The maturity of the financial--5G technology will promote the development of the Internet of Things edge computing

  After years of discussion and publicity, 5G has gradually become a reality. In February of this year, the European Horizon 2020 project launched a test platform for future media services in Bristol, England and Barcelona, ??Spain. In April, BT operators spent nearly £1.4 billion on the latest 5G spectrum. US telecommunications operator AT&T has also announced that it will launch 5G networks later this year. According to Viavi's research report, 72 operators worldwide are currently testing 5G technology.

  According to a recent CCS Insight report, the US and Asia will dominate the early deployment of 5G technology due to adequate testing. Of course, this does not prevent the world from claiming to be the first 5G city (Bristol University presented the world's first end-to-end 5G network at MWC in March), but this means that technology should mature quickly.

  At the Winter Olympics in pyeongchang, South Korea, we conducted the first commercial test of the 5G network. There, Intel, Samsung and KT offer a high-resolution streaming and VR experience through a 5G-connected camera. Through testing, we know that they can work in the real world, at least within a small control range, but what we really need to understand is how they will affect computing in a broader context.

  New technologies are undergoing convergence. As 5G matures, the demand for connected devices and sensors is increasing, and it is also putting pressure on managing the growing network of these data. This is where the edge computing focuses, they can bring processing and analysis capabilities closer to the data source. With Intel’s announcement in February of a chip designed for edge computing, the evolution of edge computing has been further enhanced. This means that in order to cope with the increasing complexity and real-time monitoring needs of networks and data centers, organizations will have to seek more automation.

  Shawn Rogers, Tibco's senior director of analytics strategy, said: "Smart companies are pushing the computing and analytics capabilities of the IT environment to the brink. In the process, they have found that this initiative not only meets the growing demand for real-time analytics. It also increases the responsiveness of the company's business units. By analyzing the data directly instead of transmitting the data to the data center for analysis, traditional methods can save time, reduce complexity, and automate the action and insight of the company. Aggregate valuable data to increase your return on investment."

  Rogers emphasizes that for any company that wants to remain competitive, maintaining a highly focused strategy is outdated and may reduce the company's ability to digitally transform. Carl Grivner, CEO of Colt, believes that as the number of devices continues to increase, the computing needs in the core of the Internet of Things will shift to the edge.

  Grivner said: "Keeping low latency is the main reason why the company is turning the massive data of IoT devices to cloud processing and data analysis at the edge. Keeping the interconnects on the edge can also save network costs because the company will be closer to the source. Filter out a lot of useless IoT data to get the valuable insights you need for IoT innovations like IoT smart hospitals."

  It is this capability that accelerates the development of the IoT ecosystem. As Moor Insights & Strategy senior analyst Chris Wilder pointed out in a recent article, many large ecosystems have evolved from major brands such as Amazon Web Services, Cisco, Dell and IBM. It is becoming increasingly clear that 5G and edge computing are critical to the further development of these ecosystems, but we still have a long way to go to meet the challenges.


  5G and edge computing are still in the early stages. While 5G and the Internet of Things are rapidly expanding beyond the data center, how the enterprise manages this process is still being explored. While automation is an obvious answer, implementing automation presents challenges in terms of cost and capability. Interoperability between ecosystems is required to ensure that companies do not enter any dead end caused by patents, but ensuring a smooth transition to centralized network management requires some planning.

  Tibco's Rogers said: "Enterprise management of multiple types of computing engines (flows, algorithms, and edges) is a common problem, but applying them to the right place in the process is an innovation, while analyzing, artificial intelligence, and machines. Learning to spread to the edge will also become a new normal. But how to control, optimize and utilize these environments will become a new obstacle.” Rogers added that centralized management methods are easier to maintain control, which is crucial. But in this way security and overall agility are challenged. He pointed out: "If there is no proper plan and solution, then migration to the edge may become an inhibitor of innovation rather than a catalyst." This can be said to be a warning.

  John English, senior manager of NETSCOUT Service provider Solutions, believes that organizations need to choose the right carrier service providers (CSps) that have the flexibility to launch and manage these new networks and services.

  "CSp partners need to be visible and able to clearly understand what happens to 5G gateways geographically far from the data center, which requires service and security assurance throughout the network. Let these new cloud-based edge nodes and services be delivered," said English. The visibility and intelligence of the infrastructure is critical to successful launch and ongoing service delivery."

  The current problem is that we are not sure what new models will emerge once the IoT network is up and running, which makes it increasingly difficult to identify anomalies or vulnerabilities.

  English also pointed out: "In order to make virtual resources visible, network edge computing requires more powerful services and security guarantees. This will not only promote proactive and passive monitoring and troubleshooting, but will also promote predictive and normative paradigms. Development, while automating and orchestrating real-time intelligent data feeds can make self-optimizing networks a reality."

  He added that analysis of monitoring data can achieve end-to-end visibility in the IoT service layer and the entire service delivery network. By reducing risk, improving business agility, and optimizing operations, organizations can overcome the challenges of edge computing.

  5G promises to deliver ultra-low latency and higher bandwidth, which enables them to grow and manage a variety of IoT devices and services, including connected/autopilot vehicles, smart cities, emergency/safety applications and power sensors Sex.

  Colt's Grivner pointed out: "Because data center operators want to benefit further from economies of scale, and many older data centers are at full capacity, we see a huge demand for higher power, cooling and connectivity. Scaled data centers are being deployed. When data is generated, they are usually passed back to aggregation points (such as data centers) where they are stored, processed, and accessed. The cost of transferring data over long distances is high, and in some In this case, the ability to process data in near real time is valuable. It is meaningless to move data to some distant aggregation points, and edge storage and computing requirements are likely to cause data centers to be deployed to edge locations."

  As the Internet of Things continues to infiltrate into every aspect of our daily lives, including critical applications such as healthcare and autonomous vehicles, the issues mentioned above will become increasingly important. 5G will undoubtedly play a catalytic role, but this only solves part of the problem. NETSCOUT's English image points out that this is like different races for different tracks.

  “IoT devices may be divided into different types of services, such as critical and non-critical services. Carrier service providers need to provide service level agreements for these critical services to ensure network and end-user satisfaction. It is important to ensure safety."

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