Dell products l.p. (20240126672). HCI WORKLOAD SIMULATION simplified abstract
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 20240126672 titled 'HCI WORKLOAD SIMULATION
Simplified Explanation
The abstract describes a patent application for an information handling system that can receive telemetry information about a target workload, configuration data about a computing cluster, train an AI model based on this data, generate a benchmarking configuration file, and deploy it to the computing cluster for execution.
- The information handling system includes at least one processor and memory.
- It receives telemetry information about a target workload.
- It receives configuration data about a computing cluster.
- It trains a workload AI model based on the telemetry information and configuration data.
- It generates a benchmarking configuration file based on the workload AI model.
- It 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 configurations, and improving benchmarking processes.
Benefits
The benefits of this technology include improved workload simulation accuracy, enhanced cluster performance, and streamlined benchmarking procedures.
Potential Commercial Applications
One potential commercial application of this technology could be in the field of cloud computing services, where accurate workload simulations and benchmarking are crucial for performance optimization.
Possible Prior Art
Prior art in this field may include existing systems for workload simulation, benchmarking tools, and AI models for optimizing computing performance.
Unanswered Questions
How does this technology compare to existing benchmarking tools in terms of accuracy and efficiency?
This article does not provide a direct comparison between this technology and existing benchmarking tools. Further research or testing may be needed to determine the specific advantages of this innovation.
What are the potential limitations or challenges in deploying the benchmarking configuration file to the computing cluster?
The article does not address any potential obstacles or difficulties that may arise during the deployment process. Additional information or case studies may be necessary to understand the practical implications of this technology.
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.
