Trend 3: Multi-access edge Computing (MEC) will emerge at the network edge

To support data-intensive and ultra-low latency applications such as HD streaming, autonomous vehicles, automated mining, and Industry 4.0, we must place compute and storage resources at the edge of the DS215DMCBG1AZZ03A network to ensure that these resources are closer to the data source or data consumer, thereby eliminating latency from centralized core cloud data centers or regional edge data centers to edge devices. In addition, there is also a need for faster network communication between data centers at the network edge and edge devices, such as 5G and Wi-Fi 6. In the past, the telecom industry and the IT industry have been evolving along their respective technological routes, such as the traditional telecom network cloud, distributed cloud computing data centers as an extension of the IT cloud. Today, we are seeing the capabilities of distributed cloud and traditional telecom data centers converge at the network edge into multi-access edge computing (MEC) data centers. In the future, telecom base stations can also provide software-defined services (such as network function virtualization); The distributed cloud will also have telecom control functions. Schneider Electric believes that MEC will enable digital transformation (such as smart cities, smart manufacturing), but its large-scale deployment also presents unique challenges for power distribution, cooling, energy efficiency, management, and maintenance. In addition to meeting the goals of resilience and performance, operators must also embrace sustainability DS215DMCBG1AZZ03A as a core value in order to minimize energy use, carbon emissions and waste generation.

Trend 4: The measurement of power utilization and quality in data centers will be more comprehensive and accurate

With the effective and implementation of the mandatory energy efficiency standard GB40879-2021 “Data Center energy efficiency Limit Value and energy efficiency grade”, this national unified data center energy efficiency evaluation standard, technical guidelines and analysis methods will play a positive guiding role in the construction, operation and maintenance of data centers. In the future, for new and expanded data centers, power utilization efficiency (PUE) needs to meet the requirements of the three levels of energy efficiency indicators stipulated in the code, and real-time online monitoring. The monitoring should use measuring instruments that meet the accuracy requirements (such as: Level 1 electric energy meter, level 0.5 current transformer, level 0.5 power meter, etc.) to measure the power consumption of the information equipment, cooling system, power DS215DMCBG1AZZ03A supply and distribution system and other auxiliary facilities of the data center during the measurement period. In addition, the impact of more renewable energy adoption on power quality can also lead to frequent failures in data center power systems. For managed service providers, how to define responsibility and fault root analysis becomes particularly critical, then it is necessary to use high-precision instruments for real-time online monitoring and analysis of power quality. Schneider Electric believes that high-precision instrumentation and power quality management digital tools will be favored by data center operators, on the one hand to meet the DS215DMCBG1AZZ03A regulatory requirements for PUE; On the other hand, power quality can be monitored and analyzed to achieve predictive maintenance, and it is also an effective tool for responsibility definition and fault source insight.