Abstract. The resolution of combinatorial optimization problems can greatly benefit from the parallel and distributed processing which is characteristic of neural network paradigm...
Most highly dynamic infrastructure-less networks have in common that the assumption of connectivity does not necessarily hold at a given instant. Still, communication routes can be...
Arnaud Casteigts, Paola Flocchini, Bernard Mans, N...
Distributed computing systems are continuously increasing in complexity and cost of managing, and system management tasks require significantly higher levels of autonomic managemen...
Networking Named Content (NNC) was recently proposed as a new networking paradigm to realise Content Centric Networks (CCNs). The new paradigm changes much about the current Intern...
Ioannis Psaras, Richard G. Clegg, Raul Landa, Wei ...
Abstract— An important issue for supporting multimedia applications in multiple heterogeneous networks, a typical pervasive computing environment, is how to optimize the rate all...
Liang Zhou, Benoit Geller, Anne Wei, Baoyu Zheng, ...