Yesterday, the Third China Data Center Industry Development Conference and IDC Product Display and Resource Conference was held in Beijing. High-level representatives from relevant industries in the data center were invited to attend the conference.
With the theme of "A New Age for Innovative Services in Data Center", this conference focused on the core issues such as green energy saving, efficient management and innovative services that China's data center industry faces and discussed and exchanged market trends in the global data centers and related industries . At the meeting, Wang Qiying, vice chairman of China Power Industry Association, shared several major characteristics of cloud computing and big data power supply system. The following is a detailed understanding of Xiaobian together.
Power supply system is to be an organic part of the entire information center. Power distribution must also have the characteristics of redundant fault-tolerant.
System reliability matriculation more demanding, should be used G4 power supply. Cloud computing and big data power supply system is characterized by the availability of the system more demanding. So the requirement must be G4 standard.
After the system must be strictly accepted. We encountered a lot of cases, the merchants give you something installed, do you think it is not the case, many of his indicators are not reached. There are also some users in the acceptance of fire, lightning and other phenomena.
The layout of the cabinet must be separate hot and cold channels or even closed. We waste electricity if we do not separate. Under the premise of meeting system requirements, the simpler and better the system. The reliability of the system is not piled up by the money, the system inside the messy things as little as possible.
System larger, larger power supply, energy saving is more hard targets. Now have the requirements of PUE, must use high-quality UPS can not. Because it is used for UPS, it has energy consumption when it is input, output or other under the same indicator. Both of them add up to 5%.
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