Sandvine‘s patent involves a system and method for traffic management on a network. It includes determining desired intent, setting classes for traffic flow, allocating bandwidth based on intent and user score, and shaping traffic flow accordingly. The method aims to optimize network performance and user experience. GlobalData’s report on Sandvine gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Sandvine, was a key innovation area identified from patents. Sandvine's grant share as of February 2024 was 98%. Grant share is based on the ratio of number of grants to total number of patents.

Traffic management system for network with desired intent and classes

Source: United States Patent and Trademark Office (USPTO). Credit: Sandvine Corp

A recently granted patent (Publication Number: US11924040B2) discloses a method for traffic management on a network. The method involves determining a desired intent for a network operator's traffic, setting classes for traffic flow through a link (including a dedicated class for DNS signaling), allocating bandwidth based on minimum and target requirements, measuring user score for each class, shaping traffic flow accordingly, and assessing if the shaped traffic improves user score. If not, the shaping per class is reduced.

Additionally, the method includes estimating link capacity, adjusting capacity and target score if necessary, determining bandwidth for the network, and proportionally allocating bandwidth among classes if it falls below target requirements. The set of classes can be based on application type, and the user score is determined based on Quality of Experience metrics like Round trip time, Throughput, and Loss, at predetermined intervals of five minutes. This innovative approach to traffic management aims to optimize network performance and user experience by dynamically adjusting bandwidth allocation based on real-time user feedback and network conditions.

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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.