Olivier Garret, the founding partner and CEO of RiskHedge, wrote very well in this week’s Forbes article. He pointed out that edge computing is “the golden thread connecting today’s most exciting megatrends” and “self-driving cars, IoT, Without AR and other technologies, the commercialization of 5G would never be realized.
I totally agree with Garret. 5G has made ubiquitous connectivity a reality. As he mentioned, the explosive growth of IoT devices, as well as the promotion of AI machine learning, real-time analysis, stream processing and other disruptive technologies, is the generation of massive amounts of data and value mining. Strong demand. The most affected industry is the telco industry, the companies responsible for the commercialization of 5G.
What is really interesting is that in the 5G ecosystem, the profit opportunities for companies go beyond the traditional consumer market. Market growth will be driven by enterprise application requirements, enhancing customer experience and process optimization. Looking ahead, the latest market research report estimates that by 2020, the value of the entire 5G enterprise market is 2.3 billion US dollars, and it is expected to reach 31.7 billion US dollars by 2026, with a compound annual growth rate of 54.4%.
5G is not just the interconnection of everything, what it really releases is the ability of enterprises to make real-time decisions on the massive data streams in billions of devices. The so-called real-time refers to making a decision within 10 milliseconds of an event. In many cases, this is the only way for companies to make profits. For example, applying machine learning model decisions to billing to provide highly personalized "present" offers.
Edge computing decision-making is described in the Forbes article as the focus of "edge computing." Garret put forward three important advantages of edge computing: It can save the company money and is more reliable, but he believes that the most important advantage is "can speed up decision-making by reducing delay."
The ability to make decisions under 10 milliseconds requires pushing computing and storage to the edge of the network. With latency as the key factor, real-time decision-making must be as close to the event source as possible. If you return to the data center or run batch processing on the back-end database, the latency problem will be a disaster.
Gartner estimates that 75% of data will be generated and processed at the edge by 2025, compared to only 10% in 2018. This is why we specially built VoltDB to provide 5G real-time functions at the edge. We know that 5G real-time decision-making requires not only simple data collection and movement:
-It requires the integration of database and stream processing at the edge to solve the entire event data management cycle of data acquisition, storage, aggregation, measurement, detection, and decision-making.
-It needs to apply complex rules, algorithms and machine learning models to a large number of event data streams, analyze and detect anomalies, and then make decisions and take actions
-Complete all these tasks in real time, continuously and accurately within 10 milliseconds
This is exactly what VoltDB supports.
When we read such articles on Forbes, we were proud of our ideas and work. A large number of telecom leaders chose VoltDB to provide powerful applications and service support for edge 5G.
If you are interested in VoltDB's industrial IoT big data low-latency solution, full life cycle real-time data platform management, etc., welcome to private message and enter our official exchange group.