US 2026/0093553 A1 · AUTOMATED TASK DELIVERY USING CHECKPOINTING

Abstract

A computer system automates and balance loads balancing a Highly Available Server (HA server), a plurality of nodes, a final delivery server, a failover mechanism within the HA server, and a methodology for a reinforcement learning model. The HA server maintains a dynamic list of reports, assigns tasks to the nodes based on their availability status, and employs a reinforcement learning-based model to optimize task assignment. The nodes receive and complete assigned tasks from the HA server and sends task outputs back to the HA server. The final delivery server receives processed reports from the HA server. The failover mechanism detects node failures and reassigns tasks among remaining operational nodes. The reinforcement learning model updates its task allocation policy based on the success or failure of completed tasks, maximizes system efficiency, and adjusts the policy to mitigate the impact of system failures.

Claims20

Dependent claims

A method for load-balanced delivery of completed tasks to servers, the method comprising:

establishing a message queue at a first server for communication with a plurality of nodes, wherein the first server maintains a list of tasks to be completed and delivered to the nodes;
monitoring the plurality of nodes to determine their availability;
assigning tasks to an available node of the plurality of nodes using reinforcement learning, wherein a reward is determined based on a completion status of the assigned task for a current state of the available node;
receiving a completed task from the available node;
acknowledging completion of the assigned task by the available node;
and
delivering the completed task to a second server.

4 more elements

Dependencies are inferred from the claim text.

Automated task delivery using checkpointing

Life of this patent

Automated task delivery using checkpointing

Life of this patent

Abstract

Claims20