering · 2020
In today's environment, large data has generated by various platforms, mobile computing is a kind of environment that generates such massive data in recent years.In those cases, heavy resources should be required to manage such data.This research basically proposed dynamic resource utilization using memory management with a large scale file system in the mobile environment.In mobile unnecessary generated cache or such file system generate unnecessary memory overhead of mobile device and it utilized major resources of device unnecessarily.To identify such data block and eliminate from execution will improve device performance and effective memory management.In this paper we proposed effective memory and resource management using machine learning technique and optimization.Some feature extraction techniques have been used from data block and previous pointer.System also reduces the processing overhead when system perform any transaction, the experimental analysis shows the effectiveness of proposed system with machine learning algorithms.