18316069. WORKLOAD ANALYZER FOR MONITORING AND OPTIMIZING WORKLOAD PERFORMANCE simplified abstract (Oracle International Corporation)

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 18316069 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.

• Techniques for analyzing and tuning database workloads:

   * Workload analyzer identifies captured workloads
   * Compares workloads to determine differences
   * Detects changes in query distributions and performance
   * Generates reports, alerts, tuning advice, and recommendations

Potential Applications

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

Problems Solved

1. Inefficient database query performance 2. Difficulty in identifying performance bottlenecks in database workloads

Benefits

1. Improved application performance 2. Enhanced user experience 3. Cost savings through efficient database utilization

Potential Commercial Applications

Optimizing database workloads for e-commerce platforms to ensure fast and reliable transaction processing.

Possible Prior Art

One possible prior art could be the use of database management systems with built-in performance monitoring and tuning features to optimize database workloads.

How does the workload analyzer handle large volumes of database queries for analysis?

The patent application does not provide specific details on how the workload analyzer manages and processes large amounts of data for workload analysis.

What types of database management systems are compatible with the workload analyzer for performance tuning?

The patent application does not mention the compatibility of the workload analyzer with different types of database management systems for performance optimization.

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.