Distributed chronicles for recognition of failures in web services composition

Abstract

The chronicles paradigm has been used to determine fault in dynamic systems, allow modeling the temporal relationships between observable events to describe the patterns of behavior of the system. The chronicle recognition mechanisms used until now are semi-centralized approaches, which consist of a central component that is responsible for making the final inference about the fault diagnosis of the system, based on the information collected from local diagnosers. This model has difficulty when is implemented for monitoring very large systems. This paper proposes a fault diagnosis system based on distributed chronicles. For that, we need to extend both, the definition of the chronicles as its recognition mechanism, so that they are fully distributed. This paper presents these extensions, and then describes the fault diagnosis system based on distributed chronicles proposed, and an example of its use in SOA applications.