In this paper, we present an approach for increasing service availability in intelligent video surveillance systems (IVS). A typical IVS system consists of various intelligent video sensors that combine image sensing with video analysis and network streaming. System monitoring and fault diagnosis followed by appropriate system reconfiguration mitigate effects of faults and therefore enhance the system´s fault tolerance. The applied monitoring and diagnosis unit (MDU) allows the detection of both node- and system-level faults. Lacking redundant hardware such reconfigurations are established by graceful degradation of the overall application. Multi-objective optimization is used to compute a new degraded system configuration by trading off quality of service (QoS), energy consumption, and service availability. We demonstrate our approach by typical scenarios in an IVS-system that necessitates reconfiguration.
|Titel||Telecommunications and Mobile Computing Workshop on Wearable and Pervasive Computing (TCMC 2005)|
|Publikationsstatus||Veröffentlicht - 2005|
|Veranstaltung||Telecommunications and Mobile Computing Workshop on Wearable and Pervasive Computing (TCMC 2005) - |
Dauer: 1 Jan. 2005 → …
|Konferenz||Telecommunications and Mobile Computing Workshop on Wearable and Pervasive Computing (TCMC 2005)|
|Zeitraum||1/01/05 → …|
- Nicht definiert
- Intelligent video surveillance; distributed embedded real-time system; dynamic reconfiguration; energy-awareness; quality-of-service adaptation; fault tolerance
- graceful degradation.