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Work item:
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Y.Req-DAP-CNG
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Subject/title:
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Requirements for data awareness and processing of computing, network and grid power for scheduling
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Status:
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Under study
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2027-11 (Medium priority)
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Liaison:
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ITU-T SG2, SG5, SG11, SG13, SG20
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Supporting members:
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China Telecom, State Grid Corporation of China, China Information Communication Technologies Group (CICT), China Academy of Information and Communications Technology (CAICT), China Unicom
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Summary:
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Currently, the world is accelerating the coordinated development of computing power infrastructure and grid power infrastructure. This is gradually forming a new cross-regional synergy where computing demand drives grid supply, and green energy supply supports computing development. However, computing and grid power systems have long developed independently, resulting in numerous heterogeneous data silos between computing, network and grid power.
Computing power resource data is used to match the optimal computing resource node based on task computing demands. Network resource data provide strong support for network analysis, network planning and network optimization. Grid power data support the scheduling with the goal of low cost and energy conservation.
For scheduling, computing power resource data, network resource data, and grid power data need to be considered collaboratively and balanced comprehensively, in order to achieve resource allocation with efficient, low-cost. Due to inconsistencies in data standards, semantic discrepancies, and significant differences in spatiotemporal scales, which hinder the further improvement of resource allocation efficiency and the absorption of green electricity.
It is urgent to propose a awareness and processing standard for heterogeneous data between computing, network and grid power for breaking down information barriers.
This Recommendation aims to provide the requirements for data awareness and processing of computing, network and grid power for scheduling, promote intelligent scheduling and green development in computing and grid power systems, enhance the efficiency of global computing resource allocation, improve the utilization of clean energy. This Recommendation is applicable to customer groups such as power grid exclusive IDC, large enterprises renting data centers, new energy generation enterprises, and third-party IDC parks.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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First registration in the WP:
2026-03-06 14:49:54
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Last update:
2026-03-06 15:03:49
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