Data center migration a trend to pay attention to

Data center migration,Even if there are all kinds of coffee or energy drinks in the world, people still need to sleep. To keep the best of the day, the doctor recommends a night of seven to eight hours of sleep. But the machine is not subject to the same restrictions. The machine needs no rest and no holiday. They are able to operate around 7 days a week and 24 hours a day. This means that they feel, analyze and transmit data all the time.

According to IDC data, there will be 8 billion 600 million networking equipment in the Asia Pacific region by 2020. In order to make the equipment run properly, billions of machines around the world need 7 days a week and 24 hours a day all day.
Obviously, the number of these devices exceeds the number of people in the world. When all these devices and computers start to talk to each other, there is a lot of pressure on any network. Since 2018, with the growth of the IOT market in the Asia Pacific region, the pressure will increase. According to IDC, the market could reach $583 billion by 2020. For Chinese networking market, proposed by Premier Li Keqiang in his government work report in 2015 of the "Internet plus" action plan also pointed out the need to promote the integration of modern manufacturing industry through networking technology and infrastructure.
Looking forward to 2018, we will see that the data center is affected by machine communication in four aspects:
Laying the foundation for 5G
Yes, 5G will also happen to the data center. All devices that need to communicate with each other and communicate with people will drive higher demand for fiber, especially when we see that 5G is expected to come out in the next 5 to 10 years. Before the formal arrival of 5G, there is a lot of work to be done. * the network requires a large number of "wired" assets to effectively transfer the backhaul of the fiber to the core and edge of the network. The densification of cellular base stations (such as small base stations) also needs 5G.. Besides, there will be many new power supply solutions in the market, enabling operators to supply power to all kinds of devices on the edge of the network in a more economical and efficient way.
Low delay
The machine can do the real-time processing of the received information, and the manpower is hard to do it. In particular, in the data center, decisions are made instantaneously, which requires a strong backbone to provide support. Unlike past data centers that only play the role of data storage, data centers now need to calculate, analyze, and process information in real time. IDC listed the modernization of data center as one of its important predictions in 2018. "Predictive analysis will be widely used to improve accuracy and reduce downtime". Countries and regions like Hongkong and Japan are more urgently needed to build modern data centers due to scarce land, while edge computing will play an important role.
Higher density and speed
Deploying more fiber, of course, is the best solution, but the reality is not always allowed. The most effective scheme is to deploy high-density fiber from the beginning, allowing the machine to communicate quickly to the machine. Therefore, a modular high speed platform that can support multi generation devices is the best choice.
Intelligentized and automated management
People can't handle complex data more and more. The probability of human error is far greater than that of machine. So machine's need for machine management is needed. All management and maintenance links need machine to participate in order to improve reliability and availability. For example, the network management needs automation, the management of the data center needs to be automated, and the management of the wiring system needs to be automated.
Multiple referenced machine learning cases
A pilot project conducted in Pittsburgh for automatic driving a car into reality. With a powerful network and close to the perfect sensor, the project has progressed smoothly. Cars can handle data faster than any human driver, just like a data center on a wheel! In China, we can also see similar projects, such as Baidu's "Apollo" autopilot open program. According to Lu Qi, President and chief operating officer of Baidu group, AI technology has great potential in promoting social development, and smart car is one of the biggest industrial opportunities.