Adopting multiple processing units to enhance the computing capability or reduce the power consumption has been widely accepted for designing modern computing systems. Such confi...
Jian-Jia Chen, Andreas Schranzhofer, Lothar Thiele
In this paper we describe our approach for developing a QoS-aware, dependable execution environment for large-scale distributed stream processing applications. Distributed stream ...
Vana Kalogeraki, Dimitrios Gunopulos, Ravi S. Sand...
Abstract— Distributed stream processing systems offer a highly scalable and dynamically configurable platform for time-critical applications ranging from real-time, exploratory ...
Lisa Amini, Navendu Jain, Anshul Sehgal, Jeremy Si...
Modern embedded systems for image processing involve increasingly complex levels of functionality under real-time and resourcerelated constraints. As this complexity increases, th...
In collaborative ontology engineering, contexts are key to manage the complexity of different dependency types between ontological artefacts. Instead of being frustrated by out-of...