#FogComputing

[fortunatelycoldengineer]

Difference between cloud computing and fog computing . . . . for more information and a cloud computing tutorial https://bit.ly/42sEk3S check the above link

[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…

[sharvaricmi]

Fog computing, also known as fog networking, is an architecture that employs edge devices to perform significant amounts of computation (edge computing), storage, and communication locally and routed over the Internet backbone.  Read more @ https://cmiinfoistic.blogspot.com/2022/04/everything-you-need-to-know-about-fog.html

[markiis]

Do you know why market interest in Ubiquitous Computing is going down? #computing #cloudcomputing #quantumcomputing #retrocomputing #vintagecomputing #physicalcomputing #computingscience #computingteacher #computinghistory #edgecomputing #supercomputing #cognitivecomputing #spatialcomputing #ncomputing #cloudcomputingservices #8bitcomputing #creativecomputing #mobilecomputing #fogcomputing #computingatschool #astrocomputing #highperformancecomputing #nuscomputing #cloudcomputingsystem #womenincomputing #parallelcomputing #recomputing #computingatsmu #computingpower #embeddedcomputing https://www.instagram.com/p/Bz6IDFgnzyi/?igshid=49l285y11klm

[industrytechnologyreports-blog]

Fog Computing Market Worth $617.3 Million By 2025

The global fog computing market is expected to reach USD 617.3 million by 2025, according to a new report by Grand View Research, Inc. The increasing demand from end-use industries is expected to propel the industry growth. Fog computing is an advancement in Internet of Things (IoT) that has shifted data processing out of the cloud into devices. With the growing number of IoT deployments, the amount of data is multiplying, thereby giving rise to several challenges involved in uploading and processing this data. This has led to the emergence of fog computing to store and process the vast amount of data within a short time frame. Organizations are involved in developing effective solutions to cater to the needs of end-use industries. For implementing the fog computing technology, it is necessary for organizations to have a robust network performance management capability.

The growth in the machine-to-machine communication has opened growth opportunities for organizations to transition to fog computing to achieve faster decision-making capabilities and reduce the operating costs through its real-time tracking and analyzing abilities. Moreover, the technology supports interface and resource heterogeneity along with the distributed data analytics to address the requirements of widely distributed low latency applications. However, the fragmented technology standards and rising interoperability issues are limiting the industry growth.

To request a sample copy or view summary of this report, click the link below: http://www.grandviewresearch.com/industry-analysis/fog-computing-market

Further key findings from the report suggest:

The software     segment is expected to witness the fastest growth as software vendors are     tapping the opportunities generated by fog computing at several     application and platform layers

The routers     & switches segment is expected to account for a revenue share of over     30% by 2025; this growth can be attributed to the need for collecting the     excessive amount of data from different applications

The smart     manufacturing segment is expected to grow at a CAGR of over 60% as fog     computing helps the manufacturing companies in making better decisions     with real-time data to reduce the operational costs.

The smart     grids segment is expected to account for over 20% of the market share by     2025; the need for remote monitoring to reduce disruption in operations is     expected to drive demand

The North     American fog computing market is expected to grow at the highest rate over     the forecast period, with increased adoption of IoT in the manufacturing     and healthcare industries driving the regional growth

The key     industry players include PrismTech, Cisco Systems, Inc., FogHorn Systems,     and Nebbiolo Technologies

See More Reports of This Category: https://www.grandviewresearch.com/industry/communications-infrastructure-systems-and-software

About Grand View Research:

Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services. To help clients make informed business decisions, we offer market intelligence studies ensuring relevant and fact-based research across a range of industries, from technology to chemicals, materials and healthcare.

[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

Read More

·         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.

 Read More

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.

[businessapac]

Learn How Fog Computing Will Bring The Next Cloud 2.0

We are living in a world full of development. Artificial intelligence, internet of things, big data, and high-speed wireless networking has done wonders we could ever imagine. As a result, we adore upgraded living standards, using super-fast gadgets, and making better business decisions using data analytics. Everything is driven by data, and data is coped via cloud storage. However, with the increasing demand and rising usage of cloud, the game is going beyond its capacity, demanding an improved approach. Though data is not the issue, the issue is how we manage, access, analyze, and store all these data. The answer is fog computing.

Fog computing and Cloud computing

Cloud Computing has limitations when it comes to service required by real-time applications that require instantaneous responses and actions. For example, for autonomous cars, the technology should support location awareness, super-fast processing, wireless connectivity, very low expectancy, and mobility. These requirements cannot be fulfilled by cloud computing given its necessity of computation deep within the internet.

Business APAC is a Media House with a mission to reveal business journeys of successful Entrepreneurs in corporate Magazine for APAC region in a Asia Pacific journal.

Benefits of Fog Computing

Better Business Agility Better Security Deeper Perceptions with Privacy Control Applications for fog computing.

Limitations of Fog Computing

Complex and Confusing Bigger connections, bigger risks Data departure

Fog Computing and its applications have been discussed. Fog computing can handle the submerging of data created by IoT on the edge of the network. Business APAC is a

Asia pacific Journal

. The characteristics of fog computing are considered as a suitable platform for IoT. Fog computing is inflowing an exciting time, where it can positively affect working costs. Fog computing resolves problems related to overcrowding, space and internet traffic. Increasing these services at the edge through fog computing will give rise to new business models and openings for network operators. Cloud and fog computing have their respective roles and will report the exact needs and necessities of enterprises and end customers. Both will work together and co-exist to deliver a host of new services empowered by developing technologies.

[fortunatelycoldengineer]

Mobile operating system . . . for more information http://bit.ly/40mtCdG check the above link

[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…

[edwardmoorthy]

Fog Vs. Cloud: What You Need to Know About IoT Computing

Fog Vs. Cloud: What You Need to Know About IoT Computing

Also known as fogging or fog networking, fog computing can be defined as a decentralized computing infrastructure, where applications, data and storage are both efficiently and logically set up between the data point and the cloud. But why is the practice called “fog” computing? It’s simple.

Taken straight from the meteorology term, which refers to clouds close to the surface of the ground, fog…

[sharvaricmi]

The Complete Guide To Fog Computing

Fog computing, also known as fog networking or fogging, is a type of architecture used in close proximity to users to provide a seamless cloud computing user experience. It is also referred to as edge computing because it facilitates functions such as storage, computing, and networking services between cloud data centres, end enterprise systems, and user devices.

Fog computing is commonly used because cloud computing is not viable for many internet of things (IoT) applications. Its distributed approach addresses IoT and industrial IoT (IIoT) requirements, as well as the massive amount of data generated by smart sensors and IoT devices, which would be costly and time-consuming to send to the cloud for processing and analysis. Fog computing reduces the amount of bandwidth required and the amount of back-and-forth communication between sensors and the cloud, which can have a negative impact on IoT performance. 

Read more @ https://cmiinfoistic.blogspot.com/2022/04/everything-you-need-to-know-about-fog.html

[markiis]

Look at the market interest in Soft Computing! #computing #cloudcomputing #quantumcomputing #retrocomputing #vintagecomputing #computingscience #physicalcomputing #computinghistory #computingteacher #edgecomputing #supercomputing #cognitivecomputing #astrocomputing #spatialcomputing #cloudcomputingservices #8bitcomputing #creativecomputing #mobilecomputing #fogcomputing #ncomputing #computingatschool #highperformancecomputing #nuscomputing #cloudcomputingsystem #womenincomputing #parallelcomputing #recomputing #embeddedcomputing #computingpower #ocrcomputing https://www.instagram.com/p/BzGlbURgMuA/?igshid=o1ocafxz6hpr

[industrytechnologyreports-blog]

Cellular IoT Market Size Worth $9.65 Billion By 2025

The global cellular IoT market is expected to reach USD 9.65 billion by 2025, according to a new study by Grand View Research, Inc. The hype around Internet of Things (IoT) and its tremendous potential to revolutionize machine-to-machine and machine-to-human communications has reached its peak, owing to which numerous technology vendors are prodding different variants of emerging technologies to capitalize on this opportunity. With increased pervasiveness of cellular connectivity and the ready availability of its extensive networks, mobile broadband is anticipated to gain unprecedented significance in IoT.

An important aspect of the growth of cellular IoT is its ability to leverage mobility and range as compared to other IoT access methods, which can be the major differentiating factor over its contemporary service delivery techniques. In addition, cellular networks operate on the existing network infrastructure and offer reliable and quality services with assured security, which would play a vital role in their adoption in both industrial and consumer applications.

While cellular IoT primarily operates on the LTE technology, the emergence of other Low Power Wide Area Networks (LPWAN), such as LoRA and SigFox, and comparatively higher costs of cellular modules may hinder the market growth in the next couple of years. The role played by emerging technologies such as NarrowBand-IoT and NarrowBand-LTE-M will be instrumental in the hustle for gaining M2M market share. These technologies are specifically designed for IoT applications and are on the verge of commercialization with numerous pilot projects being launched in different parts of the world.

Cellular IoT offers numerous advantages such as broader coverage, deep indoor penetration, and smaller module size, owing to which it is largely preferred in high-density deployments. This is also expected to aid in the increased adoption of the technology over the next decade. Furthermore, cellular technologies, especially LTE, are supported and backed by a consortium of established industry players and various organizations such as 3rd Generation Partnership Project (3GPP) and Global System for Mobile Association (GSMA), which is expected to boost the market growth in the coming years.

To request a sample copy or view summary of this report, click the link below: http://www.grandviewresearch.com/industry-analysis/cellular-iot-market

Further key findings from the study suggest:

North     America is expected to maintain its dominant position in the global market     owing to a greater penetration of next-generation LTE technologies,     especially in the U.S.

2G holds the     largest market share in terms of revenue generated; however, it is     expected to gradually lose its share to emerging technologies, such as 4G,     LTE-M, and NB-IoT. An interesting factor about the competing technologies,     is the way in which these technologies operate in relation to each other     (LTE-M vs NB-LTE-M vs NB-IoT) and whether they act as complementary or     rival technologies in IoT

Standard     bodies, including 3GPP, are actively promoting the usage of cellular IoT technology     and network transformation in broadband connectivity, which is expected to     drive market growth and standardization over the forecast period.

Remote     monitoring, cloud connectivity, predictive maintenance, remote operation,     and remote maintenance are some of the major applications being     commercialized in different end-use industries.

Numerous     applications of cellular IoT are anticipated to be the most important     growth driver for the market with a phenomenal increase in device     shipments over the forecast period.

See More Reports of This Category: https://www.grandviewresearch.com/industry/emerging-and-next-generation-technologies

About Grand View Research:

Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services. To help clients make informed business decisions, we offer market intelligence studies ensuring relevant and fact-based research across a range of industries, from technology to chemicals, materials and healthcare.

[omggadgets]

Fog Vs. Cloud: What You Need to Know About IoT Computing

Fog Vs. Cloud: What You Need to Know About IoT Computing

Also known as fogging or fog networking, fog computing can be defined as a decentralized computing infrastructure, where applications, data and storage are both efficiently and logically set up between the data point and the cloud. But why is the practice called “fog” computing? It’s simple. Taken straight from the meteorology term, which refers to clouds close to the surface of the ground, fog…