Editing User:Farhan (section)

=='''2.3 Edge and Fog'''==
===='''Edge Computing:'''====
Edge computing handles data at or close to the place where the data is situated, minimizing the latency in transmitting data to the cloud servers centrally. It is critical for applications that need real-time data processing and response, including autonomous vehicles, industrial automation, and medical monitoring.

#'''Reduced Latency:''' Edge computing reduces the latency of transmitting data over long distances as it processes the data locally.
#'''Improved Data Privacy:''' Personal data is processed closer to the source, reducing the risk of exposure.
#'''Bandwidth Efficiency:''' There is only transmission of processed data or key information to the cloud, which minimizes data traffic,
#'''High Reliability:''' Edge devices can operate independently even when the network connectivity with the cloud is severed.
===='''Applications of Edge Computing:'''====
*''''Autonomous Vehicles:''' Real-time data processing for navigation and obstacle avoidance,
*'''Smart Cities:''' Adaptive lighting networks and traffic monitoring,
*'''Healthcare:''' Real-time remote monitoring equipment to analyze patients' information,
*'''Industrial IoT:''' Predictive maintenance through sensor data.

==='''Fog Computing:'''===
Fog computing is an extension of edge computing in the way that it creates a middle layer between the cloud and the edge devices. Fog computing enables data to be collected, computed, and decision-making performed nearer to the data source but not on the device itself.

===='''Features of Fog Computing:'''====
#'''Intermediate Processing:''' Relieves edge devices of some processing tasks prior to reaching the cloud,
#'''Data Aggregation:''' It combines data from various sources to eliminate redundancy,
#'''Enhanced Scalability:''' Enables massive IoT networks by distributing computation tasks
#'''Real-Time Analytics: ''' Processes real-time data in real time without depending on distant servers

===='''Comparison: Edge vs. Fog:'''====
*'''Processing Location:''' Edge directly on devices; Fog on intermediate nodes
*'''Latency:''' Edge has ultra-low latency; Fog has low but comparatively higher latency
*'''Scalability:''' Fog is more scalable because of the capability of data combining
*'''Data Aggregation:''' Edge deals with individual data, while Fog consolidates data from multiple sources.

'''Diagram 3: Edge-Fog-Cloud Network Architecture'''
[[File:Diagram_3_Edge_Fog_Cloud_Network_Architecture.png|500px|thumb|center|Real-Time Edge Adoption]]

 The diagram shows the interplay between cloud, fog, and edge layers, emphasizing the data flow from localized edge processing through fog nodes to the centralized cloud for deeper analytics.

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