Name
Abstract | ||
|---|---|---|
In a distributed environment, several components collaborate with each other to cater a complex functionality. Adaptation in distributed systems is one of the emerging trends that re-configures itself through components addition/removal/update, to cope up with faults. Components are generally inter-dependent, thus a fault propagates from one component to another. Existing root cause analysis techniques generally create a static faults' dependencies graph to identify the root fault. However, these dependencies keep on changing with adaptations that makes design-time fault dependencies invalid at run-time. This paper describes the problem of deriving causal relationships of faults in adaptive distributed systems. Then, presents a statechart-based solution that statically identifies the sequence of methods execution to derive the causal relationships of faults at run-time. The approach is evaluated, and found that it is highly scalable and time efficient that can be used to reduce the Mean Time To Recover (MTTR) of a distributed system. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-41033-8_38 | Lecture Notes in Computer Science |
Keywords | DocType | Volume |
Distributed Systems,Root cause analysis,Fault causal relationship,adaptive system,component-based system | Conference | 8186 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.43 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amit Raj | 1 | 1 | 0.43 |
| Stephen Barrett | 2 | 63 | 6.47 |
| Siobhán Clarke | 3 | 699 | 87.36 |