NetScout Systems patented a method for monitoring network performance in telecommunication networks with Virtual Machines (VM) in a cluster format. The method involves receiving packets, extracting metadata, distributing packets to VMs for load balancing, and generating key performance indicator (KPI) data for subscribers. GlobalData’s report on NetScout Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on NetScout Systems, Cloud computing disaster recovery was a key innovation area identified from patents. NetScout Systems's grant share as of February 2024 was 76%. Grant share is based on the ratio of number of grants to total number of patents.
Network performance monitoring in telecommunication network with virtual machines
A recently granted patent (Publication Number: US11929904B2) discloses a computer-implemented method for monitoring network performance in a telecommunication network with Virtual Machines (VM) arranged in a cluster format. The method involves receiving packets from the network at a VM smart cluster device, extracting metadata to identify subscriber information, distributing packets among VMs for load balancing based on specific criteria, and generating key performance indicator (KPI) session data associated with subscribers. The method also includes deciphering ciphered packets, aggregating subscriber data from VMs in a monitoring device, and performing deep packet inspection on subscriber packets.
Furthermore, the patent describes a computer system for monitoring a telecommunication network, comprising a VM smart cluster device, a plurality of VMs for load balancing and generating KPI data, and at least one monitoring device for aggregating subscriber data and performing on-demand analysis. The system allows scalability by adding or subtracting VMs based on network load demand and utilizes deep packet inspection for stateful load balancing among VMs. The system also aggregates KPI data from VMs associated with subscribers, providing efficient cluster-based monitoring for network performance in a telecommunication environment.
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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.
