| Publisher | University of California | ||
|---|---|---|---|
| Format | 725.6KB PDF | Date added | 02 Nov 2005 |
| Topics | Monitoring Systems, Processors, Network Administration | ||
| Downloads | 5 | ||
Many of the data sources used in stream query processing are known to exhibit bursty behavior. This paper focuses here on passive network monitoring, an application in which the data rates typically exhibit a large peak-to-average ratio. Provisioning a stream query processor to handle peak rates in such a setting can be prohibitively expensive. This paper, proposes to solve this problem by provisioning the query processor for typical data rates instead of much higher peak data rates. To enable this strategy, the paper presents mechanisms and policies for managing the tradeoffs between the latency and accuracy of query results when bursts exceed the steady-state capacity of the query processor.
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