Snowflake inc. (20240320202). TRACKING EVALUATION OF WORKLOAD STABILITY THROUGH PERFORMANCE INDEXING simplified abstract

TRACKING EVALUATION OF WORKLOAD STABILITY THROUGH PERFORMANCE INDEXING

Organization Name

snowflake inc.

Inventor(s)

Vlad Bunescu of Morgan Hill CA (US)

Joshua Klahr of San Carlos CA (US)

Louis Magarshack of San Francisco CA (US)

Shiyu Qu of Bellevue WA (US)

Zerui Wei of San Mateo CA (US)

Jiaqi Yan of Menlo Park CA (US)

TRACKING EVALUATION OF WORKLOAD STABILITY THROUGH PERFORMANCE INDEXING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240320202 titled 'TRACKING EVALUATION OF WORKLOAD STABILITY THROUGH PERFORMANCE INDEXING

The patent application describes methods, systems, and computer programs for tracking evaluation of workload stability through performance indexing.

• A plurality of metric source data is received by at least one hardware processor.
• Based on this data, a workload is identified as a stable workload candidate.
• A performance index is generated, reflecting the characteristics of the identified stable workload candidate.
• The performance index is continuously tracked over a period of time, enabling the detection and analysis of any modifications to the workload and the subsequent impact on system performance.

1. 1. 1. Potential Applications:

This technology can be applied in various industries where workload stability and performance tracking are crucial, such as IT infrastructure management, cloud computing, and data centers.

1. 1. 1. Problems Solved:

This technology addresses the challenge of monitoring and analyzing workload stability and its impact on system performance in real-time, allowing for proactive adjustments to optimize efficiency.

1. 1. 1. Benefits:

- Improved system performance optimization - Enhanced workload stability monitoring - Real-time analysis of workload modifications

1. 1. 1. Commercial Applications:

The technology can be utilized by IT companies, cloud service providers, and data centers to enhance their operational efficiency and ensure optimal performance of their systems.

1. 1. 1. Questions about Workload Stability Tracking:

1. How does this technology improve workload stability monitoring compared to traditional methods? 2. What are the key factors that contribute to the generation of the performance index in this system?

1. 1. 1. Prior Art:

Researchers and developers interested in this technology may explore prior art related to workload stability tracking, performance indexing, and system optimization in the field of IT infrastructure management and cloud computing.

1. 1. 1. Frequently Updated Research:

Stay updated on the latest research and advancements in workload stability tracking, performance indexing, and system performance optimization to leverage the most current technologies and methodologies in this field.

Original Abstract Submitted

methods, systems, and computer programs are described for tracking evaluation of workload stability through performance indexing. a plurality of metric source data is received by at least one hardware processor. based on this data, a workload is identified as a stable workload candidate. a performance index is then generated, reflecting the characteristics of the identified stable workload candidate. the performance index is continuously tracked over a period of time, enabling the detection and analysis of any modifications to the workload and the subsequent impact on system performance.