Matti Eteläperä

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This work presents a Cognitive Management framework for empowering the Internet of Things (IoT). This framework has the ability to dynamically adapt its behaviour, through self-management functionality, taking into account information and knowledge (obtained through machine learning) on the situation (e.g., internal status and status of environment), as(More)
Performance evaluation in an early phase of system design is a crucial part of system optimisation and validation. We present a method for combining UML–based application workload models with hardware models written using the SystemC language, and introduce a layer of platform service models between the application and hardware architecture models. The(More)
Support of legacy devices and services is crucial for the adoption of new smart space technologies. We present two technologies which enable the formation of local ad-hoc smart spaces with commercial off-the-shelf (COTS) devices. First of these technologies is NoTA, which is a service oriented architecture enabling networks of devices with different(More)