2013 | OriginalPaper | Buchkapitel
Run-Time Root Cause Analysis in Adaptive Distributed Systems
verfasst von : Amit Raj, Stephen Barrett, Siobhan Clarke
Erschienen in: On the Move to Meaningful Internet Systems: OTM 2013 Workshops
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.