Open Text has been granted a patent for a computer-implemented method that enables parallel downloading of content. The method assesses network latency and download times to determine whether to split downloads, allowing simultaneous retrieval of multiple content parts from a server to a client computer. GlobalData’s report on Open Text 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 Open Text, AI for workflow management was a key innovation area identified from patents. Open Text's grant share as of June 2024 was 85%. Grant share is based on the ratio of number of grants to total number of patents.
Parallel downloading of content from a server
The granted patent US12047474B1 outlines a computer-implemented method for parallel downloading of content from a server to a client computer. The method initiates by connecting to a server and starting the download process. It includes a decision-making component that evaluates whether to split the download based on several factors, such as network latency, download speed, estimated download time, and remaining download time. If the conditions indicate that the remaining download time exceeds the estimated time, the method allows for simultaneous downloading of different parts of the content from potentially multiple servers, thereby optimizing the download process.
Additionally, the patent describes the technical implementation of this method, which involves creating multiple threads for downloading. The first thread handles the initial part of the content, while a parallel thread is activated to download an additional part concurrently. This approach not only enhances efficiency but also allows for the possibility of downloading from different servers. The claims further specify the use of connection time as a threshold for determining whether to split the download, ensuring that the process is responsive to varying network conditions. Overall, the patent presents a structured framework for improving content download speeds through parallel processing techniques.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
