A Framework for Autonomic Service-based Resource Management Using a Semantic Approach
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Beschreibung
In this work, the author presents an architecture and a framework for autonomic service-based resource management using a semantic approach. The objective is to lower complexity using a simple to use and practical solution based on two principles: simplification and automation. The proposed solution is composed of two parts: the Managed Resource Framework (MRF) and the Semantic Resource Management Infrastructure (SRMI). The MRF is a plug-in based framework to model classes and hierarchies of IT physical and logical resources and to generate on demand service representations for rapid composition and deployment of resources. The SRMI is composed of structural elements to support the managed resources and relies on domain-specific Inference Engines that manage the resources in an autonomic manner through the use of management models that describe the behavioral logic.
In this work, the author presents an architecture and a framework for autonomic service-based resource management using a semantic approach. The objective is to lower complexity using a simple to use and practical solution based on two principles: simplification and automation. The proposed solution is composed of two parts: the Managed Resource Framework (MRF) and the Semantic Resource Management Infrastructure (SRMI). The MRF is a plug-in based framework to model classes and hierarchies of IT physical and logical resources and to generate on demand service representations for rapid composition and deployment of resources. The SRMI is composed of structural elements to support the managed resources and relies on domain-specific Inference Engines that manage the resources in an autonomic manner through the use of management models that describe the behavioral logic.
Autor*in
Houssam Haitof