An Approach for Optimal Placement of data in Fog Computing

Abstract

The widespread usage of the Internet of Things in our daily interactions and the ever-increasing demand for processing capacity improve living quality. To address the needs of various IoT applications, service quality (QoS) is an important aspect of performance evaluation. The computer standard paradigm is wasteful in consideration of latency sensor applications provided by IoT sensors. Fog computing is a promising way to provide cloud services while avoiding the limitations of traditional computers. We offer a way for lowering fog computing electricity usage in this paper so that services can strategically use both active and inactive devices. It is a research paper. Situating a service is undeniably a problem of integrated optimization. The optimally designed solution stretches loads into another fog node with a service that reduces fog node energy. Fog Computing can help us save energy in this way.