Toronto-Dominion Bank has filed a patent for a computer-implemented method to automatically manage storage resources in a distributed file system. The method involves analyzing past storage data, detecting space quota limits, and adjusting them based on projected usage data and correction coefficients. GlobalData’s report on Toronto-Dominion Bank 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 Toronto-Dominion Bank, Blockchain-based gaming platforms was a key innovation area identified from patents. Toronto-Dominion Bank's grant share as of January 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Automatically managing storage resources of a distributed file system
A computer-implemented method for automatically managing storage resources of a distributed file system has been claimed in a filed patent (Publication Number: US20240037073A1). The method involves obtaining actual past storage usage data of a first directory, detecting a space quota limit for the directory, and determining projected storage usage data for the future period. This projection is based on the rate of change of past storage usage data and a moving average, with adjustments made to the space quota limit if the expected value is inconsistent. The method also includes computing correction coefficients based on aggregated projected storage needs of all directories and adjusting space quota limits accordingly. The method aims to optimize storage resource management by predicting future storage usage and adjusting limits accordingly.
Furthermore, the patent claims a computer device for implementing the method described above. The device includes a storage device, communications interface, and at least one processor configured to execute the instructions for managing storage resources of a distributed file system. The device is designed to obtain past storage data, detect space quota limits, determine projected storage usage, compute correction coefficients, and adjust space quota limits based on expected values. By applying machine learning techniques to predict data storage usage and manage resources effectively, the computer device aims to streamline storage management processes in a distributed file system. The device's functionality allows for efficient allocation of storage resources based on projected needs and ensures that space quota limits are adjusted in a timely manner to prevent storage overflows.
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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.
