Oracle international corporation (20240126607). WORKLOAD ANALYZER FOR MONITORING AND OPTIMIZING WORKLOAD PERFORMANCE simplified abstract

WORKLOAD ANALYZER FOR MONITORING AND OPTIMIZING WORKLOAD PERFORMANCE

Organization Name

oracle international corporation

Inventor(s)

Gaylen Royal of Pittsboro NC (US)

Karen Michaels of Hollis NH (US)

Björn Bolltoft of Kungsbacka (SE)

WORKLOAD ANALYZER FOR MONITORING AND OPTIMIZING WORKLOAD PERFORMANCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240126607 titled 'WORKLOAD ANALYZER FOR MONITORING AND OPTIMIZING WORKLOAD PERFORMANCE

Simplified Explanation

The patent application describes techniques for analyzing and tuning database workloads to optimize application performance. A workload analyzer compares captured workloads to identify changes in query distributions and performance, generating reports and recommendations for performance improvement.

• Workload analyzer for database optimization:

   - Compares captured workloads to identify changes in query distributions and performance.
   - Generates reports, alerts, tuning advice, and recommendations for performance improvement.

Potential Applications

The technology can be applied in various industries where database performance optimization is crucial, such as e-commerce, finance, healthcare, and more.

Problems Solved

1. Inefficient database workloads impacting application performance. 2. Difficulty in identifying and addressing performance bottlenecks in database systems.

Benefits

1. Improved application performance. 2. Enhanced efficiency in database query execution. 3. Cost savings by optimizing database resources.

Potential Commercial Applications

Optimizing database workloads for e-commerce platforms to enhance user experience and increase sales.

Possible Prior Art

Prior art in database performance optimization includes traditional methods like query optimization, indexing, and caching to improve database efficiency.

How does the workload analyzer handle large-scale database workloads?

The patent application does not specify how the workload analyzer manages and analyzes large volumes of database queries. Implementing efficient algorithms and data processing techniques could be crucial in handling extensive workloads effectively.

What security measures are in place to protect sensitive database information during workload analysis?

The patent application does not address the security aspects of analyzing database workloads, especially when dealing with sensitive data. Implementing encryption, access controls, and anonymization techniques could be essential to safeguard confidential information during the analysis process.

Original Abstract Submitted

techniques are described herein for analyzing and tuning database workloads to optimize application performance. in some embodiments, a workload analyzer identifies a captured workload that includes a set of database queries executed within a particular timeframe. the workload analyzer compares the workload within one or more other workloads executed within a previous timeframe to determine differences between the different workloads. for example, the workload analyzer may identify changes in the distributions of queries, including how many queries are unchanged, missing, and/or new. the workload analyzer may further detect changes in the performance of individual queries. the workload analyzer may determine the overall performance impact of such changes on the total workload. based on the analysis, the workload analyzer may generate reports, alerts, tuning advice, and/or recommendations to boost performance.