Multi-level Model-Based Self-diagnosis of Distributed Object-Oriented Systems

Self-healing relies on correct diagnosis of system malfunctioning. This paper presents a use-case based approach to self-diagnosis. Both a static and a dynamic model of a managed-system are distinguished with explicit functional, implementational, and operational knowledge of specific use-cases. Thi...

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Bibliographic Details
Published inAutonomic and Trusted Computing pp. 67 - 77
Main Authors Haydarlou, A. R., Overeinder, B. J., Oey, M. A., Brazier, F. M. T.
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2006
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Autonomic Manager
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Constraint Rule
Data Item
Exact sciences and technology
External Data Source
Memory and file management (including protection and security)
Memory organisation. Data processing
Software
SWRL Rule
Measurement sensor
Case based reasoning
Distributed system
Distributed computing
Modeling
Fault tolerance
Static model
Behavioral analysis
Object oriented
Anomaly
Legacy software
Diagnosis
Dynamic model
Multilevel system
Computer security
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Summary:Self-healing relies on correct diagnosis of system malfunctioning. This paper presents a use-case based approach to self-diagnosis. Both a static and a dynamic model of a managed-system are distinguished with explicit functional, implementational, and operational knowledge of specific use-cases. This knowledge is used to define sensors to detect and localise anomalies at the same three levels, providing the input needed to perform informed diagnosis. The models presented can be used to automatically instrument existing distributed legacy systems.
ISBN:9783540386193
354038619X
ISSN:0302-9743
1611-3349
DOI:10.1007/11839569_7