Enterprise Architecture Ontology for Services Computing

The current idea and contribution is to extend the basic architecture classification framework of ESARC by developing specialized metamodels and ontologies for a coherent set of reference architectures, to be able to support machine-based architecture diagnostics and optimizations in enterprise services computing.

Abstract

Enterprise services computing is the current trend for powerful large-scale information systems, which increasingly converge with cloud, computing environments. In this paper, we propose an original ontology-based Architecture Classification Framework for supporting cyclic architecture evaluations and optimizations of enterprise systems based on service-oriented architectures: ESARC - Enterprise Services Architecture Reference Cube. ESARC provides a standardized and normative classification framework for important architecture artifacts of service-oriented enterprise systems. Current approaches for assessing architecture quality and maturity of service-oriented enterprise software architectures are rarely validated and were intuitively developed, having sparse reference model, pattern, metamodel, or ontology foundation. Cyclic assessments of complex service-oriented systems and architectures should produce comparable evaluation results. Today architecture evaluation findings are hardly comparable. Our current idea and contribution is to extend the basic architecture classification framework of ESARC from our previous research by developing specialized metamodels and ontologies for a coherent set of reference architectures, to be able to support machine-based architecture diagnostics and optimizations in enterprise services computing.