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Sci-Tech

Operators compete for the "dual carbon" computing network. How to balance the capacity of the data center by "counting from the east to the west"?

2022-11-02   

The distance from China Telecom Guizhou Data Center to Beijing CBD is about 2200 kilometers, and it also takes about 10 hours for the bullet train to complete the whole journey. Thanks to the "highway network" of computing power, computing power transmission takes less than 10 milliseconds. 31 billion floating point operations per second, which means that massive computing power is being scheduled every second. The full integration of computing power and network is extending from the invisible to the visible distance at an unimaginable speed, serving all aspects of our life. With the strategy of "counting from east to west" advancing in depth, the concept of computing power network has gradually entered people's vision. In order to make computing power a social service of "one point access, out of the box", it is also necessary to build an integrated computing network that complements the east and the west (cross regional physical integration between the east and the west) and connects the north and the south (multi-level logical integration of cloud, edge, and end). The basic operators with congenital advantages in communication networks are accelerating their layout in the construction of computing power networks. In the first three quarters of this year, the growth of emerging business income of operators was remarkable, and the year-on-year growth of cloud computing business income was more than 100%. By promoting energy conservation and emission reduction of infrastructure such as data centers, the practice of operators will also have a long-term impact on the realization of China's "dual carbon" goal. Operators increased investment in computing power network. "In computing power network, China Mobile's capital expenditure is expected to reach 48 billion yuan in 2022, an increase of 26%." In August this year, China Mobile wrote in its semi annual report for 2022. The computing network mentioned here includes direct investment in mobile cloud, IT cloud, data center, and shared investment in transmission network. Among them, in the first half of 2022, the network investment scale will be 20 billion yuan. "Computing network convergence requires high-performance computing power available everywhere as support, networks with high bandwidth and low latency as bridges, and more flexible and sensitive management brains for scheduling." Xi Qiang, Deputy General Manager of the Network Department of China Unicom Tianjin Branch, said that when computing power and network are integrated, many unexpected "chemical reactions" will occur. He said that, according to the business characteristics, China Unicom will dispatch applications that are sensitive to delay and have a large number of visits to the computing node nearest to users, and dispatch applications that do not directly face users such as non real-time data and backup data to the western node, so as to achieve intelligent computing scheduling between the east and the west. Computing power is the ability to process data. From the abacus to the computer, to the personal computer, mobile phone, tablet computer in the information and communication era, these tools that are common in life are all single point computing devices. The computing power of such computing devices mainly depends on the computing power of chips in the devices. The birth of "cloud computing" technology has brought the development of "computing power" to a new stage. It integrates, centralizes and utilizes scattered computing resources, thus breaking through the limitation of computing power of single point devices, so that it can quickly process massive data in a very short time. "To truly achieve the goal of 'counting from east to west', we need a very big technological breakthrough." Wang Jian, an academician of the CAE Member and founder of Alibaba Cloud, said in an interview with Shell Finance reporter of Beijing News that cloud computing technology I

Edit:Li Jialang Responsible editor:Mu Mu

Source:xinhuanet

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