An Evaluation of Network Service Monitoring Method Using User Traffic Information

In many cases, telecommunications carriers maintain their communication networks by monitoring the normality of equipment, which they assume represents normality of services. Since telecommunications carriers provide a network service to users, they want to directly manage and operate the service itself. However, a service monitoring method cannot be provided on a large scale due to the problems of system size and high cost. In recent years, with the spread of telemetry, individual users' traffic information can be obtained from routers at low cost, which means the service usage status of individual users can be monitored. On the other hand, it is difficult to know whether a service has failed or is simply not being used when no traffic is observed. To overcome this problem, we propose and evaluate a service normality check method by using time series prediction in this paper.