Even if there are all kinds of coffee or energy drinks in the world, humans still need to sleep. To stay in top shape during the day, doctors recommend seven to eight hours of sleep a night. But the machine is not subject to the same restrictions. The machine does not require a break and does not require a holiday. They can run 24 hours a day, 7 days a week. This means that they perceive, analyze and transmit data all the time.
According to IDC, by 2020, there will be 8.6 billion connected devices in the Asia Pacific region. In order for these devices to function properly, billions of machines worldwide need to operate 24 hours a day, 7 days a week.
Obviously, the number of these devices exceeds the world population. When all these devices and computers start talking to each other, it can put a lot of pressure on any network. Beginning in 2018, as the IoT market in the Asia-Pacific region continues to grow, this pressure will also increase. According to IDC's forecast, by 2020, the market will reach $ 583 billion. For the Chinese Internet of Things market, Prime Minister Li Keqiang’s “Internet Plus†action plan proposed in his 2015 government work report also pointed out that technology such as the Internet of Things should be used to promote the integration of modern manufacturing and infrastructure.
Looking ahead to 2018, we will see the data center being affected by machine-to-machine communication in four ways:
• lay the foundation for 5G
Yes, 5G will also happen in 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 5G is expected to be available in the next 5 to 10 years. Before the official arrival of 5G, there is still a lot of preparation work to be completed. Wireless networks require a large amount of "wired" assets to efficiently transport fiber backhaul to the core and edge of the network. Densification of cellular base stations (e.g., small base stations) also requires 5G. In addition, a variety of new power supply solutions will emerge on the market, enabling operators to power a variety of devices at the edge of the network in a more cost-effective manner.
• Low latency
The machine is able to process the received information in real time, while manpower is difficult to do. Especially in the data center, decisions are made in an instant, which requires a strong network backbone to provide support. Unlike the past, data centers only played the role of data storage, and today data centers need to calculate, analyze, and process information in real time. IDC listed the “modernization†of the data center as one of its key predictions for 2018, “predictive analysis will be used extensively to improve accuracy and reduce downtimeâ€. Countries such as Hong Kong and Japan are increasingly eager to create modern data centers due to scarcity of land, and edge computing will play an important role.
• Higher density and speed
Deploying more fiber is certainly the best solution, but the reality is not always allowed. The most effective solution is to deploy high-density fiber from the beginning, enabling machine-to-machine communication to be implemented quickly. Therefore, a modular high-speed platform that supports multiple generations of equipment is the best choice.
• Intelligent, automated management
People are increasingly unable to handle complex data, and the probability of human error is far greater than that of the machine, so what the machine does needs to be managed by the machine, and all management and maintenance processes require machines to participate in order to improve reliability and availability. For example, network management needs to be automated, data center management needs to be automated, and wiring system management needs to be automated.
Machine learning case that has been cited many times
A pilot project in Pittsburgh made autonomous cars a reality. With a strong network and near-perfect sensors, the project has progressed smoothly. Cars can process 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 technology open plan. According to Lu Qi, president and chief operating officer of Baidu Group, artificial intelligence technology has great potential in promoting social development, and smart car is one of the biggest industrial opportunities.
Compared with humans, cars can always stay awake, don't send text messages while driving, don't feel sleepy while driving, and react faster. As long as the car can make the right decisions at the right time, they can sail into the future.
But for a century, humans have been driving. We make mistakes, should we use a computer to replace the human driver who is now holding the steering wheel? Computers or machines are not sympathetic and empathetic, and there is no emotion. From this perspective, is there any lack of humanity?
It depends on how you look at it. After all, the pros and cons of the machine depend on the algorithm and programming. They are easily manipulated by humans or other machines (hacking). In fact, according to Gartner's prediction, by 2022, the majority of the population of mature economies will consume more false information than real information. It can even be said that false information will “encourage large financial fraudâ€. As the number of devices exceeds the global population, we can say that we are more vulnerable to hackers and data theft.
With the rise of digital payments in the Asia Pacific region, we are increasingly concerned about digital security. With WeChat, China is at the forefront of digital payment, and we are seeing countries such as India and Singapore steadily advancing the development of digital payment technology. Therefore, security will become more important, including data privacy issues. As more and more countries have enacted laws and regulations related to data sovereignty, we are expected to see more data center operators, especially hosting providers, investing in data sovereignty and commit to fully address security issues.
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