Dynamic approach to service level agreement risk

We model the time and network element failure dynamics of network operators´ service level agreement (SLA) risks. This involves identification of events interrupting service and stochastic modeling of failure events. The key concepts are modeling how a service builds from simple network components and the approximation of interval availability, when failures are rare and the SLA tracking period is in month/year scale. The dynamic SLA-risk gives rise to a component importance measure, which prioritizes repairs or indicates the importance of operability of a component in terms of SLA-risk in the current network and SLA state. Our work can be used in network planning and OAM.