A Self-Management Framework for Efficient Resource Discovery in Pervasive Environments
When considering resource discovery in pervasive environments, issues such as the diversity of application requirements, different classes of Quality of Service (QoS), device and network heterogeneity should be addressed. In these cases, static solutions prove to be ineffective since the desired characteristics of resource discovery mechanisms are constantly changing. To alleviate such problems, a promising direction involves self-management approaches that allow for adaptation of the monitoring mechanisms and their automatic reconfiguration. Accordingly, the authors present their ongoing work on a context-aware, policy-based framework to support the autonomic management of pervasive environments' monitoring mechanisms that rely on dynamic, bio-inspired P2P overlays.