: State-of-the-art interoperability between heterogeneous systems on a technical level builds on services oriented architectures (SOA) for a given problem space. Semantics can be i...
Scheduling tasks on large-scale computational grids is difficult due to the heterogeneous computational capabilities of the resources, node unavailability and unreliable network ...
The processing power and memory capacity of independent and heterogeneous parallel machines can be combined to form a single parallel system that is more powerful than any of its ...
Daniel Becker, Felix Wolf, Wolfgang Frings, Markus...
Distributed shared memory (DSM) is a paradigm for programming distributed systems, which provides an alternative to the message passing model. DSM offers the agents of the system ...
Multimodal applications require the acquisition and processing of massive amounts of information from multiple sensors. Because this process is beyond the capabilities of a single...
Antoine Fillinger, Lukas Diduch, Imad Hamchi, St&e...