A Model Driven Approach for Automated Design of Context-Aware Autonomic Architectures

In this paper, we propose a model driven approach automating the design of autonomic systems. We handle non-functional properties with a focus on managing QoS degradation for cooperative M2M applications such as health care. Nowadays, service delivery becomes close to end-users such as M2M applications, which are being incorporated into the existing infrastructure. The Remote Health Care System and specialized sensors for in-home patient monitoring are at the current forefront of new technologies. While there are benefits from technologies such as reducing costs and medical errors, associated architecture and communication infrastructure have to ensure care continuity and quality of service (QoS). In this paper, we propose a model driven approach which enables the generation of autonomic architecture from high level functional and non-functional requirements. Our work instantiates the Model Driven Architecture (MDA) approach. We elaborate formal rules using graph grammars to transform a high level functional requirements to an autonomic architecture implemented under GMTE, a Graph Matching tool. We generate a Service Component Architecture (SCA) at the MDA low level (PSM) to implement the architecture in different technologies such as EJB, JMS, SOAP, etc. The Remote Health Care System shows the feasibility and the efficiency of our approach.