weather or market pricing), and improved modern machine learning and analytics.[18]. 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. Processing data over a vast distance just is not going to get it done when near-instantaneous reactions are expected.[23]. Let’s consider an example of how resource-heavy devices can exploit edge computing … 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. It also collects data about storage, network bandwidth, CPU utilization, etc., for each application or service deployed by a third party. For serious IoT implementations, analytics capacity needs to be nearby. 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. SSC should be cognisant of these organically created Edge points and leverage them for network efficiencies and cost savings. Encryption is not a nice-to-have, but rather a requirement for device safety. Wikipedia has defined the edge ‘computing technology’ as “pushing the frontier of computing application, data and services away from centralised nodes to the logical extremes of the network. Gardner, C., Kindness, A., O'Donnell, G., Hopkins, B., Mu, D., Pelino, M., Lynch, D. (2018, December 5). [1] The move toward Edge Computing is driven by mobile computing, the decreasing cost of computer components and the sheer number of networked devices in the Internet of Things (IoT). This is based on third-party geolocation algorithms within an application hosted on the MEC application server. Edge computing is een manier om dataverkeer van IoT-apparaten te stroomlijnen en om lokale data analyses in real-time aan te bieden. Edge Computing bildet also eine Zwischenschicht zwischen dem Kern-Rechenzentrum und der IoT-Sensorik der Endgeräte. This server provides computing resources, storage capacity, connectivity and access to RAN information. The majority of users on PC and mobile devices conduct activities on the internet via web browsers. Edge Computing ist das Verfahren zur Verarbeitung von Daten an der Netzwerkperipherie, d. h. dort, wo die Daten generiert werden, anstatt in einem zentralen Data Warehouse für die Datenverarbeitung. Edge computing is the science of having the edge devices do this without the need for the data to be transported to another server environment," says Red Hat chief technology strategist E.G. performing information processing at or very near the data source. 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. The IIoT involves accessing real-time data that allows manufacturing partners and their machines to share information accurately and quickly. According to Gartner, by 2022, more than 50% of enterprise-generated data will be created and processed outside the cloud or data center. SSC should consider the talent it requires for the custom work required with Edge Computing, as well as aligning Edge Computing sourcing strategies (i.e. This approach reduces the need to bounce data back … Data is processed at the edge, and all or a portion of it is sent to the central processing or storage repository in a corporate data center, co-location facility, or IaaS cloud. Como indican en NetworkWorld, la llamada Edge Computing "permite … Edge computing is transforming the way data is being handled, processed, and delivered from millions of devices around the world. 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 (i.e. B2B model more widespread at the moment; in that model, from the client perspective, edge is "just" another type of cloud deployment. (i.e. 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. These Edge Devices typically reside away from the centralized computing available in the cloud.[8]. Since, MEC architecture has only recently been proposed, there are as yet very few applications that have adopted this architecture. 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. It is simply a sensor that sends data to a local computer, which only local users can interact with. The explosive growth of internet-connected devices – … Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers. India: 10th IEEE International Conference on Intelligent Systems and Control (ISCO’16), India. 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. The multi-technology cell aggregation site[clarification needed] can be located indoors or outdoors. We welcome your feedback. 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. The definition of “closer” falls along a spectrum and depends highly on … This provides a significant increase in the rate and amount of data that manufacturers can process in real-time. The platform also provides a set of middleware application and infrastructure services. Additionally, if an autonomous car is in a snow storm and loses internet connection, it no longer matters as the processing and real-time actions do not require action information from an outside source when employing Edge Computing. How Edge Computing Redefines Infrastructure, Digital Business Will Push Infrastructures to the Edge, Edge Computing Will Radically Alter Your Infrastructure Strategy, What is edge computing and how it’s changing the network, 4.0 Reasons Why Edge Computing is Relevant for Industry 4.0, Edge Computing as it Relates to the Manufacturing Industry, Edge computing vs. fog computing: Definitions and enterprise uses, The Future Shape of Edge Computing: Five Imperatives, An edge computing architecture upends the data center, http://wiki.gccollab.ca/index.php?title=Technology_Trends/Edge_Computing&oldid=11285, Creative Commons Attribution 4.0 International License. Robust Edge Computing systems will let organizations keep the bulk of IT and operational technology systems on secured parts of the networks. 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. In edge computing, data is … Bittman, T., Gill, B., & Markkanen, A. However, the cloud is still an important part of IIoT equation. [10], Bombadier, an aerospace company, opted to use sensors in its aircraft in 2016. 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。 At the same time, markets that mature faster (for example, consumer-oriented markets such as the smart home) will influence the technologies in other, adjacent markets. 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 following themes have been identified to guide our initial exploration: understanding in what context and for what use cases edge computing … That move offered an opportunity to generate more revenue by giving Bombadier real-time performance data on its engines so it can address problems proactively without grounding its aircraft to fix an issue. MEC characteristics include: Proximity, Ultra-low latency, High bandwidth, and Virtualization.[15]. Sending data to a remote cloud data center for analysis gives long and unpredictable latency. The edge proliferates wherever IoT markets grow and will intrinsically encompass a diverse set of use cases, technologies, requirements, and command standards and rules. 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 … These could be sensors, industrial machines or other devices that produce or collect data and are intrinsic to the IoT. In edge computing, data is … Mobile Edge Computing or Multi-Access Edge Computing (MEC) is a network architecture concept that enables cloud computing capabilities and an IT service environment at the edge of the cellular network. Crucially, in a location physically closer to the device. 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”. A Survey on Mobile Edge Computing. Information processing can be as simple as data filtering and storage, or as complex as advanced analytics and machine learning. Edge computing is computing that’s done at or near the source of the data, instead of relying on the cloud at one of a dozen data centers to do all the work. Industry 4.0 transforms the traditional production system into the new model called “Industrial Internet of Things” (IIoT). When the page is approved and finalized, we will send it for translation. 概要 † IoT Gatewayを強化したモノ。 データの生成元、または、その近くでの データ処理を容易にするソリューション。 フォグ・コンピューティング エッジデバイスとクラウドサービスとのネットワーク接続 クラウド(雲)よりもデバイスに近いところに位置しているためにフォグ(霧) Additionally, while interoperability and standards are important for markets to develop, the various Edge Computing markets will have very different standards and requirements for interoperability. Much of the data at the edge will need to be processed at the edge, acted upon at the edge, and filtered prior to data being forwarded to the core. [9], Edge Computing uses dedicated, on premise resources at the shop-floor level, rather than the remote servers that cloud computing relies on. 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. The challenge, again, is identifying mission-critical points on the network and giving them priority access to Edge Computing. There are several related terms that have been used in place of the “Edge Computing” term. Edge Computing … With the deployment of Edge Computing on IoT devices, SSC will need to look at the impact on end-state data center compute requirements once these devices start to process information locally. To understand … Edge computing is done at or near the source of generated data, often in difficult to reach locations such as wind turbines and oil … [17] In some cases, latency and processing requirements can be satisfied by interactions with a central core — a cloud computing provider or an enterprise data center. 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. Some of these markets will be massive, and others will be much focused and niche specific. Cars with autonomous driving capabilities need the brakes … Please use the discussion page for suggestions and comments. One strategy is to pursue Edge Computing to aggregate data further out, and encrypt it as it passes further into the network. What is edge computing? Like in a gateway device or a PC sitting next to the device. Edge Computing solutions today tend to be highly customized and vertical-industry specific. This technology enables analysis and data gathering to occur at the source of the data. Beschreibung Beim Edge Computing werden Computer-Anwendungen, Daten und Dienste von zentralen Knoten (Rechenzentren) weg zu den äußeren Rändern eines Netzwerks verlagert. But as more compute, store, and analytic capability is bundled into smaller devices that sit closer to the source of data — namely, industrial machines — Edge Computing will be instrumental in enabling edge processing to deliver on the promise of the IIoT. The technology also reduces the signal load of the core network,[7] and can host applications and services in a less costly way. 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. Data may be processed at the point of origin by an intelligent device or sent to an intermediary server located in close geographical proximity. It also has the ability to store and process content close to cellular subscribers, for faster response time. “Edge computing” is a type of distributed architecture in which data processing occurs close to the source of data, i.e., at the “edge” of the system. 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. It is inserted into a logical end point of a network (Internet or private network), as part of a larger cloud computing … This eliminates the need to send engine sensor data back to a central server, either on the plane or in the cloud to determine more pressing tactical issues, such as if the engine is overheating or burning too lean.[11]. Latency will be a factor (especially for mission-critical, safety-critical use cases), requiring some processing to be physically close. This allows some of the workload to be offloaded from the cloud or user’s device at a location closer to the user for processing, while at the same time speeding up applications that require a low latency response on the user’s device. [5] Most data created and processed at the edge will never leave the edge. With autonomous vehicles – essentially a datacenter on wheels – Edge Computing plays a dominant role. 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. Technical standards for MEC are being developed by the European Telecommunications Standards Institute (ETSI), which created a new Industry Specification Group in 2014 for this purpose. 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. Technical standards for MEC are being developed by the European Telecommunications Standards Institute, which has produced a technical white paper about the concept. New web browsers can offload part of the workload to an Edge Server and improve everything from display speeds to data downloading. "Edge computing is apparently going to be the perfect technology solution, and venture capitalists say it's going to be a multi-billion-dollar tech market," remarked Kevin Brown, CTO and … [22], SSC may want to consider setting up tiers of processing to centralize where in-depth processing should occur and be stored, and where tactical local processing that does not require as much computing horsepower at the edge. 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. There is also the risk that organizations may place too much data processing at the edge. L' edge computing (informatique en périphérie [1] ou informatique en périphérie de réseau [1]) est une méthode d'optimisation employée dans le cloud computing qui consiste à traiter les données à la périphérie du réseau, près de la source des données. Met edge computing kan data die wordt geproduceerd door Internet of Things (IoT)-apparaten, dichter bij de locatie (bron) worden verwerkt. SSC should consider action plans that prepare the network for disruption among vendors by creating an exit or replacement strategy for Edge Computing systems. Edge computing: Extending infrastructure to where business happens The edge is a network architectural model that brings technology resources, including compute and related infrastructure, closer to the … Gigabytes and processed at the “ Edge ” in close geographical proximity machine ( VM ) images or containers operating. These could be sensors, Industrial machines or other devices that produce or data. Advances, Edge architectures vary widely, based on use cases by evaluating requirements for privacy, security regulatory. And networking—closer to applications, devices and users the limits that organizations may place too much data processing at RAN! 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