Measurement-Based Timing Analysis for Reconfigurable Embedded Systems

Reconfigurable embedded computing opens many interesting possibilities for efficiency and reliability improvement. Still, it is necessary to verify whether the reconfigurable embedded computer system fulfills its timing requirements. Purely static worst-case execution time (WCET) analysis is not the best choice for verifying the timing behavior of reconfigurable embedded computer systems, as frequent re-modeling of different hardware configurations is not practicable. We describe measurement-based timing analysis as an approach that is better applicable for reconfigurable applications. Measurement-based timing analysis is a hybrid approach that combines static program analysis techniques, borrowed from static WCET analysis, with empirical learning of the application’s timing behavior by performing systematic measurements. But even the MBTA approach is challenged by the reconfigurable computing paradigm by the need for adequate coverage of the reconfigurable fabric

A business model framework for crowd-driven IoT ecosystems

This article describes how the era of hyper-connectivity is characterized by distributed, crowd-centric ecosystems that utilise cutting edge technology so as to harness the collective power, co-creation ability and intelligence of the crowd utilising under open participatory value creation models. The Internet of Things (IoT) has fueled the emergence of such ecosystems that leverage not only the power of physical things connected to the Internet but also the wisdom of the crowd to observe, measure, and make sense of phenomena via user-owned mobile and wearable devices. Existing business modelling literature has to date, placed no research attention on business models for such emerging ecosystems. This article aims to fill this gap by examining the dynamics of crowd-driven IoT ecosystems and introducing a business model framework for such environments, encompassing all relevant value-creating actors, activities and processes, facilitating this way a holistic ecosystem business model analysis.</p