The technology industry expects that edge computing and complementary 5G networks will experience substantial growth even as the global pandemic rages. By removing the need to handle computing resources like servers, cloud computing benefits the user. However, it isn’t easy to provide reliable low-latency, broadband services with multiple networks operating between the user and the cloud. In response to this issue, by deploying computing resources, the focus is concentrated on edge computing. The servers need installation at locations near users as a means of providing services. Edge computing will monitor devices that require a rapid response and processing of a vast amount of diverse data. The latest edge computing trends of 2020 will play a massive role in technological aspects.
Here’s a list of Edge Computing Trends of 2020
Heightened Adoption of Edge
IoT devices are continually growing and becoming very efficient, capturing, storing, and processing more information than ever before. This has paved ways for businesses to optimize their networks and relocate more computing functions closer to data origin. Edge computing is also accelerating in terms of adoption with the advent of 5G technology. It is enabling enterprises to use apps and process data at a rapid rate.
Artificial Intelligence and Machine Learning will Go Mainstream
The promise of AI and machine learning has already been proven across industry verticals. Now, developers are exploring ways to integrate AI with IoT to benefit businesses from the connected device data generated. This intends to increase efficiencies and minimize operational costs by looking at several real-time data points to generate actionable insights. However, applications involving AI for high-performance computing (HPC) can require far higher power densities. To serve AI and ML workloads, edge data centers can become powerful as they can allow considerable computing levels power on smaller physical footprints. It is one of the rising edge computing trends of 2020.
One of the hottest buzz words in business technology has been a digital transformation over the past decade. In general, the term means different things to different organizations. It includes shifting the structures, activities, and culture of an organization to concentrate on digital ways of doing business. Digital transformation has meant embracing the Industrial Internet of Things (IIoT), smart factories, e-commerce, and mobility for many organizations. All these things have strengthened their dependency on edge computing.
Technology for High-Presence VR Services with Edge Computing Resources
The process sequence needs completion within milliseconds, from the user terminal service to the display of 3D video. It is required o avoid VR sickness in VR applications that produce 3D video in real-time. Edge computing can even remotely provide low-latency high-quality VR.
Smart Surveillance and Stream Processing
New possibilities are generated to process diverse video streams from IoT devices, monitoring cameras, and system cameras for real-time actionable insights. Industries don’t need to stream their videos on cloud servers with edge computing. But process them directly on the local edge server running the entire stack of applications.
Changing Digital Ads from Home Ads Forever
No one likes to see advertisements endlessly, but isn’t it a little more enticing when the advertising is for good? Based on real-time targeting data, edge computing will allow a programmatic Digital out of Home (DOOH) marketplace. In this, the advertising ecosystem connects to serve advertisements. AI further segments the audience’s demographics and sentiment in front of the camera, allowing advertisers to become smart. Change of ads is one of the most used edge computing trends of 2020.
Next-Generation Video Enablement
Smartphone proliferation has produced an expectation among customers that they should stream their content anywhere at any time. It is irrespective of the infrastructure of the local network. It is more than just immersive distribution to put content on edge. The edge encourages content creation from the micro-backend to content providers and aggregators. Without having to think about whether the network can support it.
The move to edge computing would involve streamlined end-to-end client procedures from development to implementation at the edge. It is called edge ops. This will allow developers of all stripes to efficiently use the edge’s power by improving their current applications. This also creates a whole new class of native edge applications.
Edge computing can allow retailers to attach ultra-fast, securely, low latency downloads to their sales team, POS devices, displays, and other IoT devices. It also reduces network costs. Smart retail services are the most known edge computing trends of 2020.
In different industries, digital twin computing takes digital twins of things and humans and conducts computations in any desired combination. It needs wide bandwidth with thousands of sensors that relay data to update the digital twin. The digital twin can transmit a smaller subset of data, and edge computing will do some of the on-site processing required.