Fog Computing: An Innovative Technique for the Quality Improvement in IOT Communication

Abstract

Purpose: Fog computing is introduced as a relatively new trend in analysis. The purpose is to extend cloud computing services to the edge of the network to reduce latency and congestion. It emphasises low latency, broader distribution, and geographically dispersed nodes for improved real-time communication.

Design/Methodology/Approach: Cloud computing services are extended to the edge of the network. Focus on reducing latency and congestion through fog computing architecture. Mention of comparable resources and services between cloud and fog computing, with an emphasis on the latter’s low latency and geographic distribution.

Findings: Highlighting the limitations of cloud computing, including minimum mobility, lack of location-awareness, and unreliable latency. Recognition of fog computing as a solution offering flexible resources and services that extend to devices at the network’s outer edges. Cloud computing is acknowledged for handling resource demands of devices at the core of the network.

Originality/Value: Fog computing is presented as a solution addressing the impracticalities of cloud computing, particularly for certain applications like IoT. Fog computing offers the computational efficiency of cloud computing with the bandwidth enhancements of a local network. Noting the interest of computer scientists and researchers due to fog computing’s unique capabilities.

Paper Type: View Point