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Service-Oriented Computing reveals features which are not commonly found in conventional computing paradigms; loose coupling, dynamism, blackbox, evolvability, and heterogeneity. These features make diagnosing and healing faults found in deployed services and service-related elements more challenging than managing conventional systems. Hence, service-oriented systems management often results in problems...
Service-oriented architecture (SOA) is a cost effective approach to building enterprise applications. SOA reveals non-conventional characteristics of heterogeneity, grid-like distribution, evolvability, and limited visibility. Hence, services management presents non-conventional challenges. Especially, fault diagnosis at runtime is challenging due to the SOA features. Model-based reasoning (MBR) is...
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