Name
Abstract | ||
|---|---|---|
Voting among replicated data collection devices achieves trusted data delivery to the end-user in a hostile environment. Failures may occur during data collection process: such as data corruptions by malicious devices and security/bandwidth attacks on data paths. How often a correct data is delivered to the user in a timely manner depicts the voting QoS. We study a model-based approach to inject faults in a data collection system for verification purposes. We advocate a stress-test of the system, i.e., subjecting the system to harsh conditions, to assess its resilience. The paper provides experimental studies of a voting system under injected faults, with message & time complexity analysis. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2611286.2611317 | DEBS |
Keywords | Field | DocType |
fault-injection & modeling,hierarchical control,sensor replication,distributed sensing,fault-tolerant system,network architecture and design,adaptive fault-tolerance,fault tolerant system | Psychological resilience,Data collection,Voting,Computer science,Computer security,Quality of service,Real-time computing,Fault tolerance,Bandwidth (signal processing),Time complexity,Data collection system,Distributed computing | Conference |
Citations | PageRank | References |
1 | 0.38 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaliappa Ravindran | 1 | 165 | 25.31 |
| Arun Adiththan | 2 | 13 | 8.26 |
| Anuja Prabhakar | 3 | 1 | 0.38 |