BMC Software. has been granted a patent for a method that identifies buffer pools for page fixing in database subsystems. The process involves collecting data, monitoring storage availability, calculating I/O intensity scores, and selecting the highest-ranked buffer pool based on cumulative scores and storage conditions. GlobalData’s report on BMC Software gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on BMC Software, Hybrid cloud mgmt was a key innovation area identified from patents. BMC Software's grant share as of June 2024 was 81%. Grant share is based on the ratio of number of grants to total number of patents.
Buffer pool selection for page fixing in databases
The patent US12045208B2 outlines a computer-implemented method and system for identifying a buffer pool for page fixing within multiple database subsystems operating in a logical partition (LPAR). The method involves collecting data from various buffer pools at regular intervals, monitoring real storage availability, and calculating an input/output (I/O) intensity score for each buffer pool. These scores are used to rank the buffer pools, both individually and cumulatively over multiple intervals, to identify the highest-ranked candidate for page fixing that meets the real storage availability criteria. Additional features include the ability to monitor frame size availability, select optimal frame sizes for page fixing, and accommodate user-configurable thresholds for LPAR parameters.
Moreover, the patent describes a computer program product that embodies this method, allowing for the execution of the described processes on a computing device. It includes functionalities for responding to queries regarding specific buffer pools and providing rankings based on I/O intensity scores. The system is designed to enhance the efficiency of database operations by optimizing buffer pool management, thereby improving overall performance in environments with multiple database subsystems. The claims emphasize the method's adaptability to user-defined parameters and its capability to generate insights through query responses, making it a comprehensive solution for buffer pool management in database systems.
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