As the data is coming from moving vehicles, it needs to be transmitted wirelessly on the 5.9 GHz frequency in the USA; if not done properly the amount of data could easily overload the finite mobile bandwidth. Characteristics of such platforms reportedly include low latency, location awareness and use of wireless access. According to Network World, fog computing is defined as, “the concept of a network fabric that stretches from the outer edges of where data is created to where it will eventually be stored, whether that’s in the cloud or in a customer’s data center. It was solely designed to connect the internet to devices at the periphery of the network. Fog computing refers to a decentralized computing structure, where resources, including the data and applications, get placed in logical locations between the data source and the cloud; … Essentially, this connects the cloud to things on the edge. It facilitates the operation of computing, storage, and networking services … The ICT sector constitutes 4.8% of the European economy. Edge computing promises to bring data computation closer to the data-origin. Fog Computing is the term coined by Cisco that refers to extending cloud computing to an edge of the enterprise’s network. Le Fog Computing fait référence à une infrastructure décentralisée dans laquelle les ressources de calcul et analytiques sont distribuées aux emplacements les plus logiques et les plus efficaces, en tout point du continuum entre la source de données et le datacenter du Cloud. Fog computing can also be deployed for security reasons, as it has the ability to segment bandwidth traffic, and introduce additional firewalls to a network for higher security. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks. Proponents of edge computing praise its reduction of points of failure because each device independently operates and determines which data to store locally and which data to send to a gateway or the cloud for further analysis. Fog computing, like many IT … Remember, the goal is to be able to process data in a matter of milliseconds. This is often done to improve efficiency, though it might also be done for security and compliance reasons. Fog computing purpose is to increase the speed at which data is processed. Fog computing (or edge computing) is a new mega trend in the big data and IoT world - this article explores what it is and what it means. However, a mobile resource, such as an autonomous vehicle, or an isolated resource, such as a wind turbine in the middle of a field, will require an alternate form of connectivity. The distinguishing Fog characteristics are its proximity to end-users, its dense geographical distribution, and its support for mobility. The distinguishing fog characteristics are its proximity to the end users. The biggest drawback is the fact that fog computing adds a ridiculous amount of complexity into a network, and thus adds a certain amount of overhead in business terms. Fog computing has a number of advantages. Fog computing is a decentralized computing infrastructure in which computing resources such as data, computers, storage, and applications are located between the data source and the cloud. Edge computing promises to bring data computation closer to the data-origin. The application services are hosted on the network edges. Many people use the terms fog computing and edge computing interchangeably because both involve bringing intelligence and processing closer to where the data is created. Visit our corporate site. In other situations, the data is not from an isolated sensor, but rather from a group of sensors, such as the electrical meters of a neighborhood, and it is better to process and aggregate the data locally, than to overload the data throughput by transmitting the raw data in its entirety. Copyright 2005 - 2020, TechTarget It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization. The fog node, which is located in a smart router or gateway device, allows for data to be processed on this smart device, so that only the necessary data gets further transmitted to the cloud, and decreases the bandwidth used. There are any number of potential use cases for fog computing. Fog computing is a decentralized computing infrastructure in which data, compute, storage and applications are located somewhere between the data source and the cloud. 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