A Comparative Analysis of Path Optimization Using Machine Learning and Cloud Optimization Techniques

Abstract

Due to the increment of the data usage, the new technology called IOT has been introduced. IOT is referred as embedded electronics and information technology which provides connectivity between physical and industrial fields. In this paper we discuss about IOT architecture which can be built with cloud and machine learning. Since these IOT devices produce large amount of data, finding a best solution from these large amounts of data is hard. Hence, we optimize the data which is effective for finding a best and effective condition. So, in this paper we give a comparative analysis of an optimization technique of both cloud computing and machine learning techniques.