Run-Time Root Cause Analysis in Adaptive Distributed Systems

Abstract. In a distributed environment, several components collabo-rate with each other to cater a complex functionality. Adaptation in dis-tributed 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 gener-ally 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 de-scribes the problem of deriving causal relationships of faults in adaptive distributed systems. Then, presents a statechart-based solution that stat-ically 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