VNFs: Difference between revisions
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* '''Network Insights''' Enables real-time actionable insights to optimize network performance, ensure the customer experience, understand the end-to-end service quality and locate and resolve any performance issues quickly. | * '''Network Insights''' Enables real-time actionable insights to optimize network performance, ensure the customer experience, understand the end-to-end service quality and locate and resolve any performance issues quickly. | ||
RADCOM Network Intelligence is automated, and cost-efficient providing on-demand functionality and is designed specifically for the needs of telecom operators. RADCOM specializes in assuring next-generation, high capacity networks such as 4G, LTE-Advanced, 5G, IMS, SDN/NFV while also supporting legacy networks like 2G, 3G as well as fixed access networks like xDSL and FTTx. | RADCOM Network Intelligence is automated, and cost-efficient providing on-demand functionality and is designed specifically for the needs of telecom operators. RADCOM specializes in assuring next-generation, high capacity networks such as 4G, LTE-Advanced, 5G, IMS, SDN/NFV while also supporting legacy networks like 2G, 3G as well as fixed access networks like xDSL and FTTx. | ||
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|[[Radware.png|180px|link=https://www.radware.com]] | |||
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|'''Radware DetectPro''' is a flexible lightweight anomaly-detection system. The software receives network streams from various packets/log feeders, processes the data, and produces attack notifications via REST and syslog interfaces. The DetectPro anomaly-detection mechanism supports various detection algorithms, which cover a wide variety of cyberattacks. The DetectPro software uses information captured from the communication stream to analyze and detect anomalies. The software uses machine learning techniques to identify anomalies which indicates security threats in 5G NB-IOT communication path. By using telemetry data from links in the MEC Radware system can determine risks to 5G MEC components. Radware DetectPro can identify anomaly of NB-IOT devices and DoS attacks aimed to impact services in the mobile network. | |||
'''Radware® (NASDAQ: RDWR)''', is a global leader of cyber security and application delivery solutions for physical, cloud, and software defined data centers. Its award-winning solutions portfolio secures the digital experience by providing infrastructure, application, and corporate IT protection services to enterprises globally. Radware’s solutions empower more than 12,500 enterprise and carrier customers worldwide to adapt to market challenges quickly, maintain business continuity and achieve maximum productivity while keeping costs down. | |||
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Revision as of 13:29, 23 October 2018
This page provides a list of organisations providing OSM compatible Virtual Network Functions (VNFs). Click on the logos for additional details.
Netrounds is a programmable test and service assurance solution using software-based and traffic-generating test agents. The Netrounds Test Agents can be deployed in a wide variety of fully virtualized and public cloud environments and orchestrated using Open Source MANO (ETSI OSM) or other MANO solutions.
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180px|link=https://www.radware.com | Radware DetectPro is a flexible lightweight anomaly-detection system. The software receives network streams from various packets/log feeders, processes the data, and produces attack notifications via REST and syslog interfaces. The DetectPro anomaly-detection mechanism supports various detection algorithms, which cover a wide variety of cyberattacks. The DetectPro software uses information captured from the communication stream to analyze and detect anomalies. The software uses machine learning techniques to identify anomalies which indicates security threats in 5G NB-IOT communication path. By using telemetry data from links in the MEC Radware system can determine risks to 5G MEC components. Radware DetectPro can identify anomaly of NB-IOT devices and DoS attacks aimed to impact services in the mobile network.
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Would you like to see your OSM compatible VNF(s) listed here? Please send an email to OSMSupport@etsi.org with the following information:
Subject: OSM Ecosystem - VNF
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