The data these scenarios produce, which needs processing at the edge, is also diverse.Distributed computing has been so ascendant that venture capitalists began to shift their priorities accordingly, with some issuing drastic forecasts. With time, the edges will become cloudified: customization will happen, but likely only as a software layer. Even he, in the very same presentation, admits that "important information will still get stored in a centralized cloud" and depicts the cloud as becoming a learning center of sorts to enable machine learning en China Embroidery machine parts Manufacturers masse, which requires a great deal of data and aggregating insights at the edge. In an October 2018 report, McKinsey & Company identified 107 distinct edge use cases, estimating the potential value of edge computing at USD 175B–USD 215B by 2025—and that’s just the value for hardware companies.The edge is near.Some rather understandable misunderstandings can, shall we say, cloud the edge. That’s why the edge infrastructure depends on the application.Purpose-built edges are definitely a thing in the near term.After all, that’s how we refer to it—in the singular person—no?REALITY: There are many edges. Teh, Senior vice president of global sales and sales operations, Seagate TechnologyDisclaimer: The views and opinions expressed in this article are solely those of the original author. We don’t have milliseconds of latency to spare to send those insights back to the cloud for processing. Gartner’s Bittman, too, conceded that "cloud will have its role.MYTH 1: The edge will eat the cloud. Some have even tried to quantify their possible maximum number for fun.The hyperscale data center model continues to work well for applications that benefit from centralization: large-scale archiving, content distribution, application storage, and fast prototyping, among others. "The edge will eat the cloud" was the titular prognosis of the article in which he described the shift toward "location and distributed processing for low-latency and real-time processing. While the cloud has "democratized the Internet," enabling video streaming and gaming, according to Telefonica’s VP Patrick Lopez, "we think that edge is the next generation of that. According to Data at the Edge, a 2019 report published by Seagate with Vapor IO, companies like Vapor IO, Edgeconnex, and DartPoints are turning to micro-modular data centers, also called edge data centers. Archival data or data needed to churn out machine learning processes (data lakes, big clusters of data that teach ML algorithms) in the hyperscale data center, per Lavin—will be of no use at the edge.It is also true that a specific kind of cloud deconsolidation is taking place concomitantly." That same year, Thomas J."So no, the edge will not overtake the cloud.This means it’s determined by use cases that produce and process data close to end users. Unlike the cloud, the edge is identified by a location and how near it is to data.MYTH 3: Shrink the cloud, put it in a box, and voila—you have the edge!We’ve already established that some storage and processing will need to take place at the edge."REALITY: Edge and cloud will boost each other. Still, to those who don’t specialize in tech, the learning curve can be understandably steep.Far from a passive, near-perfunctory periphery of the network, the edge is a bustling locale for data analysis, management, and even storage. One such notable prediction occurred in a 2017 talk titled "Return to the Edge and the End of Cloud Computing," given by enterprise investor Peter Levine about two years ago.Yes and no. The migration of what inventor David McCrory called center of data’s gravity to the edge is transforming industries and opening up new market opportunities. He declared that because of the machine-learning and IoT-driven shift of computing from cloud to the edge, he could see the cloud dissipating in "the not-too-distant future.Finally, the edge is not a mini cloud because it’s a remote lights-out automated operation marked by a physical proximity to the user.As noted here already, the edge will have no room and no time for certain types of data.Levin is right to point out that the processing of this life-critical data—often via machine learning—will need to happen at the end points.. Contrary to the centralized, homogenous, general-purpose data center hub, each edge focuses on solving a specific problem.""Edge computing is basically bringing the best of the cloud and the best of telecommunications together," Lopez said.Meaning, there are a growing number of networks and therefore a growing number of outer network boundaries containing endpoints that run applications of interest to users
Post je objavljen 08.07.2021. u 07:51 sati.