#fog fogcomputing computing

[monovm]

🌫️ Fog Computing vs. Edge Computing – What’s the Difference?

🌫️ Fog Computing vs. Edge Computing – What’s the Difference?Both bring computing closer to the data source—but they’re not the same. Understand how fog and edge computing stack up in real-world scenarios. 📌 Inside this guide:Key differences in architecture and data flowWhen to choose fog over edge (and vice versa)Use cases in IoT, automation, and morePerformance, latency, and scalability compared Stay ahead of the curve by mastering these next-gen computing models. #FogComputing #EdgeComputing #IoT #CloudTrends #TechExplained #Monovm Read the full article

[sagorika]

Top 10 predictions for the new waves of innovation of IoT Technology

Top 10 predictions for the new waves of innovation of IoT Technology #IoT #internetofthing #technology #Fogcomputing #AI #IoTdevices

Let’s jump into the crystal ball of technological innovation and explore the exciting waves lied ahead in the vast ocean of the Internet of Things (IoT):- Edge Intelligence and Fog Computing IoT devices proliferating, at the need for real-time decision-making at the edge becomes paramount. Edge intelligence involves processing data closer to the source, where the right action happens. Expecting…

[viswatech]

FOG COMPUTING

1. WHAT IS FOG COMPUTING?

Fog computing is a decentralized computer architecture that processes and preserves information between the source of origin and the resources of the cloud. This contributes to the minimization of overhead data transfer and ultimately increases computational efficiency on cloud networks by reducing the need to process and retain vast quantities of superfluous data. The Fog computing paradigm is primarily driven by a continuous rise in Internet of Things (IoT) devices, where an ever-growing amount of data is generated from an ever-expanding array of devices (in terms of scale, variety, and velocity).

2. ORIGIN OF FOG COMPUTING

Cisco, which recorded the name ‘Cisco Fog Computing,’ which played on cloud computing when the clouds are high in the atmosphere, and the fog applies to the clouds near the ground down, is synonymous with the term fog computing. An OpenFog Collaboration was set up in 2015 with founding members ARM, Cisco, Dell, Intel, Microsoft, and Princeton University, and additional participating members including GE, Hitachi, and Foxconn. The loosely allied, and largely synonymous, concept ‘edge computing’ was introduced by IBM (although not exactly in some situations).

3. BENEFITS OF FOG COMPUTING

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·         Greater Market Agility: Developers can seamlessly create fog computing applications and launch them whenever appropriate by using the right set of instruments. Fog apps push the system to run in a way that customers require.

·         Better security: It is possible to secure fog nodes using the same controls, processes, and policies as you use in other IT environment areas.

·         Deeper Insights with Privacy Control: Instead of uploading it to the cloud for processing, confidential data can be processed locally. The IT team will manage the instruments that capture, process, and store data and manage them.

·         Reduced Operating Cost: By processing chosen data locally, Fog computing can conserve network resources instead of uploading it for review to the cloud.

·         Fog Computing applications: In a cloud-based management system, Fog Computing functions better to provide control and deeper analysis across a variety of nodes. Wind electricity, transportation, smart cities, security, and smart buildings are among others. Let’s look at some of the real-life cases of where fog computing can be useful and how.

·         Fog Computing in Smart Cities: There is a range of problems facing big cities, including public safety, sanitation, heavy electricity consumption, and community services. Through deploying a network of fog nodes, the solution to these problems exists in a single IoT network.

 4. FOG COMPUTING APPLICATIONS

·         Linked vehicles: Self-driven or self-driven vehicles are now available on the market, producing a significant volume of data. The information has to be easily interpreted and processed based on the information presented such as traffic, driving conditions, environment, etc. All this information is processed quickly with the aid of fog computing.

·         Smart Grids and Smart Cities: Energy networks use real-time data for the efficient management of systems. It is necessary to process the remote data near to the location where it is produced. It is also likely that data from multiple sensors will be produced. Fog computing is constructed in such a manner that all problems can be sorted.

·         Real-time analytics: Data can be transferred using fog computing deployments from the location where it is produced to different locations. Fog computing is used for real-time analytics that passes data to financial institutions that use real-time data from production networks.

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CONCLUSION

 Fog computing provides cloud computing to manage the greater array of regular IoT data generated. It helps to overcome the problems of data velocity, variety, and volume explosion. It also increases understanding and reaction to incidents by eradicating an intellectual round trip to the cloud.

Also, discharging gigabytes of the network from the prime network helps minimize the costs of extra bandwidths. Furthermore, by analyzing it inside the organization, it can protect the fragile Internet of Things content. Therefore, businesses that implement fog computing achieve quicker and deeper insights, leading to improved market agility, enhanced protection, and a higher quality of operation.

[markiis]

South Korea is leading the world in showing interest in Fog Computing! #fogcomputing #fogcomputingalliance #fogcomputingsystems https://www.instagram.com/p/BrJq9pAnD9v/?utm_source=ig_tumblr_share&igshid=1mlaptgl4665

[digital-transfo]

Evolution of #CloudComputing includes #fogComputing as #InternetOfThings proliferate - see this short video intro #IOT via @jssprenger

What is fog computing, and why is it necessary? This 2-minute video provides a quick overview and introduction.

Farid Mheir's insight:

WHY IT MATTERS: always good to stay abreast of the latest buzzword... ;-)

[abhishekrungta]

RT @marcpicaud: Cloud Computing vs. Fog Computing #CloudComputing #Technology #InternetofThings #FogComputing #News… https://t.co/tsFg0osuQ3

Cloud Computing vs. Fog Computing #CloudComputing #Technology #InternetofThings #FogComputing #News https://t.co/VOIBeeOxrS http://pic.twitter.com/CSY2oRLNjI

— Marc Picaud (@marcpicaud) June 16, 2017

via Twitter https://twitter.com/abhishekrungta June 17, 2017 at 01:40AM

[royalvoxpost]

#tech emerging trend / #fogcomputing: #Blockchain Platform SONM Announces ICO; Aims to Revolutionize Fog Computing… https://t.co/j1tRNAgjbr

#tech emerging trend / #fogcomputing: #Blockchain Platform SONM Announces ICO; Aims to Revolutionize Fog Computinghttps://t.co/4TRQagIc3f http://pic.twitter.com/Kff1SikTXy

— The Royal Vox Post (@RoyalVoxPost) June 2, 2017

via Twitter https://twitter.com/RoyalVoxPost June 02, 2017 at 06:39PM

[nageshpolu-blog]

via Twitter @nageshpolu

[sagorika]

What does the development of fog computing, cloud computing, and Internet of Vehicle (IoV) means in the current industry?

Why Fog computing is important? #fogcomputing #cloudcomputing# #Internetofvehicles #autonomousvehicles #industrymarket #cloudserver #Industry4 #IoT #edgenetworking #autonomousdriving #smartcities #selfdrivingvehicles

The terms “fog computing,” “cloud computing,” and “Internet of Vehicles” are quite important with the growing trends in the industry market. But why Fog computing is important? Along with cloud computing is it without any challenges and limitations? Fog computing is a paradigm extending cloud computing to the edge of the network, where devices such as routers, switches, gateways, and sensors…

[nageshpolu-blog]

via Twitter @nageshpolu

[nageshpolu-blog]

via Twitter @nageshpolu

[nageshpolu-blog]

via Twitter @nageshpolu