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EDGE devices_ ERTOS_ IOT_ presentation_P.pptx
- 1. EDGE COMPUTING Dr. K.V.SRIDHAR Dept. of ECE, NIT WARANGAL
- 2. Introduction to Edge computing(EC) • Distributed information technology (IT) architecture in which client data is processed at the periphery of the network. • Data is the life blood. • Today's businesses are awash in an ocean of data. • The traditional computing paradigm built on a centralized data center. • Bandwidth limitations, latency issues and unpredictable network disruptions can all conspire to impair such efforts. 06-05-2024 kvs 2 Health care Smart surveillance system
- 3. Intro cont.. • EC moves some portion of storage and compute resources out of the central data center . • process and analyze where the data is actually generated • Only the result of that computing work at the edge, such as real-time business insights, equipment maintenance predictions or other actionable answers, is sent back to the main data center for review and other human interactions. • EC is reshaping IT and business computing. 06-05-2024 kvs 3
- 4. • EC- refers to a range of networks and devices at or near the user. • Edge is about processing data closer to where it’s being generated, enabling processing at greater speeds and volumes, leading to greater action-led results in real time. • offers some unique advantages over traditional models, where computing power is centralized at an on-premise data center. • Putting compute at the edge allows companies to improve how they manage and use physical assets and create new interactive, human experiences. • Some examples of edge use cases include self-driving cars, autonomous robots, smart equipment data and automated retail. 06-05-2024 kvs 4
- 5. How does edge computing work? • EC- all a matter of location. • Traditional enterprise computing, data is produced at a client endpoint. • Data is moved across a WAN such as the internet, through the corporate LAN. • Results of that work are then conveyed back to the client endpoint. • proven and time-tested approach to client-server computing. • number of devices connected to the internet, and the volume of data being produced by those devices and used by businesses, is growing far too quickly. • Gartner predicted that by 2025, 75% of enterprise-generated data will be created outside of centralized data centers. • Prospect of moving so much data in situations that can often be time- or disruption-sensitive puts incredible strain on the global internet, which itself is often subject to congestion and disruption. 06-05-2024 kvs 5
- 6. How does edge computing work? • shifted focus from the central data center to the logical edge of the infrastructure --. • The principle is straightforward: If you can't get the data closer to the data center, get the data center closer to the data. - such as remote and branch offices. • EC puts storage and servers where the data is, often requiring little more than a partial rack of gear to operate on the remote LAN to collect and process the data locally. In many cases, the computing gear is deployed in shielded or hardened enclosures to protect the gear from extremes of temperature, moisture and other environmental conditions. • normalizing and analyzing the data stream to look for business intelligence, and only the results of the analysis are sent back to the principal data center. • The idea of business intelligence can vary dramatically. video surveillance of the showroom floor might be combined with actual sales data to determine the most desirable product configuration or consumer demand. • Other examples involve predictive analytics ,water treatment or electricity generation, to ensure that equipment is functioning properly and to maintain the quality of output. 06-05-2024 kvs 6
- 7. Edge computing Vs cloud computing Vs Fog • EC- process time-sensitive data, while cloud computing - to process data that is not time-driven. • Besides latency, edge computing is preferred over cloud computing in remote locations, where there is limited or no connectivity to a centralized location. • EC is closely associated with the concepts of cloud computing and fog computing. • All three concepts relate to distributed computing and focus on the physical deployment of compute and storage resources in relation to the data that is being produced. 06-05-2024 kvs 7
- 8. 06-05-2024 kvs 8 Edge. EC is the deployment of computing and storage resources at the location where data is produced. This ideally puts compute and storage at the same point as the data source at the network edge Cloud. Cloud computing is a huge, highly scalable deployment of compute and storage resources at one of several distributed global locations (regions). Cloud providers also incorporate an assortment of pre-packaged services for IoT operations, making the cloud a preferred centralized platform for IoT deployments. Fog computing typically takes a step back and puts compute and storage resources "within" the data, but not necessarily "at" the data. fog computing and edge computing share an almost identical definition and architecture, and the terms are sometimes used interchangeably even among technology experts. Edge computing Vs cloud computing Vs Fog
- 9. Edge computing Vs cloud computing Vs Fog • Edge integrates centralized and distributed architectures. • Cloud and the edge work hand in hand to enable new experiences. • Edge computing uses locally generated data to enable real-time responsiveness to create new experiences. • Edge reduces latency, meaning it lowers response time by doing the work close to the source instead of sending it to the more distant cloud and then waiting for a response. 06-05-2024 kvs 9
- 10. Possible components of edge include: • Edge devices: edge computing every day—like smart speakers, watches and phones – devices which are locally collecting and processing data while touching the physical world. • Internet of Things (IoT) devices, point of sales (POS) systems, robots, vehicles and sensors can all be edge devices—if they compute locally and talk to the cloud. 06-05-2024 kvs 10
- 11. Network edge: • Edge computing doesn’t require a separate “edge network” to exist. • When a separate network is involved, this is just another location in the continuum between users and the cloud and this is where 5G can come into play. • 5G brings extremely powerful wireless connectivity to edge computing with low latency and high cellular speed, which brings exciting opportunities. • The network edge can be particularly useful in cases where it is too costly and complicated to put compute on premises and yet high responsiveness is required. 06-05-2024 kvs 11
- 12. Why is edge computing important? • Much of today’s computing already happens at the edge in places like hospitals, factories and retail locations, processing the most sensitive data and powering critical systems that must function reliably and safely. • These places require solutions with low latency that do not need a network connection. • potential it has for transforming business across every industry and function, from customer engagement and marketing to production and back-office operations. • In all cases, edge helps make business functions proactive and 06-05-2024 kvs 12
- 13. Maturing technologies • 5G make edge more efficient, reliable and easier to manage. • implementations seamless by guaranteeing the transmission of critical control messages that enable devices to make autonomous decisions. • This last-mile technology connects the edge to the internet backhaul and ensures that edge devices have the right software-defined network configurations to do the right things. • IoT and connected devices are unique data sources that need to be secured and registered in the cloud. Edge will reside near or on these data sources. • Containers provide a standardized deployment environment for developers to build and package applications. 06-05-2024 kvs 13
- 14. Maturing technologies • Service and data mesh provide a way to deploy and query data and services distributed across containers and datastores across the edge. • Software-defined networking allows users to configure the overlay networks. • Digital twin is a critical enabler that organizes physical-to-digital and cloud-to-edge. The twin allows data and applications to be configured using domain terms around assets and production lines rather than database tables and message streams. 06-05-2024 kvs 14
- 15. Maturing technologies • Other technologies like AI and blockchain also make edge more powerful. • Edge also makes blockchain better as more reliable data leads to greater trust and less chance of human error. • Data can be captured and relayed directly by machines in real-time, and the increased use of sensors and cameras on the edge means more and richer data will become available to analyze and act on. • leading a revolution in automation, moving from systematic processes in closed, controlled environments. 06-05-2024 kvs 15
- 16. Edge computing benefits and applications • Combined with cloud, edge will enable businesses to reimagine experiences. The potential applications of edge have expanded far beyond just manufacturing and IoT. Edge can be incorporated to drive rapid decision-making and improve user experiences by increasing relevance at each touchpoint. • Some benefits of edge computing include: • Rapid response • High data volume • Privacy 06-05-2024 kvs 16
- 17. Cont.. • Remote areas: • Cost sensitivity • Autonomous operations • The prime advantage of edge computing is clear: User experience improves because relevance increases with edge. 06-05-2024 kvs 17
- 18. Other characteristics of edge use cases include: • Intelligent machines and real-time productivity • Optimized close to consumption: • Experience with extended reality • Privacy and security by default • Always-on and untethered: 06-05-2024 kvs 18
- 19. Consider the rise of self-driving cars. • Bandwidth. • Latency. • Congestion. 06-05-2024 kvs 19
- 20. Edge computing challenges and opportunities • The most common challenges we see are: • Lack of standard and integrated architectures: . • Fast-moving ecosystem with multiple tech options: • Unrealized business value at the edge: • Innovation fatigue and pilot purgatory 06-05-2024 kvs 20
- 21. 06-05-2024 kvs 21 THANK YOU