17980394. HCI WORKLOAD SIMULATION simplified abstract (Dell Products L.P.)
Contents
- 1 HCI WORKLOAD SIMULATION
HCI WORKLOAD SIMULATION
Organization Name
Inventor(s)
HCI WORKLOAD SIMULATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17980394 titled 'HCI WORKLOAD SIMULATION
Simplified Explanation
The abstract describes a patent application for an information handling system that can receive telemetry information and configuration data, train an AI model based on this data, generate a benchmarking configuration file, and deploy it to a computing cluster for execution.
- The information handling system includes at least one processor and a memory.
- The system receives telemetry information about a target workload and configuration data about a computing cluster.
- It trains a workload AI model using the telemetry information and configuration data to simulate the target workload.
- Based on the AI model, it generates a benchmarking configuration file.
- Finally, the system deploys the benchmarking configuration file to the computing cluster for execution.
Potential Applications
This technology could be applied in various industries such as cloud computing, data centers, and performance testing.
Problems Solved
This technology helps in accurately simulating target workloads, optimizing computing cluster performance, and automating benchmarking processes.
Benefits
The benefits of this technology include improved efficiency, reduced manual intervention, and enhanced performance evaluation of computing clusters.
Potential Commercial Applications
A potential commercial application of this technology could be in offering benchmarking services to cloud service providers or data centers.
Possible Prior Art
One possible prior art could be the use of AI models for workload simulation and benchmarking in the field of performance testing.
Unanswered Questions
How does the system handle potential errors or discrepancies in the telemetry information and configuration data?
The system may have built-in error handling mechanisms to address discrepancies or errors in the input data, ensuring accurate simulation and benchmarking results.
What security measures are in place to protect the benchmarking configuration file during deployment to the computing cluster?
The system may employ encryption techniques or access control mechanisms to secure the benchmarking configuration file during deployment, preventing unauthorized access or tampering.
Original Abstract Submitted
An information handling system may include at least one processor and a memory. The information handling system may be configured to: receive telemetry information regarding a target workload; receive configuration data regarding a computing cluster that is to execute a simulation of the target workload; train a workload artificial intelligence (AI) model based on the telemetry information and the configuration data to create the simulation of the target workload; generate a benchmarking configuration file based on the workload AI model; and deploy the benchmarking configuration file to the computing cluster for execution.
