Active PAR

P2805.1

Self-Management Protocols for Edge Computing Node

This standard specifies the self-management protocols for edge computing node. These requirements include management protocols of Self-organization, self-configuration, self-recovery and self-discovery between multiple edge computing nodes. The autonomic management features for edge computing node shall cover discovery, node identification, negotiation, transport, messaging and security mechanisms.

Standard Committee
IES/IES - Industrial Electronics Society Standards Committee
Status
Active PAR
PAR Approval
2019-02-08

Working Group Details

Society
Standard Committee
IES/IES - Industrial Electronics Society Standards Committee
Working Group
ECN - Edge Computing Node
Learn More About ECN - Edge Computing Node
IEEE Program Manager
Vanessa Lalitte
Contact Vanessa Lalitte
Working Group Chair
Wenbin Dai

Other Activities From This Working Group

Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.


P2805.2
Data acquisition, Filtering and buffering Protocols for Edge Computing Node

This standard specifies the protocols used by the edge computing node of buffering, filtering and pre-processing data collected from controllers including programmable logic controllers, computer numerical controllers (CNC) and industrial robots. The data acquisition from field devices with different interfaces must be automatically stored, filtered and calculated according to reconfigurable rules (including buffering data from selected time frame, convert data format and filter invalid data) from industrial clouds and other edge computing nodes.

Learn More About P2805.2

P2805.3
Cloud-Edge Collaboration Protocols for Machine Learning

This standard specifies the collaboration protocols of enabling machine learning on the edge computing node with support from industrial clouds. This standard provides implementation reference of machine learning upon lower powered, cheaper, embedded devices, a specific hardware-based method of accepting the introduced machine learning models and then online optimization, i.e. comparing the models with incoming live data.

Learn More About P2805.3

Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle.


No Active Standards

These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata.


No Superseded Standards

These standards have been removed from active status through a ballot where the standard is made inactive as a consensus decision of a balloting group.


No Inactive-Withdrawn Standards

These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years.


No Inactive-Reserved Standards
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