20240054019. SPARE RESOURCE AVAILABILITY PREDICTION WITH LIMITED HISTORICAL DATA simplified abstract (NetApp, Inc.)

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SPARE RESOURCE AVAILABILITY PREDICTION WITH LIMITED HISTORICAL DATA

Organization Name

NetApp, Inc.

Inventor(s)

Tal Ohayon of Tel Aviv (IL)

Idan Schwartz of Tel Aviv (IL)

SPARE RESOURCE AVAILABILITY PREDICTION WITH LIMITED HISTORICAL DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240054019 titled 'SPARE RESOURCE AVAILABILITY PREDICTION WITH LIMITED HISTORICAL DATA

Simplified Explanation

The system described in the patent application includes a memory for storing computer executable components and a processor for executing these components. The components include a correlation component that identifies a spare resource instance in a networked system based on a first context, and an evaluation component that predicts the availability of the spare resource instance based on a second context and deploys it in the networked system.

  • Correlation component identifies a spare resource instance in a networked system based on a first context
  • Evaluation component generates an availability score predicting the availability of the spare resource instance based on a second context
  • Evaluation component deploys the spare resource instance in the networked system based on the availability score

Potential Applications

- Resource allocation in networked systems - Predictive maintenance in industrial systems - Load balancing in cloud computing environments

Problems Solved

- Efficient utilization of spare resources - Improved availability prediction - Automated deployment of spare resources

Benefits

- Increased system reliability - Optimized resource allocation - Cost savings through efficient resource utilization


Original Abstract Submitted

a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. the computer executable components can comprise a correlation component that, based on a first context defining a first spare resource instance to be utilized in a networked system, identifies a second spare resource instance, and an evaluation component that generates an availability score defining prediction of availability of the first spare resource instance based on a second context defining the second spare resource instance, wherein the evaluation component further deploys the first spare resource instance, based on the availability score, in the networked system.