18048725. SYSTEM AND METHOD FOR AUTOMATED WORKLOAD IDENTIFICATION, WORKLOAD MODEL GENERATION AND DEPLOYMENT simplified abstract (Dell Products L.P.)

SYSTEM AND METHOD FOR AUTOMATED WORKLOAD IDENTIFICATION, WORKLOAD MODEL GENERATION AND DEPLOYMENT

Organization Name

Dell Products L.P.

Inventor(s)

BINA K. Thakkar of Cary NC (US)

DAVID C. Waser of Holly Springs NC (US)

ASHISH ARVINDBHAI Pancholi of Cary NC (US)

SYSTEM AND METHOD FOR AUTOMATED WORKLOAD IDENTIFICATION, WORKLOAD MODEL GENERATION AND DEPLOYMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18048725 titled 'SYSTEM AND METHOD FOR AUTOMATED WORKLOAD IDENTIFICATION, WORKLOAD MODEL GENERATION AND DEPLOYMENT

Simplified Explanation

The system described in the patent application gathers workload data from multiple information handling systems, categorizes the data into different bins, analyzes workload characteristics, and identifies relevant data sets for a target system. The workload mix is then determined based on the target system and workload characteristics, with real customer data used to validate the workload model before deployment.

• Workload data is collected from various information handling systems.
• The data is segmented into different workload data bins.
• Characteristics of the workload data in each bin are identified.
• Relevant workload data sets for the target system are determined.
• A workload mix is established based on the target system and workload characteristics.
• Real customer data is utilized to validate the accuracy of the workload model before deployment.

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1. 1. 1. Potential Applications

This technology can be applied in various industries such as cloud computing, data centers, and network management to optimize workload distribution and resource allocation.

1. 1. 1. Problems Solved

1. Efficient workload modeling for information handling systems. 2. Accurate workload prediction for target systems.

1. 1. 1. Benefits

1. Improved system performance. 2. Enhanced resource utilization. 3. Cost-effective workload management.

1. 1. 1. Potential Commercial Applications

Optimizing workload models for cloud service providers to enhance customer experience and increase operational efficiency.

1. 1. 1. Possible Prior Art

Prior research in workload modeling and resource allocation for information systems may exist, but specific prior art related to this patent application is not provided.

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1. 1. 1. 1. Unanswered Questions

1. 1. 1. 1. How does this technology handle dynamic workload changes in real-time?

The patent application does not specify how the system adapts to real-time workload fluctuations and adjusts the workload model accordingly.

1. 1. 1. 1. What security measures are in place to protect the gathered workload data?

The patent application does not detail the security protocols implemented to safeguard the confidentiality and integrity of the workload data collected from information handling systems.

Original Abstract Submitted

A system for generating a workload model for a target information handling system includes gathering workload data from a plurality of information handling systems, dividing the workload data into a plurality of workload data bins, identifying workload data characteristics for each workload data bin and identifying workload data sets that may be applicable to the target information handling system. A workload mix may be determined based on the target information handling systems and workload data characteristics. Real customer workload data including real-time or near real-time workload data may be used to check a workload model for accuracy before deploying the workload model to a target information handling system.