Automatic Data Processing has patented a cache refresh system for computer systems. The method involves setting a refresh indicator to “true,” refreshing data in cache memory, and then setting the indicator to “false.” The system ensures data is refreshed even on non-working days. GlobalData’s report on Automatic Data Processing 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 Automatic Data Processing, Digital lending was a key innovation area identified from patents. Automatic Data Processing's grant share as of January 2024 was 59%. Grant share is based on the ratio of number of grants to total number of patents.
Cache refresh system for computer systems
A recently granted patent (Publication Number: US11880572B2) discloses a method for refreshing data in cache memory efficiently. The method involves setting a refresh indicator to "true," refreshing the data in the cache memory when the indicator is true, and then setting the indicator back to "false" after the refresh. The indicator remains true during non-working days and resets to false before the first working day after a break. The system ensures that data is refreshed at optimal times to prevent staleness and is designed to handle bulk job processes effectively.
Furthermore, the patent includes details about a computer program product and a system implementing the method. The program product sets the refresh indicator upon user login, refreshes data during non-peak resource usage, and resets the indicator post-refresh. It accounts for holidays, ensuring the indicator remains true throughout the break and resets appropriately. The system comprises a processor, memory, and storage media with program instructions to manage cache data efficiently. It reads stale data, refreshes it from a remote storage system, and performs bulk refresh processes based on the refresh indicator status. Overall, the patent aims to optimize data refreshing in cache memory systems, ensuring data accuracy and availability while minimizing resource usage.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
