Download now Free registration required
The timely detection that a monitored variable has crossed a given threshold is a fundamental requirement for many network management applications. A challenge is the detection of threshold crossing of network-wide variables, which are computed from device counters across the network, using aggregation functions such as SUM, MAX and AVERAGE. This paper contains a detailed description and a comprehensive evaluation of TCA - GAP, a protocol for detecting threshold crossings of network-wide aggregates in a distributed way. Elements of its design include tree-based incremental aggregation for estimating the value of aggregates, a local hysteresis mechanism to reduce overhead and dynamic re-computation of local thresholds to ensure correctness.
- Format: PDF
- Size: 1239.04 KB