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Work item:
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Q.MFDC
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Subject/title:
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Requirements and reference model for monitoring of federated data cooperation service in multi-access edge computing in Future Network
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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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2026-Q3 (Medium priority)
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Liaison:
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ITU-T SG13, IETF TEEP/RATS
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Supporting members:
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China Unicom; China Telecom; Ministry of Industry and Information Technology (MIIT) China
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Summary:
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The development of 5G has greatly changed the way that data are collected and processed in the vertical industry. On one hand, infusing 5G with massive Machine Type of Communication (mMTC) allows massive connections from UE and terminals to the network, profuse operation data thereby are generated whereby evolve enterprises’ digital capabilities. On the other hand, applications of 5G such as multi-access edge computing provide the infrastructure for data processing near where the data are generated while obtaining low latencies for time-sensitive data cooperation tasks.
Enterprises are committed to achieve data transformation by large-scale data utilization through federated data cooperation service in MEC in Future Network. The federate data cooperation service provides not only the data sharing and collaboration capabilities but also even data and algorithm matching strategies, introducing the capability of which data are utilizable but intangible into Future Network.
Copious factors can impact the overall performance of data utilization during practical data cooperation tasks. Realistically, a federate data cooperation task may require synergy of multiple computing infrastructures. Regarding to the distributed computational architecture and potential issues such as variance in network condition, divergence of infrastructure computation and storage capacities, potential risk of device downtime or malfunction of the federated data cooperation service, the accomplishment of the federated data cooperation task largely hinge on the delayed completion of the slowest computation nodes, and this delay can radically affect the performance of the service. Moreover, simple breakdowns of external factors such as TEE infrastructures engender the aggravation of performance and instability of the federated data cooperation service, or even lead to doldrums of the tasks. Hence, it is necessary to continuously monitor the statues and performances of key factors involved in real-time. The measuring parameters the federated data cooperation service in MEC in Future Network should take into consideration shall include but not limited to:
Monitor the network performance of federated data cooperation service;
Monitor the utilization, availability, and stability of computing resources;
Monitor the remote verification or third-party verification statues of TEEs;
Monitor the degree of participation of computing resources during a federated data cooperation task;
Monitor the running statues of federated data cooperation tasks, i.e., the impact of device downtime or malfunctions when multiple computing infrastructures are assigned to work simultaneously.
This draft Recommendation specifies the requirements and reference models for monitoring of federated data cooperation service in MEC in Future Network.
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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:
2023-10-26 10:33:58
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Last update:
2024-04-24 14:19:12
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