Sensor web systems, cyber-physical systems, and the so-called Internet of Things are concepts that share a set of common characteristics. The nature of such systems is highly dynamic and very heterogeneous and issues such as interoperability, energy consumption, or resource management must be properly managed to ensure the operation of the applications within the required quality of service level. In this context, base technologies such as component based software engineering or Service Oriented Architecture can play a central role. Model driven development and middleware technologies also aid in the design, development, and operation of such systems. This paper presents a middleware solution that provides runtime support for the complete lifecycle management of a system consisting of several concurrent applications running over a set of distributed infrastructure nodes. The middleware builds up on top of a general purpose component model and is driven by a quality of service aware self-configuration algorithm that provides stateful reconfiguration capabilities in face of both internal (application triggered) and external (application unaware) reconfiguration events. The platform has been deployed over an automated warehouse supervision system that serves as a case study. heterogeneous communication protocols. The proposed middleware supervises the complete system, provides fault tolerance support for specific critical components, and aids in the registration and deployment of new system configurations. Several key challenges arise from such needs, namely, (1) the adoption of a suitable component framework, (2) the support for dynamic reconfiguration, and (3) the management of the system resources to provide the required QoS level to the
In REF the authors propose a framework that supports reconfiguration for both internal (application triggered, API calls) and external (application unaware, contextual) events.
QoS Aware Middleware Support for Dynamically Reconfigurable Component Based IoT Applications
International Journal of Distributed Sensor Networks
Computer Science