Edge Computing, sometimes referred to as Mobile Edge Computing or Multi-Access Edge Computing, uses physical locations to deliver powerful computational and data storage solutions for IoT and cloud-based devices. For example, if a heavy equipment supplier sells an edge-enabled product to a construction firm, the manufacturer will be able to determine when the machine will need maintenance, what parts will need replacing, and more—before the machine actually fails. The IoT, an important part of digital infrastructure, has emerged within Industry 4.0 as one of the fundamental technologies helping to create the “factory of the future”. In some cases, storage could be limited to a few gigabytes and processed using a single CPU. Edge Computing can enable the GC to quickly process large amounts of data where it is collected to improve service delivery timeliness and usefulness to Canadians. Beschreibung Beim Edge Computing werden Computer-Anwendungen, Daten und Dienste von zentralen Knoten (Rechenzentren) weg zu den äußeren Rändern eines Netzwerks verlagert. GE Digital partner, Intel, estimates that autonomous cars, with hundreds of on-vehicle sensors, will generate 40 terabytes of data for every eight hours of driving. L'edge computing è un modello di calcolo distribuito nel quale l'elaborazione dei dati avviene il più vicino possibile a dove i dati vengono richiesti. Multi-access edge computing (MEC), formerly mobile edge computing, is an ETSI-defined network architecture concept that enables cloud computing capabilities and an IT service environment at the edge of the cellular networkand, more in general at the edge of any network. The majority of users on PC and mobile devices conduct activities on the internet via web browsers. Information processing can be as simple as data filtering and storage, or as complex as advanced analytics and machine learning. We fully recognize that the software driving edge computing is an essential component of edge computing … When the page is approved and finalized, we will send it for translation. Objective: Understand the impact of edge computing for Web applications and build a roadmap to enable its adoption . Enhanced Data rates for GSM Evolution (EDGE) (also known as Enhanced GPRS (EGPRS), IMT Single Carrier (IMT-SC), or Enhanced Data rates for Global Evolution) is a digital mobile phone technology that allows improved data transmission rates as a backward-compatible extension of GSM.EDGE … Much of the data produced by these devices and their users may not require in-depth processing or analysis as the interaction between them is often unique and fleeting. Unlike cloud computing Infrastructure as a Service (IaaS), Edge architectures vary widely, based on use cases. 源地址:Wiki中关于Edge computing的介绍简介边缘运算(英语:Edge computing),又译为边缘计算,是一种分布式的架构,将应用程序、数据资料与服务的运算,由网络中心节点,移往网络逻辑上的边缘节点来处理。 Edge computing is where server resources, ranging from credit-card-size computers to micro data centers, are placed closer to data and information-generation sources, to reduce the latency and bandwidth issues associated with large-scale cloud computing. By using mobile edge computing technology, a cellular operator can efficiently deploy new services for specific customers or classes of customers. [2], The “edge” of Edge Computing, is usually identified where users and physical things connect and converge with the digital world.[3]. Edge Computing does not compete with cloud computing directly, it complements and completes cloud computing, ensuring that the cloud remains capable of in-depth big analytics work and storage. There is no single edge, there are many edges in a network topology with multiple connections or hierarchy levels. Security is systemic to both edge and fog computing architectures and centralized processing. A vendor's success in one Edge Computing market may have very little to do with its prospects in another Edge Computing market. Multi-access edge computing (MEC), formerly mobile edge computing, is an ETSI-defined network architecture concept that enables cloud computing capabilities and an IT service environment at the edge of the cellular network and, more in general at the edge of any network. Participating companies are:[16] Allot Communications Systems Ltd, ASTRI, AT&T, B-Com, Cadzow Communications Consulting, Ceragon Networks, Cisco Systems Belgium, ETRI, Eurecom, Fujitsu Laboratories of Europe, Hewlett-Packard France, Huawei TechnologiesFrance, Huawei Technologies(UK) Co. Ltd, IBM Europe, Intel Corporation, ISMB, InterDigital Communication, ITRI, JCP-Connect, Juniper, Motorola Mobility Ltd, National Technique Assistance Centre, NEC Europe Ltd, Nokia Solutions and Networks, NTT Corporation, NTT Docomo, Orange, PoLTE, PeerApp Ltd, PT Portugal SGPS SA, Quortus Limited, Red Hat Ltd, Saguna Networks, Samsung Electronics R&D Institute UK Ltd, Sony Europe Ltd, Sony Mobile Communications, Telecom Italia, Telefonica, Telekom Austria AG, Turk Telekom, Vasona Networks, Viavi Solutions, Vodafone Group Services plc, Xilinx Inc., YAANA Ltd, and ZTE Corporation. This approach reduces the need to bounce data back … The Local placement of resources becomes imperative when the conversation turns to IoT. Edge Computing is a distributed information technology (IT) architecture in which data is gathered, triaged, analyzed, stored (short-term), and processed at the periphery of the network. Edge Computing model You may still want to send data to the cloud for further processing and actions, but now you have the option of balancing your workloads more efficiently based on latency, compute power, or data privacy requirements. However, the cloud is still an important part of IIoT equation. This server provides computing resources, storage capacity, connectivity and access to RAN information. However, as digital businesses seek more real-time business moments and interactions, compute and storage will need to be located physically closer to the people and things. The purpose is to remove processing latency, because the data does not need to be sent from the edge to the core central processing system and back again. According to Gartner, by 2022, more than 50% of enterprise-generated data will be created and processed outside the cloud or data center. The origins of edge computing lie in content delivery networks that were created in the late 1990s to serve web and video content from edge servers that were deployed close to users. Sending data to a remote cloud data center for analysis gives long and unpredictable latency. Power and size restrictions are what set the limits. The IoT refers to physical devices (also known as “connected” or “smart” devices) that connect to each other via the Internet or Mobile to Mobile direct communication. MEC technology is designed to be implemented … Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers. こんにちはタイキです。この記事では 5G を支える技術、マルチアクセスエッジコンピューティング(以下、 MEC)についてサクッと解説していきたいと思います。 僕もほとんど無知な状態から勉強して理解したので、僕と同じように 「技術に詳しくないよー」って方にもわかりやすく解説でき … Edge Computing works in various ways, and contributes to IT architectures in different capacities. Edge Computing is a combination of hardware and software (compute, storage, networking, data analytics, data management, etc.) Edge computing is een manier om dataverkeer van IoT-apparaten te stroomlijnen en om lokale data analyses in real-time aan te bieden. Information processing can be as simple as data filtering and storage, or as complex as advanced analytics and machine learning. Edge computing is a networking philosophy focused on bringing computing as close to the source of data as possible in order to reduce latency and bandwidth use. MEC also offers cloud-computing capabilities and an IT service environment at the edge of the network. It may not be valuable enough to implement Edge Computing or it may not be technically possible. Edge Computing bezeichnet im Gegensatz zum Cloud Computing die dezentrale Datenverarbeitung am Rand des Netzwerks, der sogenannten Edge (engl. It does by using small power cell stations to enable data to travel at high speeds—without having to travel long distances to a cloud or data center. Application software can be provided from equipment vendors, service providers and third-parties. New web browsers can offload part of the workload to an Edge Server and improve everything from display speeds to data downloading. An autonomous car sending data to the cloud for analysis and decision-making as it traverses city streets and highways would prove catastrophic. By eliminating the distance and time it takes to send data to centralized sources, data transport speed can improve, as well as the performance of the Edge Devices and applications. SSC should also consider ensuring that all future infrastructure strategies include Edge Computing. as close to the originating data source or user as possible). The basic idea behind MEC is that by running applications and performing related processing tasks closer to the cellular customer, network congestion is reduced and applications perform better. This OSF Edge Computing Group’s objective is to define infrastructure systems needed to support applications distributed over a broad geographic area, with potentially thousands of sites, … The near edge focuses on the automation of manufacturing processes, or the use of data analytics within a facility — to monitor for predictive maintenance needs, process optimization, and more. There will be many edges and many competing ways that edge capability can be delivered for different locations and agility will be required to capitalize on them. In edge computing, data is … Edge Computing deploys data-handling activities or other network operations away from centralized and always-connected network segments and core, and toward individual sources of data capture, such as endpoints like laptops, tablets, or smartphones. With edge computing architecture, complex event processing happens in the device or a system close to the device, which eliminates round-trip issues and enables actions to happen quicker. Edge computing is a dis­trib­uted com­put­ing par­a­digm in which com­pu­ta­tion is largely or com­pletely per­formed on dis­trib­uted de­vice nodes known as smart de­vices or edge de­vices as op­posed to … The IoT and immersive technologies are network-effect technologies that help speed the scaling of digital business with more data, interactions and business moments, as well as better and faster decisions. Similarly, if a person is interacting with a computing device (for example, word processing or creating art using virtual reality tools with a headset and a PC) this also is not the edge of anything. There is a lot of concern about security architecture in the IoT age, where more and more diverse devices are getting different kinds of access to a network. It is very important that SSC senior managers and employees understand that Edge computing and centralized cloud computing are complementary. Edge Computing is a part of a distributed computing/network topology that requires and includes a “core”, either an enterprise data center or a centralized cloud service. However, data transport to and from the cloud is limited by the speed of light and the “size” of the internet “pipes”. A predominant type of Edge Computing is called Mobile Edge Computing (MEC), an architecture that utilizes the edge of the cellular network for enhanced operations. Websites with complex processing, such as Java scripts (and complex Javascript), and websites with a lot of images can be loaded faster (i.e. Con il termine in lingua inglese edge computing (in lingua italiana elaborazione al margine), si contrappone l'elaborazione al margine della rete con quella centralizzata tipica del cloud computing. Processing most of that data at the edge, to filter out signals from the noise, can help focus on the information that is most important and dramatically reduce the cost of data. Edge computing can be "paid for" either by the app provider (B2B) or by the end-user (B2C); how can either approach impact Web usage of edge? Another use is distributed content and Domain Name System (DNS) caching, which reduces server load and speeds up delivery of data to customers.[15]. No wonder that edge computing is in virtually all IoT trend reports. There is also the risk that organizations may place too much data processing at the edge. Combining elements of information technology and telecommunications networking, MEC also allows cellular operators to open their radio access network (RAN) to authorized third parties, such as application developers and content providers. However, there will be a wide variety of choices in between, based on latency, bandwidth, connection to the core, autonomy, security, privacy, regulatory requirements, etc. Computation is largely or completely … Data that is less time sensitive is sent to a cloud or data center for historical analysis, big data analytics, and long-term storage. wind turbine, magnetic resonance scanner, etc. Edge computing with 5G creates tremendous opportunities in every industry. Yet the usability and display speed of a web browser is heavily dependent on the device’s performance and lower-capability devices are strained with the tasks. Edge computing … Edge Computing will not be a single market dominated by one vendor; there will be many types of edges and with many markets, addressed by various architectures, topologies, vendors and providers. Es hat zum Ziel, die Latenz zu minimieren, die Netzüberlastung zu verhindern und die reibungslose Funktionalität von kognitiven Systemen und anderen latenzsensiblen Anwendungen zu ermöglichen. In edge computing, data is … [14] Some common MEC use cases are: Data and video analytics, Location tracking services, IoT, Augmented reality, and local hosting of content, such as videos. MEC technology is designed to be implemented at the cellular base stations or other edge nodes, and enables flexible and rapid deployment of new applications and services for customers. These could be sensors, industrial machines or other devices that produce or collect data and are intrinsic to the IoT. With autonomous vehicles – essentially a datacenter on wheels – Edge Computing plays a dominant role. Latency will be a factor (especially for mission-critical, safety-critical use cases), requiring some processing to be physically close. The two main sectors are commonly broken up into near edge, and far edge. Encryption is not a nice-to-have, but rather a requirement for device safety. Edge Computing locations will develop organically in enterprises and enterprise-owned locations, spread out from cloud providers and carriers, and expand from the footprints of smartphones, appliances, game consoles, smart speakers, and gateways. This is based on third-party geolocation algorithms within an application hosted on the MEC application server. しかしながら、クラウドコンピューティングは、命令などの情報が様々な経路を通ります。スマホを例に挙げても、スマホから基地局、交換局、携帯電話事業者のコアネットワークから、インターネットにつながり、そこからインターネット内の接続ポイントにつながります。 Industry 4.0 transforms the traditional production system into the new model called “Industrial Internet of Things” (IIoT). Le fog computing [1], l'informatique géodistribuée [2], l'informatique en brouillard [2], ou encore l'infonébulisation, consiste à exploiter des applications et des infrastructures de traitement et de stockage de proximité, servant d'intermédiaire entre des objets connectés et une architecture informatique en nuage classique. [7], In the context of IIoT, the edge refers to the computing infrastructure that exists close to the sources of data, for example, industrial machines (e.g. Edge computing is an emerging ecosystem of resources, applications, and use cases, including 5G and IoT. Instead of IoT or Edge Devices needing to constantly call home to centralized cloud infrastructure for instructions or analysis, they are given the ability to accomplish these tasks on their own. 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