US 12,750,332 B2 · Techniques for a self-learning scalable event broker

Abstract

Techniques are disclosed for implementing a self-learning cloud-based message broker. The message broker can receive an event trigger that includes information usable to identify a subscribing client of a publisher-subscriber messaging system. The message broker can determine message parameters for one or more messages by sampling a distribution. The message broker can determine the message parameters in response to receiving the event trigger. The message broker can send the one or more messages to the subscribing client. The one or more messages can be characterized by the message parameters. The message broker can receive a response status from the subscribing client and, based on the response status, update the distribution.

Claims20

Dependent claims

A method, comprising:

receiving, by a message broker service executing in a computing environment, an event trigger comprising information usable to identify a subscribing client of a publisher-subscriber messaging system;
responsive to the event trigger, determining, by the message broker service, message parameters for one or more messages by sampling a distribution, the distribution characterizing a predicted response status of the subscribing client to the message;
sending, by the message broker service, the one or more messages to the subscribing client, the one or more messages characterized by the message parameters;
receiving, by the message broker service, a response status from the subscribing client;
and
updating, by the message broker service, the distribution based on the response status.

3 more elements

A distributed computing system, comprising:

one or more processors;
and
one or more memories storing computer-executable instructions that, when executed by the one or more processors, cause the distributed computing system to:
receive, by a message broker service executing in the distributed computing system, an event trigger comprising information usable to identify a subscribing client of a publisher-subscriber messaging system;
responsive to the event trigger, determine, by the message broker service, message parameters for one or more messages by sampling a distribution, the distribution characterizing a predicted response status of the subscribing client to the message;
send, by the message broker service, the one or more messages to the subscribing client, the one or more messages characterized by the message parameters;
receive, by the message broker service, a response status from the subscribing client;
and
update, by the message broker service, the distribution based on the response status.

6 more elements

A non-transitory computer-readable medium comprising executable instructions that, when executed by one or more processors of a distributed computing system, cause the distributed computing system to:

receive, by a message broker service executing in the distributed computing system, an event trigger comprising information usable to identify a subscribing client of a publisher-subscriber messaging system;
responsive to the event trigger, determine, by the message broker service, message parameters for one or more messages by sampling a distribution, the distribution characterizing a predicted response status of the subscribing client to the message;
send, by the message broker service, the one or more messages to the subscribing client, the one or more messages characterized by the message parameters;
receive, by the message broker service, a response status from the subscribing client;
and
update, by the message broker service, the distribution based on the response status.

3 more elements

Dependencies are inferred from the claim text.

Techniques for a self-learning scalable event broker

Life of this patent

Techniques for a self-learning scalable event broker

Life of this patent

Abstract

Claims20