It’s important to note that Fog and Edge computing are not meant to replace centralized cloud computing but rather coexist in a cohesive IT strategy Fog computing does not replace the cloud but rather complements it

31 Characteristics of Fog

The main difference between fog computing and cloud computing is that cloud is a centralized system, while the fog is a distributed decentralized infrastructure In this way, fog is an intelligent gateway that offloads clouds enabling more efficient data storage, processing and analysis

Fog is a kind of cloud that touches the ground Fog forms when the air near the ground cools enough to turn its water vapor into liquid water or ice There are many different types of fog, too Ice fog forms when the air near the ground is cold enough to turn the water in fog into ice crystals

The fog computing is comprised of end users, internet service providers and cloud providers This can often rise trust and authentication issues in the fog Unlike cloud architecture, where maintenance is made seamless, it is not so in fog

The typical drivers of this move towards fog computing are latency and bandwidth: Application domains such as autonomous driving or 5G mobile applications call for low latency responses Here, a local edge server is able to respond much faster than a remote cloud server

Fog computing is a decentralized computing infrastructure in which data, compute, storage and applications are located somewhere between the data source and the cloud Like edge computing, fog computing brings the advantages and power of the cloud closer to where data is created and acted upon

Reduced latency is the primary benefit of edge and fog computing Data does not necessarily need to be sent to the cloud for processing as some of the compute can be performed nearer the data source for time-sensitive services

By processing data closer to the source and prioritizing traffic, edge computing reduces the amount of data flowing to and from the primary network, leading to lower latency and faster overall speed Physical distance is critical to performance as well

uting use case examples

• Smart grid
• Predictive maintenance
• In-hospital patient monitoring
• Virtualised radio networks and 5G (vRAN)
• Cloud gaming
• Content delivery
• Traffic management Edge computing can enable more effective city traffic management
• Smart homes Smart homes rely on IoT devices collecting and processing data from around the house

Edge computing is important because it creates new and improved ways for industrial and enterprise-level businesses to maximize operational efficiency, improve performance and safety, automate all core business processes, and ensure “always on” availability

With many vendors claiming to offer Top Notch Edge computing services, here are some of the companies to pay attention this year

• ClearBlade Founded: 2007
• EdgeConneX Founded: 2009
• Mutable Founded: 2016
• MobiledgeX Founded: 2017
• Saguna Founded: 2008
• Cato Networks Founded: 2015
• Edge Intelligence Founded: 2010
• Vapor IO

Answer There is the latency issue, security and privacy risks, unreliability etc, which are reasons for concern as the number of connected devices increases Real-time processing of data is also very difficult, which is a priority for IoT Fog computing has emerged as a solution to this problem

The future of edge computing will improve alongside advanced networks like 5G and satellite mesh and artificial intelligence

Edge computing is the practice of capturing, storing, processing and analyzing data near the client, where the data is generated, instead of in a centralized data-processing warehouse

Rather than sending all data collected by Internet of things (IoT) sensors directly to the cloud, edge computing processes this data within the network, and only relevant data, or information data conveniently bundled, is sent; reducing latency issues

In his definition, cloud computing operates on big data while edge computing operates on “instant data” that is real-time data generated by sensors or users

Edge computing is used to process time-sensitive data, while cloud computing is used to process data that is not time-driven Besides latency, edge computing is preferred over cloud computing in remote locations, where there is limited or no connectivity to a centralized location

Akamai

These edge devices can include many different things, such as an IoT sensor, an employee’s notebook computer, their latest smartphone, the security camera or even the internet-connected microwave oven in the office break room Edge gateways themselves are considered edge devices within an edge-computing infrastructure

5G Architecture View of Edge Computing Edge computing refers to locating applications – and the general-purpose compute, storage, and associated switching and control functions needed to run them – relatively close to end users and/or IoT endpoints

The Azure IoT Edge runtime is what turns a device into an IoT Edge device The runtime can be deployed on devices as small as a Raspberry Pi or as large as an industrial server Once a device is configured with the IoT Edge runtime, you can start deploying business logic to it from the cloud

Browse Encyclopedia (1) Any server or other networking device that is located closer to the client machines rather than being in the backbone of the network For example, a cache server is an edge device that sits inside the firewall and holds frequently requested pages

The network edge, also known as the WAN edge, is where an enterprise network connects to third-party network services Edge computing, however, is something different Although they sound similar, an enterprise network edge is vastly different from edge computing

Edge routers also referred to as access or branch routers, are specialized routers that act as gateways at the network edge They enable connectivity between an enterprise network and an external network They are typically used at the wide area network (WAN) or the Internet

Edge servers refers to servers (compute resources) that run the processing at an edge location, which can be anywhere along the edge spectrum – usually from on-premises edge to regional edge