Seagate Technology has been granted a patent for a method involving data storage servers that proactively predict and migrate data packets to different memory locations based on performance metrics to ensure quality of service agreements are met efficiently. The technology aims to optimize data storage costs and access requirements. GlobalData’s report on Seagate Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Seagate Technology, Artificial concrete aggregates was a key innovation area identified from patents. Seagate Technology's grant share as of January 2024 was 71%. Grant share is based on the ratio of number of grants to total number of patents.

Data packet migration based on quality of service agreement

Source: United States Patent and Trademark Office (USPTO). Credit: Seagate Technology Holdings PLC

A recently granted patent (Publication Number: US11886732B2) discloses a method for efficiently storing data packets in a data storage server to meet Quality of Service (QoS) agreements between hosts and clients. The method involves storing data packets in different memories with varying data transfer latencies and costs, proactively copying data packets based on predictive performance metrics, and migrating data packets to the most cost-effective memory based on future access requirements predicted by the system. By dynamically managing data storage locations and considering performance metrics, the method aims to optimize data storage costs while ensuring QoS agreements are met.

Furthermore, the patent also describes an apparatus comprising a data storage server with multiple memories, a controller, a data migration module, and a prediction module. This apparatus is designed to proactively copy data packets between memories, predict future access requirements, and migrate data packets to the most cost-effective memory based on performance metrics. The system is configured to ensure that both logged and predictive performance metrics are considered when determining the optimal storage location for data packets. By utilizing a combination of different memory types and proactive data management techniques, the apparatus aims to enhance data storage efficiency and cost-effectiveness while maintaining QoS agreements between hosts and clients.

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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.