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We argue that architecural ideas from DeeDS, a distributed real-time databases, can be used to create a whiteboard infrastructure usable in information fusion applications as well as in fault tolerant simulations. We discuss the need for fault-tolerant real-time simulation in information fusion, and how this can be supported by the whiteboard infrastructure. There are many reasons to perform real-time...
Sensor networks have limited resources and often support large-scale applications that need scalable propagation of sensor data to users. We propose a white-board style of communication in sensor networks using a distributed real-time database supporting Virtual Full Replication with Adaptive Segmentation. This allows mobile client nodes to access, transparently and efficiently, any sensor data at...
Real-time systems must respond to events in a timely fashion; in hard real-time systems the penalty for a missed deadline is high. It is therefore necessary to design hard real-time systems so that the timing behavior of the tasks can be predicted. Static real-time systems have prior knowledge of the worst-case arrival patterns and resource usage. Therefore, a schedule can be calculated off-line and...
Bayesian networks are often proposed as a method for high-level information fusion. However, a Bayesian network relies on strong assumptions about the underlying probabilities. In many cases it is not realistic to require such precise probability assessments. We show that there exists a significant set of problems where credal networks outperform Bayesian networks, thus enabling more dependable decision...
We propose virtual full replication by adaptive segmentation (ViFuR-A), and evaluate its ability to maintain scalability in a replicated real-time database. With full replication and eventual consistency, transaction timeliness becomes independent of network delays for all transactions. However, full replication does not scale well, since all updates must be replicated to all nodes, also when data...
This paper provides an overview of a collaborative research program in information fusion from databases, sensors and simulations. Information fusion entails the combination of data from multiple sources, to generate information that cannot be derived from the individual sources. This area is of strategic importance for industry and defense, as well as public administration areas such as health care,...
Temporal correctness is crucial to the dependability of real-time systems. Few methods exist to test for temporal correctness and most existing methods are ad-hoc. A problem with testing real-time applications is the dependency on the execution time and execution order of individual tasks. Thus, the response times for the tasks may be non-deterministic with respect to inputs. Conventional test coverage...
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