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

Haydarlou, A.R.; Overeinder, B.J.; Oey, Michel; Brazier, Frances M. T.

doi:10.1007/11839569_7

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…To facilitate the specification of knowledge in the behavioural model, tasks have been categorised into tasks such as: state manipulation tasks, invocation tasks. For more information see [11].…”

Section: Behavioural Modelmentioning

confidence: 98%

“…In the application model presented in this paper, the domain knowledge is obtained from three domain experts, each with his/her own specific view to the system: system administrators, functional analysts, and software developers [11,14]. To facilitate knowledge acquisition, the views of these domain experts are incorporated in both structural and behavioural components of the application model.…”

Section: Application Modelmentioning

confidence: 99%

See 1 more Smart Citation

Use Case Driven Approach to Self-Monitoring in Autonomic Systems

Haydarlou

Oey

Overeinder

et al. 2007

Third International Conference on Autonomic and Autonomous Systems (ICAS'07)

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Self-monitoring of autonomic distributed systems requires knowledge of the states and events of many different parts of a system. One of the main challenges is to determine which information is most crucial for analysis of a system's behaviour, and when. This paper proposes a modelbased approach to self-monitoring for which structural and behavioural models of a system are described at different levels: application, subsystem, component and class level. In this approach, a system's behaviour is monitored in the context of a hierarchy of use-cases related to these levels. The structural and behavioural models are used to automatically instrument an existing distributed system. The proposed architecture of a self-monitoring engine is described as is the implementation. The models have been specified in the Ontology Web Language (OWL) and the self-monitoring (as a part of our self-management framework) has been implemented in Java. The scenario used to illustrate the approach is that of authentication for a simplified version of a distributed portal application.

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Section: Behavioural Modelmentioning

confidence: 98%

Section: Application Modelmentioning

confidence: 99%

Use Case Driven Approach to Self-Monitoring in Autonomic Systems

Haydarlou

Oey

Overeinder

et al. 2007

Third International Conference on Autonomic and Autonomous Systems (ICAS'07)

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“…The framework is based on the concept of system usecases which describe the response of a system to a given request [4]. To monitor a system use-case realisation and to repair abnormal behaviour, the framework needs knowledge regarding the internal structure and dynamic behaviour of the running application.…”

Section: Figure 1 Self-management Architecturementioning

confidence: 99%

“…The next sections explore the use of these languages to express the knowledge needed in a self-management framework. Figure 1 presents a high-level architecture of a selfmanagement framework [4]. On the highest level two modules are distinguished: a managed-system and an autonomic-manager.…”

Section: Choice For Semantic Web Ontologymentioning

confidence: 99%

Using Semantic Web Technology for Self-Management of Distributed Object-Oriented Systems

Haydarlou

Oey

Overeinder

et al. 2006

2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06)

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Automated support for management of complex distributed object-oriented systems is a challenge: selfmanagement the goal. A self-management system needs to reason about the behaviour of the distributed entities in a system, and act when necessary. The knowledge needed is multi-leveled: different levels of concepts and rules need to be represented. This paper explores the requirements that hold for representing this knowledge in self-managed distributed object-oriented systems, and explores the potential of Semantic Web technology in this context. A model for self-management knowledge and a simplified version of a real-life use case are used to illustrate the potential.

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“…Figure 1 presents a high-level architecture of a self-management framework (Haydarlou et al, 2006a;Haydarlou et al, 2006b) for distributed objectoriented systems. In line with the autonomic computing architectural blueprint two modules are distinguished: a managed-system and an autonomicmanager.…”

Section: Introductionmentioning

confidence: 99%

Structured Use-Cases as a Basis for Self-Management of Distributed Systems

Haydarlou¹,

Oey²,

Warnier

et al. 2010

Proceedings of the 5th International Conference on Software and Data Technologies

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Automated support for management of complex distributed object-oriented systems is a challenge: selfmanagement of such systems the goal. This paper presents a use-case based approach to self-management of such systems, focusing on autonomic monitoring and diagnosis. The existing notion of use-case has been extended to different levels of system design: explicitly specifying system behavior at different levels, and the relations between these levels, coupling structural models to these descriptions when and where appropriate. The proposed model is illustrated with a small example.

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

Cited by 6 publications

References 5 publications

Use Case Driven Approach to Self-Monitoring in Autonomic Systems

Use Case Driven Approach to Self-Monitoring in Autonomic Systems

Using Semantic Web Technology for Self-Management of Distributed Object-Oriented Systems

Structured Use-Cases as a Basis for Self-Management of Distributed Systems

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