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An Efficient Data collection method for Digital Twin Network

Document Type Replaced Internet-Draft (individual)
Expired & archived
Authors Yanhong Zhu , Danyang Chen , Cheng Zhou , Pedro Martinez-Julia
Last updated 2022-04-28 (Latest revision 2021-10-25)
Replaced by draft-zcz-nmrg-digitaltwin-data-collection
RFC stream (None)
Intended RFC status (None)
Stream Stream state (No stream defined)
Consensus boilerplate Unknown
RFC Editor Note (None)
IESG IESG state Replaced by draft-zcz-nmrg-digitaltwin-data-collection
Telechat date (None)
Responsible AD (None)
Send notices to (None)

This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:


Digital Twin Network is a network system with Physical Network and Twin Network, which can be mapped interactively in real time. The construction of Digital Twin Network requires real-time data of Physical Network to update the state of Twin Network. However the existing method collects the full amount of data from the Physical Network for modeling, and does not consider the problems such as time-lag, insufficient storage resources, low computational efficiency and waste of bandwidth resources. This document introduces an efficient data collection, aggregation and correlation method in which the Twin Network sends instructions to the Physical Network to collect data on demand, and then the Physical Network completes instructions such as knowledge representation, Telemetry Streaming Element of Physical Network completes data aggregation and correlation. Finally Telemetry Streaming Element sends the processed data to the Twin Network.


Yanhong Zhu
Danyang Chen
Cheng Zhou
Pedro Martinez-Julia

(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)