A5003981162- Software System Performance and Reliability
- Service-Oriented Architecture and Web Services
- Network Security and Intrusion Detection
- Advanced Algorithms and Applications
- Machine Fault Diagnosis Techniques
- Advanced Software Engineering Methodologies
- Engineering Diagnostics and Reliability
- Software Reliability and Analysis Research
Anhui Agricultural University
2024
Beijing University of Posts and Telecommunications
2009
The great challenges of Internet service fault management are uncertainty and noise. To address these challenges, we model the scenario through a multi-layer model, propose an approach using active probing to detect diagnose faults. This uses bipartite Bayesian network as dependency binary symmetric channel noise is composed two phases: detection diagnosis. In first phase, greedy approximation probe selection algorithm (GAPSA), which selects minimal set probes while remaining high...
The challenges of fast fault diagnosis for large scale service systems are analyzed in this paper. A multi-layer management model is proposed to the scenario, which builds bipartite Bayesian network denote dependence relationships. An incremental belief assessment method analyze symptoms and compute posterior probabilities an event-driven manner. Based on method, we propose a greedy algorithm produce sub-optimal explanation. To reduce complexity selection, transform problem finding MPE into...
Today's distributed systems often involve multiple administrative domains, each with a different organization and management policy. The centralized fault diagnosis techniques are not applicable to these systems. In this paper, we propose dependency model for building the dependencies in Based on model, two algorithms proposed, DDA (distributed algorithm) ADDA (advanced algorithm). improves from three aspects: less communication cost, more accurate effect evaluation function spurious symptom...