Distributed software systems would benefit from autonomous fault management capabilities, but current practice is only based on handling exceptions without attempts at identifying causes for them. This paper is a step toward Web Services with autonomous diagnostic capabilities. It provides a novel context of application for model-based diagnosis, a contex which motivates a partially distributed approach. We consider complex services, built as a composition of simpler ones, and we associate a diagnoser with each component service, and a global diagnoser with the complex one.We characterize local diagnosers, based on abstract models of individual services, and we present the coordination protocol adopted by the global diagnoser.

Towards self-diagnosing Web Services

ARDISSONO, Liliana;CONSOLE, Luca;GOY, Annamaria;PETRONE, GIOVANNA;PICARDI, Claudia;SEGNAN, MARINO;THESEIDER DUPRE', Daniele
2005-01-01

Abstract

Distributed software systems would benefit from autonomous fault management capabilities, but current practice is only based on handling exceptions without attempts at identifying causes for them. This paper is a step toward Web Services with autonomous diagnostic capabilities. It provides a novel context of application for model-based diagnosis, a contex which motivates a partially distributed approach. We consider complex services, built as a composition of simpler ones, and we associate a diagnoser with each component service, and a global diagnoser with the complex one.We characterize local diagnosers, based on abstract models of individual services, and we present the coordination protocol adopted by the global diagnoser.
2005
IFIP/IEEE Int. Workshop on Self-Managed Systems & Services (SELFMAN 2005)
Nice, France
2005
Proc. of IFIP/IEEE Int. Workshop on Self-Managed Systems & Services (SELFMAN 2005)
IEEE Press
0
5
L. ARDISSONO; L. CONSOLE; A. GOY; G. PETRONE; C. PICARDI; M. SEGNAN; D. THESEIDER DUPRE'
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/106220
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