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PERCOM
2007
ACM
16 years 13 days ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
Marco Mamei, Radhika Nagpal
118
Voted
SAPIR
2004
Springer
15 years 6 months ago
Probabilistic Routing in Intermittently Connected Networks
We consider the problem of routing in intermittently connected networks. In such networks there is no guarantee that a fully connected path between source and destination exist at...
Anders Lindgren, Avri Doria, Olov Schelén
162
Voted
ISN
2000
Springer
162views Communications» more  ISN 2000»
15 years 4 months ago
An Approach to Network Control and Resource Management Based on Intelligent Agents
Network Control is currently carried out mainly by means of signalling protocols. Although these protocols are robust and facilitate standardisation, they present several drawback...
Evangelos Vayias, John Soldatos, Nikolas Mitrou
123
Voted
CONCUR
2012
Springer
13 years 3 months ago
Avoiding Shared Clocks in Networks of Timed Automata
Networks of timed automata (NTA) are widely used to model distributed real-time systems. Quite often in the literature, the automata are allowed to share clocks. This is a problem ...
Sandie Balaguer, Thomas Chatain
DATE
2003
IEEE
108views Hardware» more  DATE 2003»
15 years 6 months ago
Comparing Analytical Modeling with Simulation for Network Processors: A Case Study
Programming network processors remains an art due to the variety of different network processor architectures and due to little support to reason and explore implementations on su...
Matthias Gries, Chidamber Kulkarni, Christian Saue...