Network monitoring applications are prone to continuous overload situations due to the extreme and highly variable data rates of network traffic, traffic anomalies and network attacks. These overload situations can have a severe and unpredictable impact on the accuracy of monitoring applications, right when they are most valuable to network operators. Load shedding via traffic sampling has rece...

Outage of a heavily loaded transmission line or tripping of large generating unit may lead the system toward collapse. Under such circumstances, compared to other measures, load shedding procedure is an efficient method to make the power system voltage stable when many system variables are out of their normal ranges and the system is driven toward collapse. This paper introduces the concept of ...

This paper proposes a new adaptive underfrequency load shedding scheme (UFLS) to avoid frequency instability in electrical power system during abnormal wide area disturbances. The developed is based on online monitoring of the distance relay zone 3 decisions some tie lines using (WAMS) and SCADA/EMS systems, check rapidly reliably uncontrolled islanding conditions and, permit an automatic actio...

For many applications, it is important to evaluate trigger conditions on streaming time series. In a resource constrained environment, users’ needs should ultimately decide how the evaluation system balances the competing factors such as evaluation speed, result precision, and load shedding level. This paper presents a basic framework for evaluation algorithms that takes user-specified quality ...

We present the design of a predictive load shedding scheme for a network monitoring platform that supports multiple and competing traffic queries. The proposed scheme can anticipate overload situations and minimize their impact on the accuracy of the traffic queries. The main novelty of our approach is that it considers queries as black boxes, with arbitrary (and highly variable) input traffic ...