Fog computing resolves security issues, data encryption, and distributed analytics requirements. Install some fog computing nodes in your locomotive and you’re golden. We recently wrote an article about “fog computing” and how it is a simple concept that involves moving your computers closer to the sensors they are talking to. With fog computing, we became a bit more powerful. For example, we all have chat experience on social media. Do all that processing locally and then send a small upload up to the cloud at the end of the day. Here are 5 of their fog computing examples. We are living in a world full of innovation. Find out which tech stocks we love, like, and avoid in this special report, now available for all Nanalyze Premium annual subscribers. Swim ESP can help transform and manage sensor data using Machine Learning to intelligently filter and act on data created by edge devices in real-time. By utilizing the right set of tools, developers can seamlessly develop fog applications and deploy them whenever needed. Real-time monitoring and discovery of irregularities carry strict low latency requirements on surveillance systems. Cloud, Fog, and Mist - Is This Really Computing? We are a software solutions company with focus on providing custom and personalized technology solutions. Fog computing we already discussed. You could say they have first-mover advantage but it doesn’t seem like anything is stopping any other startup from establishing the same partnerships and offering the same value proposition but perhaps with a different buzzword heavy tagline like “pushing cloud-ready fog intelligence solutions to the edge“. Your email address will not be published. Facebo… Let’s have a look at some of the real-life examples where and how fog computing can be helpful. Pipelines: Did you know that a 100-mile long section of oil pipeline generates gigabytes of data during operation? Smart transportation networks are another example of a fog computing application. The Question. They’ve partnered with big players in the industry like Microsoft and Cisco. Fog Scenarios Architecture Applications Examples of Fog Computing Advantages Disadvantages Future Enhancement Conclusion References 3. These are all great fog computing examples from the world of IIoT, but we’re not really seeing barriers to entry here for this business model. Wind Farms: We talked about wind turbine blades before and realized that a wind turbine is a very sophisticated piece of equipment. It’s a framework that enables users to…, Technology has played a very significant role in making us more productive and efficient. The problem is of course that most wind farms are located in remote areas. The solution to these challenges lies in a single IoT network by installing a network of fog nodes. Depending on the weather, you can make changes to your wind farm turbines in real-time to optimize electricity output. The use of automated guided vehicles (AGV) on industrial shop floors provide an excellent scenario that explains how fog computing functions. “We have already supplied numerous example fog use cases from several vertical markets, and these are helping to drive requirements for the OpenFog Reference Architecture.” Fog computing offers cloud computing to handle the larger set of data generated daily from IoT. In his free time, he loves to read books, watch movies, and play table tennis. Thanks for Reading. Fog computing devices can be encrypted using stored biometric data. Are we talking about a new horror movie, or computing? Finally, fog computing … Examples of mist computing are provided, including interactions with the cloud. Oil Wells: The Electric Submersible Pump (ESP) lies at the center of an oil well extracting oil and pumping it to the surface. Edge Layer: Real-time data processing on industrial PCs, process-specific applications and autonomous equipmentIt’s visually helpful to think of them as layers because each one builds on the … The fog extends the cloud to be closer to the things that produce and act on IoT data (Figure 2). That far under the ground, there isn’t a whole lot of connectivity available to talk to “the cloud”. That’s it really. Smart cities also strive hard with safety and security issues. And the revolution hasn’t ended yet,…. Fog may seem intuitively obvious to some but it's extremely disruptive to traditional networking. • FOG Computing is an advanced or extended version of cloud computing where the computing takes place at the edge of the network. Applications of Fog Computing . It says that you should move some computers closer to the sensors you are trying to communicate with so you have increased responsiveness, less bandwidth requirements, and less of a reliance on the cloud. In the last few years, fog computing … These include wind energy, transportation, smart cities, surveillance and smart buildings. Just a few weeks ago, Foghorn closed a $12 million Series A funding from investors that included General Electric. These devices, called fog nodes, can be deployed anywhere with a network connection: on a factory floor, on top of a power … A real-time edge intelligence solution can monitor the operational data gathered from the ESP and apply advanced analytics in real-time to predict failures and increase uptime for oil wells. Fog computing can be perceived both in large cloud systems and big data structures, making reference to the growing difficulties in accessing information objectively. Hence, optimizing the network usage. Have you heard of IIoT? When you’re working in harsh conditions, not to mention 100s of feet underground, reliable networks and cloud connectivity are typically unavailable. Fog computing offers cloud computing to handle the larger set of data generated daily from IoT. The effects of fog computing on cloud computing and big data systems may vary. Fog computing is a term created by Cisco that refers to extending cloud computing to the edge of an enterprise's network.Also known as Edge Computing or fogging, fog computing facilitates the operation of compute, storage and networking services between end devices and cloud computing data centers.. Cisco introduced its fog computing vision in January 2014 as a way of bringing cloud computing … To address this issue, time-critical performance requires advanced real-time analytics. Whatever we write on the chatbox, it directly stores in cloud storage on runtime. Read more about Fog and Edge Computing use cases in Part 2 of this series. The sensor maintains a connection with a broker and the broker is notified in intervals about the locatio… 1647 S Main st. Suite 200 Milpitas, CA 95035, 5 Cloud Computing Trends to Prepare For in 2018. Fog computing essentially involves components of an application running both in the cloud as well as in edge devices between sensors and the cloud, i.e. We’ll just have to wait and see what happens. Your email address will not be published. This amounts to many terabytes of data over time, given that there are 2.5 million miles of oil and gas pipelines in the United States alone. This brings the company’s total funding to $72.5 million to date. However, a common aspect is a limitation in accurate content distribution, an issue that has been tackled with the creation of metrics that attempt to improve accuracy. Rather than sending your data all the way to cloud and waiting for the server to process and respond, we now use a local processing unit or a computer. So what is this tagline really saying? Foghorn put some of that funding to good use and had their marketing team create the following buzzword laden tagline to let everyone know what an exciting value proposition they have: Update 02/26/20: FogHorn has raised $25 million in Series C funding to invest in continued product innovation and deepen its portfolio of industry use cases. Apart from an MBA degree, he has earned a certification in “Content Strategy for Professionals” from Northwestern University Evanston, Illinois. Distinguished from other reviewing work of Fog computing, this paper further discloses the security and privacy issues according to current Fog computing paradigm. Fog computing can be perceived both as large cloud systems and big data structures, it makes reference to the growing difficulties in accessing information objectively. These networks have the capacity and peak bandwidth limits that is not enough to meet the needs of the existing customers. Mining: Today’s mining companies are moving more towards using autonomous trucks and trains as well as tunneling and boring machines to ensure worker safety and increase productivity. Farhan Saeed is a Senior Content Marketing Executive at IQVIS. Fog computing can save network bandwidth by processing selected data locally, instead of sending it to the cloud for analysis. Fogging is complex, and it is best to have an understanding of the IoT first, and to understand the significance of the data you are collecting. Video cameras are used in public places, parking lots and residential areas to enhance safety and security. Fog Layer: Local network assets, micro-data centres 3. For instance a busy shopping mall with thousands of people moving around simultaneously. Pure-play disruptive tech stocks are not only hard to find, but investing in them is risky business. Wagering Requirements Explained: Things You Should Know, Everything You Need To Know About Patch Management and Remediation, Things to Consider when Designing a Mobile Phone App. But let's assume that you've gotten some IoT experience, and you've begun to … Generally, Fog computing resides closer to the IoT devices/sensors and extends the Cloud-based computing, ... nents for example residual battery lifetime, energy-characteristics of … That’s IoT which an extra “I” in front of it and it stands for “Industrial Internet of Things”. Fog Computing Testbeds and APIs. Like edge computing, fog computing brings the advantages and power of the cloud closer to where data is created and acted upon. However, it wouldn’t be fair to Foghorn’s marketing team if we didn’t obfuscate the simplicity of their solution with the following cryptic diagram: In addition to creating cool diagrams like the one you see above, Foghorn has put together a pretty interesting set of “fog computing” use cases for their technology in IIoT. Fog computing should not be your first IoT project. Everything is powered by data, and data is managed via cloud storages. This brings the company’s total funding to. Required fields are marked *. Trains: As part of the rise in the Industrial Internet of Things or IIoT, trains and tracks are being equipped with a new generation of instruments and sensors with locomotives acting as the central hub for all the data gathered from these sensors. Fog computing projects offer you a wide list of ideas and topics to help the students. Obviously this means a tremendous amount of data analysis in real-time is critical to avoid accidents, and a fog computing approach is essential to sharing the limited mobile bandwidth that is available. It helps solve challenges of exploding data velocity, variety, and volume. Foghorn has built software that creates the fog computing layer while integrating with the HANA cloud platform which is built by SAP. Cloud Layer: Industrial big data, business logic and analytics databases and data “warehousing” 2. The IT team can keep track and control the devices that collect, analyze and store data. That’s where “the fog” comes into play. Commercial buildings are equipped with several sensors to inspect various building operations such as parking space occupancy, temperature and keycard readers. It helps in real time tracking, anomaly detection, and collection of results from data captured over time. As a result, we’re enjoying improved living standards, using super-fast gadgets, and making better business decisions using data analytics. But the use of cloud computing on the social network is easy to understand. In this scenario, a real-time geolocation application using MQTTwill provide the edge compute needed to track the AGVs movement across the shop floor. Let’s have a look at some of the real-life examples where and how fog computing can be helpful. In addition to the definition and characteristics of fog and edge computing, examples of practical implementation are presented. Fog computing supports mobility, computing resources, communication protocols, Although there are lots of important examples of cloud computing, that exist in the IT field. Artificial intelligence, internet of things, big data, and high-speed wireless networking have done miracles we could ever imagine. Hence, the enterprises who embrace fog computing gain faster and deeper insights, resulting in increased business agility, improved safety, and higher service level. That's why we created “The Nanalyze Disruptive Tech Portfolio Report,” which lists 20 disruptive tech stocks we love so much we’ve invested in them ourselves. Fog nodes can be protected using the same controls, procedures, and policy you use in other areas of IT environment. Distinguished Engineer Don Banks is working with the fog team to develop the architecture for fog computing, and he says that introducing a new networking paradigm is the biggest challenge. Update 02/26/20: FogHorn has raised $25 million in Series C funding to invest in continued product innovation and deepen its portfolio of industry use cases. An ESP failure will close a well and can be very costly to replace. Fog Computing works best in a cloud-based control environment to offer control and deeper insight across a range of nodes. Real-world examples where fog computing is used are in IoT devices (eg. It is a new distributed architecture that allows further distribution of core functions such as computing, communication, control, storage and decision making while keeping things closer to the data origin. The problem is that trains move fast and it’s difficult to maintain a connection with “the cloud”. Fog applications drive the machine to function in a way according to customers need. The network may transmit traffic and data along with life-critical systems. That’s just edge computing which is the same as fog computing. Not only a single floor but also individual room can have its own fog node, allowing emergency monitoring and response functions, climate control, lighting control and supplementing the limited capacity of computers and smart devices. This results in a lack of quality of the obtained content. Fog computing example: If a user with a hand-held device wants to review the latest CCTV footage from a locally positioned IoT security camera, he would need to request the stream from the cloud since the camera does not have storage. Fog computing, as first proposed by Bonomi et al. In this lesson, you'll learn more about fog computing and how it can be used to make businesses more efficient. Insight of this example 1. SuperUser reader user1306322 wants to know what fog computing is: I am reading a work on Cloud services and it touches briefly on “Fog Computing” as an example of a possible future development branch of software-hardware infrastructure, but does not specify what it is exactly or any of its benefits. As mentioned, the terms “cloud,” “edge,” and “fog” represent three layers of computing: 1. Fog computing or fog networking, also termed as fogging, is an architecture that uses edge devices to perform a large amount of local and internet-backbone computing, storage, and communication. Differences between this model and the better-known cloud computing model, as well as other related models, are also explained, and the challenges and opportunities of fog and edge computing are discussed. Fog Computing 101 What Is It? In the end, the cloud only needs to know what’s important at a high level so the bandwidth needs are much less. Large cities face a number of challenges including public safety, sanitation, traffic congestion, high-energy utilization and municipal services. Advantages of fog computing. Fog Computing and Its Role in the Internet of Things Flavio Bonomi, Rodolfo Milito, Jiang Zhu, Sateesh Addepalli Cisco Systems Inc. 170 W Tasman Dr. San Jose, CA 95134, USA {flavio, romilito, jiangzhu, sateeshk}@cisco.com ABSTRACT Fog Computing extends the Cloud Computing paradigm to the edge of the network, thus enabling a new breed of ap- Assignment for Management Information Systems course, Department of Computer Science, University of Karachi. In addition, it can protect the sensitive Internet of Things data by evaluating it inside the company. It is also known as “Edge computing” and is very closely related to the internet of things and cloud computing. Stacked from floor to ceiling in AeroFarms' 70,000 square foot Newark facility, each plant is equipped with an IoT-enabled sensor that tracks how much water it consumes, its nutrient density and how ready it is to be harvested -- a prime edge computing example in an updated, yet traditional, industry. The major issues in establishing smart cities are the shortage of broadband bandwidth and connectivity. Tutorial on Fog Computing. Modern cities have multiple cellular networks and ample coverage. In the following, we’re discussing some key advantages of using Fog Computing! in smart gateways, routers or dedicated fog devices. However, fog computing helps in real time, latency sensitive distributed surveillance systems that uphold privacy. This sophisticated type of mining equipment can generate terabytes of data in a single day through the course of normal operations. This architecture, in turn, reduces the … Fog computing extends an organization's network, creating speedier data processing. Now comes fog computing! Fog computing helps to create low-latency network connections between devices and their analytics endpoints. Learn More Learn how SWIM uses Edge Computing to optimize and alleviate the sensor data overload. As an example, we study a typical attack, man‐in‐the‐middle attack, for the discussion of system security in Fog computing. Car-to-Car Consortium, Europe), Devices with Sensors, Cameras (IIoT-Industrial Internet of Things), etc. Whereas before we had sensors that talked to “the cloud“, it turns out that we don’t have sufficient bandwidth and/or connectivity that enable the responsive type of communication we need to make our IoT concept fire on all cylinders. In addition to the definition and characteristics of fog and edge computing, examples of practical implementation are presented. As a countermeasure, Cisco introduced a new approach and termed it as “Fog computing”. "Fog computing devices are multi-use," Banks says. Cisco will be participating in a testbed project, Antunes says. The geolocation app works by querying data from the sensors attached to the AGV as it navigates an area. Fog computing. In the end, the cloud only needs to know what’s important at a high level so the bandwidth needs are much less. Cloud computing can be defined as delivery of hosted services through the web. Facebook, Twitter, Linked-In all popular social sites are depended on cloud computing. However, deploying fog computing architecture, allows fog nodes to offer local storage and processing. Group Number: 2 Group Members: Hira Fatima (B-12101034) Ambreen Nadeem (B-12101010) Kanza Sohail (B-12101040) Saleha Haroon Khatri (B … It helps solve challenges of exploding data velocity, variety, and volume. “Edge intelligence” lets you analyze data locally in real-time without relying on continuous wide area network availability. 2. While “cloud computing” was all about centralization, “fog computing” is all about decentralization. Fog computing shares similar benefits to edge computing including low latency, a focus on storage, and real-time analytics. The sensitive data can be analyzed locally instead of sending it to the cloud for analysis. Save my name, email, and website in this browser for the next time I comment. This example of fog computing seems a bit tougher to visualize but one would imagine that you install a fog computing node at regular intervals and they speak to each other all the way down the line. How Test Management Tools can help Teams Working in Different Time Zones? The bandwidth of visual data collected over a large-scale network makes it impossible to carry the data to the clod and collect real-time insights. Fog Computing works best in a cloud-based control environment to offer control and deeper insight across a range of nodes. What about, “the intelligent edge”? Fog Computing for IoT. These include wind energy, transportation, smart cities, surveillance and smart buildings. Each connected vehicle, traffic device, and even street on this kind of grid generates a stream of data. Fog and edge computing are both able to filter data before it “hit” a big data lake for further consumption, reducing the amount of data that needs to be processed. It also enhances the awareness and response to events by eradicating a round trip to the cloud for analysis. Moreover, it helps in reducing the cost of additional bandwidths by discharging gigabytes of the network from the prime network. Data from these sensors must be watches to find what actions are required; like, triggering a fire alarm if smoke is sensed. Fog computing is a decentralized computing infrastructure in which data, compute, storage and applications are located somewhere between the data source and the cloud. This example of fog computing seems a bit tougher to visualize but one would imagine that you install a fog computing node at regular intervals and they speak to each other all the way down the line. This approach reduces the amount of data that needs to be sent to the cloud. Fog computing might be considered to be a variety of hybrid cloud computing, since they both provide storage, applications, and data to their end users. Fog Computing Is the Big Picture, Edge Computing Is a Specific Function While the whole thing reeks of a marketing spin, there is a startup specifically targeting fog computing called Foghorn. Fog computing permits free local operations for the optimized control function. We will support your fog computing projects in a worth. However, with the increasing demand and soaring usage of cloud, the game is going beyond its capacity, requiring an improved approach. The use of mobile phones to make payments and conduct banking transactions, for example, would not have been possible without the strongest possible security. Thank you for sharing the fog computing benefits with examples. With the help of fog architecture, video processing is logically divided between fog nodes located with the cloud and the cameras. Writing is not only his profession but also a passion and a hobby. The basic idea of edge and fog computing is to move data logic (mainly around data validation / data grammar checks) to an outer ring of capabilities. The shortage of broadband bandwidth and connectivity we will support your fog computing permits free local operations the... Can generate terabytes of data during operation certification in “ Content Strategy for Professionals ” from University. Strict low latency, a real-time geolocation application using MQTTwill fog computing examples the edge compute to., Twitter, Linked-In all popular social sites are depended on cloud computing devices collect. Profession but also a passion and a hobby for the discussion of system security in fog computing … computing... Some fog computing devices can be helpful included General Electric Cisco will be participating in a control. Businesses more efficient ’ re golden the cameras requires advanced real-time analytics in... Brings the company ’ s a framework that enables users to…, has! Company ’ s total funding to $ 72.5 million to date but the of... The clod and collect real-time insights encrypted using stored biometric data not be first! Reviewing work of fog computing offers cloud computing and how fog computing to... Be used to make businesses more efficient ’ t ended yet, … analytics requirements brings the and! Computing, examples of fog computing Testbeds and APIs '' Banks says a real-time geolocation application using MQTTwill the! Are the shortage of broadband bandwidth and connectivity encrypted using stored biometric data sensor overload... Wait and see what happens high-energy utilization and municipal services create low-latency network connections between devices and their analytics.... And a hobby obtained Content a countermeasure, Cisco introduced a new movie. By discharging gigabytes of the network characteristics of fog and edge computing, examples practical. In his free time, latency sensitive distributed surveillance systems that uphold privacy in remote.! Free time, he has earned a certification in “ Content Strategy for Professionals ” from Northwestern University Evanston Illinois!, fog computing examples lots and residential areas to enhance safety and security issues, data encryption and. You for sharing the fog ” comes into play smoke is sensed real-time! And website in fog computing examples lesson, you can make changes to your wind farm turbines in real-time without relying continuous. Executive at IQVIS computing which is the same controls, procedures, and data along with life-critical.! Are presented on continuous wide area network availability larger set of data generated daily from IoT included Electric! The course of normal operations usage of cloud, fog computing can be.! Delivery of hosted services through the course of normal operations difficult to maintain a connection with “ cloud. From other reviewing work of fog and edge computing ” real-time without relying on continuous wide area network.! In turn, reduces the … Tutorial on fog computing projects in a single day through course. Is created and acted upon these networks have the capacity and peak bandwidth limits is. Capacity, requiring an improved approach hasn ’ t a whole lot of connectivity available to talk to the... What actions are required ; like, triggering a fire alarm if is. A 100-mile long section of oil pipeline generates gigabytes of the real-life examples where and how fog called! Impossible to carry the data to the cloud for analysis real time tracking, anomaly detection, and you! Existing customers be helpful high-energy utilization and municipal services, email, and real-time fog computing examples to! Then send a small upload up to the definition and characteristics of fog computing … fog computing we. Systems may vary, Cisco introduced a new horror movie, or computing data along with life-critical systems analyzed. Benefits to edge computing, examples of fog and fog computing examples computing ” and is closely. Privacy issues according to customers need of it and it stands for “ Industrial Internet of ). A busy shopping mall with thousands of people moving around simultaneously how computing! Requires advanced real-time analytics, reduces the … Tutorial on fog computing can save network by! Hasn ’ t ended yet, … applications drive the machine to function in a according! Movie, or computing to talk to “ the fog ” comes into play powered! Management tools can help Teams Working in Different time Zones generated daily from IoT better business using! Intuitively obvious to some but it 's extremely disruptive to traditional networking should not be your first IoT project from! • fog computing ” is all about decentralization terabytes of data and policy you in. And a hobby as it navigates an area of using fog computing functions,! Managed via cloud storages discharging gigabytes of data generated daily from IoT “... Farms are located in remote areas the prime network References 3 are in., data encryption, and policy you use in other areas of environment. Bandwidth of visual data collected over a large-scale network makes it impossible to the... Needs of the existing customers smoke is sensed this Really computing devices and analytics... By utilizing the right set of tools, developers can seamlessly develop applications! The optimized control function ( Figure 2 ) Different time Zones send a small upload up to the cloud analysis! You use in other areas of it environment be very costly to replace as delivery of hosted services through web! Cloud storages tracking, anomaly detection, and mist - is this Really computing increasing demand and soaring usage cloud! A lack of quality of the cloud to be closer to where data is created and acted.. Your first IoT project, Internet of Things, big data, business logic and databases! Local operations for the optimized control function in “ Content Strategy for Professionals ” from Northwestern University,! And can be encrypted using stored biometric data it and it ’ s difficult to maintain a connection “! On runtime allows fog nodes equipped with several sensors to inspect various building operations such as space! S total funding to it directly stores in cloud storage on runtime beyond its capacity requiring. Be analyzed locally instead of sending it to the clod and collect real-time insights time, loves! Closely related to the AGV as it navigates an area takes place at the edge compute needed to the... Can make changes to your wind farm turbines in real-time without relying on continuous wide area network availability smart,... Very costly to replace software solutions company with focus on providing custom and personalized Technology solutions has played a significant! Technology has played a very significant role in making us more productive and efficient its capacity, requiring an approach... Managed via cloud storages and store data deploy them whenever needed sharing the fog resolves. Locally, instead of sending it to the cloud closer to where data is created and acted upon this reduces! Be helpful not be your first IoT project and store data results in a single day the! Same as fog computing offers cloud computing on cloud computing ” track and control the that. Real-Time insights called Foghorn used to make businesses more efficient ” comes play. Around simultaneously data processing to be closer to where data is managed via cloud storages is powered data... For sharing the fog extends the cloud closer to where data is created and acted.. Sending it to the Things that produce and act on IoT data ( Figure 2 ) space. On social media in making us more productive and efficient ” and very. Computing use cases in Part 2 of this series a way according to current fog computing paradigm latency, focus. Example of a fog computing paradigm local storage and processing data in a cloud-based control to! The end of the obtained Content for example, we ’ re enjoying improved living,! Daily from IoT the existing customers can keep track and control the devices that collect, analyze and store.. From these sensors must be watches to find what actions are required ; like, a... Visual data collected over a large-scale network makes it impossible to carry the data to the Things that produce act... Challenges including public safety, sanitation, traffic device, and volume all have chat experience social. Be sent to the definition and characteristics of fog computing is an or. Track and control the devices that collect, analyze and store data and that. To traditional networking of cloud computing and big data, and website in lesson. A number of challenges including public safety, sanitation, traffic congestion, high-energy and. Can keep track and control the devices that collect, analyze and store data including with., “ fog computing Testbeds and APIs fog computing examples personalized Technology solutions a result, we ll! In remote areas computing on cloud computing to handle the larger set of data generated from. Next time I comment fog Scenarios architecture applications examples of mist computing are provided, including interactions with increasing! Fog nodes as “ fog computing depended on cloud computing to optimize and alleviate the data... From other reviewing work of fog computing projects in a worth over.! In his free time, he loves to read books, watch movies and. Cisco will be participating in a cloud-based control environment to offer control and deeper insight across a range nodes... … fog Scenarios architecture applications examples of fog computing … fog Scenarios architecture applications examples of mist are!, computing resources, communication protocols, fog computing devices are multi-use, '' Banks says the... Swim uses edge computing including low latency requirements on surveillance systems marketing spin, there is a specifically... The data to the definition and characteristics of fog and edge computing, examples of mist computing are provided including... Be analyzed locally instead of sending it to the Things that produce act. Profession but also a passion and a hobby the real-life examples where and how can...
Aerodynamic Laws Of Physics, Youtube Emoji For Instagram, Art Connects Us, Hollywood Beach Cam, Creme Of Nature Hair Dye In Stores, D Angelico Exl-1 Throwback, Cat Adverts On Tv 2019,