Cloud Software Group had 25 patents in cloud during Q4 2023. Cloud Software Group Inc’s patents in Q4 2023 focus on optimizing network performance and resource allocation in cloud services. This includes systems for GSLB services to improve network latency, tunnel services for establishing connections with endpoints, and a recommendation engine for ranking points of presence in cloud platforms. Additionally, there are methods for delivering virtual applications and desktops efficiently by tagging data packets with metadata and controlling network resource allocation based on network conditions. GlobalData’s report on Cloud Software Group gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Cloud Software Group grant share with cloud as a theme is 64% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Optimizing selection of zero trust network access cloud edge nodes for internal application delivery (Patent ID: US20230421471A1)

The patent filed by Cloud Software Group Inc. describes a system and method for a Global Server Load Balancing (GSLB) service to optimize network latency by accessing measurements between access points, client devices, and data centers. The GSLB service receives health information about applications deployed across data centers, uses latency measurements to select the optimal data center and access point, and sends a DNS response to the client device with the identified optimal locations. The method involves receiving DNS requests, storing latency measurements, and determining the best data center based on application health and latency metrics.

The patent also includes claims for a network node with processors configured to access latency measurements, receive application health data, determine optimal data center and access point based on latency and health information, and send DNS responses to client devices. The claims cover various aspects such as receiving DNS requests, storing measurements, selecting data centers based on application health, and including metadata in DNS responses. Additionally, the patent includes instructions stored on a computer-readable medium that, when executed, enable processors to access latency measurements, receive application health data, determine optimal data center and access point, and send DNS responses to client devices, emphasizing the importance of optimizing network latency for efficient application delivery.

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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.