Alibaba Group had 21 patents in big data during Q1 2024. The patents filed by Alibaba Group Holding Ltd in Q1 2024 include a memory management method for data processing systems, a data processing system with memory error detection capabilities across different servers, a video data processing method for adaptive loop filters, a video data processing method for cross-component sample adaptive offset, and a data processing method for machine learning models with a security application module for encryption calculations. These patents focus on improving memory management, video processing, and data security in data processing systems. GlobalData’s report on Alibaba Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Alibaba Group grant share with big data as a theme is 23% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Data processing system and memory management method of data processing system (Patent ID: US20240095179A1)
The patent filed by Alibaba Group Holding Ltd. describes a memory management method for a data processing system involving the creation of memory zones related to different servers and nodes within the system. The method includes mapping these memory zones to specific memories within the servers, allowing processors to access memory across servers through interface circuits. The method also involves allocating memory pages based on availability and usage patterns, utilizing page tables to track memory page access, and implementing swapping mechanisms based on algorithms like least recently used or least frequently used.
Furthermore, the patent outlines a data processing system that includes multiple servers, nodes, and interface circuits to facilitate memory management across the system. The system allows for the allocation of memory pages to different memories within servers, including interconnecting nodes to access memory. It also involves the use of page tables to track memory page access and metadata corresponding to memory types. Additionally, the system includes mechanisms for swapping memory pages based on access patterns and sending interrupt requests to the operating system when necessary. Overall, the patent details a comprehensive memory management approach for efficient data processing and resource allocation within a complex system architecture.
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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.
