Zscaler had 16 patents in cloud during Q1 2024. Zscaler Inc filed patents in Q1 2024 for systems and methods related to dynamic core assignment for virtual machines in public cloud environments, synchronizing device states across distributed systems, session similarity identification, visualization monitoring data from a cloud-based system, and performing risk assessment activities. These patents aim to improve performance, ensure synchronization, identify risks, and provide visual monitoring data for cloud-based systems. GlobalData’s report on Zscaler gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Zscaler grant share with cloud as a theme is 43% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Dynamic core assignment for virtual machines in public cloud environments (Patent ID: US20240103932A1)

The patent filed by Zscaler Inc. describes systems and methods for dynamic core assignment for virtual machines in public cloud environments. The process involves booting up a software package for a virtual node with N processes initially configured to operate on N cores. The configuration of the virtual node is determined based on communication within the cloud system. Depending on the configuration, the processes are either configured to operate on individual cores or, for improved performance, some processes are operated on multiple cores while others are omitted after a reboot.

The method outlined in the patent includes steps for booting up the software package, determining the configuration based on cloud communication, and adjusting the core assignment accordingly. The configuration can be fetched from a central authority node, and users may be prompted for performance selection before rebooting. Different configurations, such as cluster and standalone configurations, impact the core assignment, with load balancing functions and service functionality child processes distributed across cores. The patent also covers the use of non-transitory computer-readable mediums to execute the described steps, emphasizing the dynamic nature of core assignment for optimizing performance in cloud-based systems.

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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.