US 12,764,195 B2Granted

Optimizing legacy protocols for internet of things devices

AssigneeInternational Business Machines Corporation

InventorsJeremy R. Fox, Martin G. Keen, Su Liu, Zachary Augustus Silverstein

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Abstract

A computer-implemented method for managing Internet of Things (IoT) protocols. A processor set continuously monitoring a number of IoT devices to collect a set of data from the number of IoT devices. The processor set trains a number of machine learning models using the set of data as training data. The processor set performs predictive analysis using the number of machine learning models to determine state of each protocol for the number of IoT devices based on real-time data from the set of data. The processor set identifies a number of legacy protocols from the protocols for the number of IoT devices based on the states of protocols for the number of IoT devices using the number of machine learning models. The processor set migrates the number of legacy protocols to a number of new protocols to optimize performance for the number of IoT devices.

Claims20

Dependent claims

A computer implemented method for managing Internet of Things (IoT) protocols, the computer implemented method comprising:

continuously monitoring, by a processor set, a number of IoT devices to collect a set of data from the number of IoT devices, wherein the set of data is associated with IoT protocols and performance for the number of IoT devices;
training, by the processor set, a number of machine learning models using the set of data as training data;
performing, by the processor set using the number of machine learning models, predictive analysis to determine a state of each IoT protocol for the number of IoT devices based on real-time data from the set of data;
identifying, by the processor set using the number of machine learning models, a number of legacy protocols from the IoT protocols for the number of IoT devices based on the state of the IoT protocol for the number of IoT devices;
identifying, by the processor set, a number of new protocols for the number of legacy protocols by comparing metrics for IoT devices from the number of IoT devices that are using the number of legacy protocols to metrics for other devices that previously used the number of legacy protocols and have migrated to the number of new protocols;
and
migrating, by the processor set, the number of legacy protocols to the number of new protocols to optimize performance for the number of IoT devices.

4 more elements

A computer system for managing Internet of Things (IoT) protocols, comprising:

a processor set;
a set of one or more computer-readable storage media;
and
program instructions stored on the set of one or more storage media to cause the processor set to perform operations comprising:
continuously monitoring a number of IoT devices to collect a set of data from the number of IoT devices, wherein the set of data is associated with IoT protocols and performance for the number of IoT devices;
training a number of machine learning models using the set of data as training data;
performing predictive analysis to determine a state of each IoT protocol for the number of IoT devices based on real-time data from the set of data using the number of machine learning models;
identifying a number of legacy protocols from the IoT protocols for the number of IoT devices based on the states of the IoT protocols for the number of IoT devices using the number of machine learning models;
identifying a number of new protocols for the number of legacy protocols by comparing metrics for IoT devices from the number of IoT devices that are using the number of legacy protocols to metrics for other devices that previously used the number of legacy protocols and have migrated to the number of new protocols;
and
migrating the number of legacy protocols to a number of new protocols to optimize performance for the number of IoT devices.

8 more elements

A computer program product, comprising:

a set of one or more computer-readable storage media;
program instructions stored in the set of one or more computer-readable storage media to perform operations comprising:
continuously monitoring, by a processor set, a number of IoT devices to collect a set of data from the number of IoT devices, wherein the set of data is associated with IoT protocols and performance for the number of IoT devices;
training, by the processor set, a number of machine learning models using the set of data as training data;
performing, by the processor set using the number of machine learning models, predictive analysis to determine a state of each IoT protocol for the number of IoT devices based on real-time data from the set of data;
identifying, by the processor set using the number of machine learning models, a number of legacy protocols from the IoT protocols for the number of IoT devices based on the states of the IoT protocols for the number of IoT devices;
identifying, by the processor set, a number of new protocols for the number of legacy protocols by comparing metrics for IoT devices from the number of IoT devices that are using the number of legacy protocols to metrics for other devices that previously used the number of legacy protocols and have migrated to the number of new protocols;
and
migrating, by the processor set, the number of legacy protocols to a number of new protocols to optimize performance for the number of IoT devices.

6 more elements

Dependencies are inferred from the claim text.