US Patent Application 18231832. Centralized Management of Distributed Data Sources simplified abstract
Contents
Centralized Management of Distributed Data Sources
Organization Name
Inventor(s)
Rajeev Koodli of Saratoga CA (US)
Mazin Gilbert of Warren NJ (US)
Centralized Management of Distributed Data Sources - A simplified explanation of the abstract
This abstract first appeared for US patent application 18231832 titled 'Centralized Management of Distributed Data Sources
Simplified Explanation
The patent application is about a central management plane (CMP) that regulates data streams from network nodes in a distributed network.
- The CMP can train and deploy machine learning models across the network nodes.
- The CMP generates policies for each network node, specifying how data should be transmitted for further training or retraining of the models.
- The policies are generated based on metric data characterizing each network node and its input data streams.
- The policies are generated with objectives including model output quality and operational cost of transmitting and processing data across the network.
Original Abstract Submitted
Aspects of the disclosure are directed to a central management plane (CMP) of one or more processors for regulating streams of data from each of a number of network nodes of a distributed network. The one or more processors can train and deploy machine learning models across the network nodes, and the CMP can generate policies for each network node. The generated policies specify how a network node is to transmit data to the platform for further training or retraining of the deployed machine learning models. The CMP generates the policies using metric data characterizing each network node and respective streams of input data, and are generated based on a number of objectives, including model output quality of the deployed models, and operational cost to transmit and process streams of data across the distributed network.
