Applying Artificial Intelligence in Network Operators

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Applying Artificial Intelligence in Network Operators


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Applying Artificial Intelligence in Network Operators

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Artificial Intelligence (AI) is a widely used technique that basically describes the capability to simulate or imitate the human reasoning as intelligent behavioral. It has been applied to several areas and they can help to solve problems in the networking area. SDN (Software-Defined Networking) is a technology that enables automation in network, but to take some actions, we need data from the network elements. Current solutions for real time information retrieval, used for various network management purposes service’s performance monitoring, network reconciliation or assurance are based on polling, strategy which may be suboptimal in some cases. Polling incurs significant latency, both because the event might occur at any moment in between of the client polling period and because the device introduces some delay during the system request processing. This latency precludes many real-time of applications which relay on instant information arrival to operate under this mechanism, which may even saturate the Data Communication Network (DCN) network when the amount of another scenario is that of applications that track datastore configuration changes through notifications. To get the event, many remote polling cycles are done without any change detected and wasting resources in the network, devices, and applications. This is clear in scenarios where the changes occur only infrequently. Telemetry is a technology to enable artificial intelligence in network operator scenarios.

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