A distributed system is commonly modelled by a graph where nodes represent processors and there is an edge between two processors if and only if they can communicate directly. In ...
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
Recent techniques increase rapidly the amount of our knowledge on interactions between proteins. The interpretation of these new information depends on our ability to retrieve kno...
Software-defined networks (SDNs) are a new implementation architecture in which a controller machine manages a distributed collection of switches, by instructing them to install ...
Christopher Monsanto, Nate Foster, Rob Harrison, D...
We claim that network services can be transparently added to existing unmodified applications running inside virtual machine environments. Examples of these network services inclu...