BMC Software has been granted a patent for a computer-implemented method that involves reading and writing data sets between a mainframe and object storage without setting the mainframe to BLP mode or unmounting the tape after each file. The method utilizes high level language code to efficiently transfer data. 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 May 2024 was 58%. Grant share is based on the ratio of number of grants to total number of patents.
Data set import/export between mainframe and object storage
A recently granted patent (Publication Number: US11972129B2) outlines a computer-implemented method for efficiently writing data sets representing files to various storage mediums on a Mainframe computer. The method involves receiving a request to copy data sets from an object storage connected over TCP/IP, locating mapping objects within the storage, reading tape headers, allocating data sets, retrieving data chunks, providing file contents to an assembly program, writing block by block to the storage medium, and closing the data set. The high-level language code, running on a Mainframe operating system, plays a crucial role in executing these tasks seamlessly.
Furthermore, the patent details the use of cloud storage as the object storage, Java code as the high-level language, and the storage of data set headers, file content, and trailers in chunk objects within the object storage. The method also involves mapping objects to efficiently manage data chunks and link objects to point to these mappings. By following this method, data sets can be effectively written to disks in AWSTAPE format, enhancing the efficiency and reliability of data transfer processes on Mainframe computers connected to cloud storage over TCP/IP.
To know more about GlobalData’s detailed insights on BMC Software, buy the report here.
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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.
