Cloud Software Group had one patents in edge computing during Q4 2023. The patent filed by Cloud Software Group Inc in Q4 2023 relates to a Global Server Load Balancing (GSLB) service that utilizes network latency measurements between access points and client devices, as well as between access points and data centers, to determine the optimal data center and access point for routing traffic. The GSLB service also takes into account the health of applications deployed across data centers to make informed routing decisions, ultimately sending DNS responses to client devices with the most efficient routing information. 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 edge computing as a theme is 0% 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 by a processor, enable the processor to perform the steps outlined in the method claims, 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.