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Status of this Memo
draft-distributed-ml-iot-edge-cmp-foukalas-01

Document Type Expired Internet-Draft (individual)
Expired & archived
Authors Fotis Foukalas , Athanasios Tziouvaras
Last updated 2022-03-31 (Latest revision 2021-09-27)
RFC stream (None)
Intended RFC status (None)
Formats
Stream Stream state (No stream defined)
Consensus boilerplate Unknown
RFC Editor Note (None)
IESG IESG state Expired
Telechat date (None)
Responsible AD (None)
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This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:

Abstract

Next generation Internet requires decentralized and distributed intelligence in order to make available a new type of experience to serve the user's interests. Such new services will be enabled by deploying the intelligence over a high volume of IoT devices in a form of distributed protocol. Such a protocol will orchestrate the machine learning (ML) application in order to train the aggregated data available from the IoT devices. The training is not an easy task in such a distributed environment, where the amount of connected IoT devices will scale up and the needs for both interoperability and computing are high. This draft, addresses both issues by combining two emerging technologies known as edge AI and fog computing. The protocol procedures aggregate the data collected by the IoT devices into a fog node and apply edge AI for data analysis at the edge of the infrastructure. The analysis of the IoT requirements resulted in an end-to-end ML protocol specification which is presented throughout this draft.

Authors

Fotis Foukalas
Athanasios Tziouvaras

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