Reliance Industries has patented a system with an Alarm Management Module (AMM) for network function virtualization units (NFVU). The AMM enriches alarms with infrastructure-specific data, identifies actionable alarms, and transmits enriched information for real-time action. This innovation aims to streamline alarm handling and improve network efficiency. GlobalData’s report on Reliance Industries gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Alarm management system for network function virtualization infrastructure
A recently granted patent (Publication Number: US11924019B2) discloses a system designed to manage alarms raised by applications running on a network function virtualization unit (NFVU) infrastructure. The system includes an alarm management module (AMM) coupled with a processor that enriches alarms with NFVU-specific information based on the infrastructure's physical-and-virtual inventory. By identifying actionable alarms through an alarm correlation learning and prediction engine, the system aims to reduce alarm floods and enable real-time actions based on the enriched alarm information. Additionally, the system can receive infrastructure alarms related to hardware resources, enrich them with application information, and manage virtualized resources such as computing units, storage units, and network units.
Furthermore, the system incorporates a virtualized infrastructure manager (VIM) to oversee the NFVU, a selection module to determine enrichment methods, and an alarm correlation engine that learns performance thresholds for hardware resources over time. The system also includes element management systems (EMSs) between the NFVU infrastructure and the AMM to generate application and infrastructure alarms. By leveraging a combination of real-time and near-real-time enrichment processes, the system aims to streamline alarm management and prediction within NFVU infrastructures. The method outlined in the patent involves receiving alarms, enriching them with infrastructure-specific data, and transmitting actionable alarm information to computing devices for prompt responses, showcasing a comprehensive approach to efficient alarm handling in complex virtualized environments.
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