Integrating a Dual Method on a General Architecture to Self-Adaptive Monitoring Systems

The socio-economic, demographic and the advances in technology are driving the development of software systems alleviating deficiencies and providing satisfactory solutions. These systems are increasing their size, complexity and heterogeneity, and new approaches are required to support a dynamic self-adaptation at run time. This ability can be obtained from context information which should be monitored by motes and adequately interpreted depending on where it was taken from. On the basis of the foregoing, in this work a dual method on a general architecture to develop self-adaptive monitoring systems is proposed. This provides support to enrich the knowledge of a specific case from two different perspectives, based on the knowledge of the general domain and from the motes deployed by the other specific cases.