Videos

There are two major ways to deal with failures in distributed computing: fault-tolerance and accountability. Fault-tolerance intends to anticipate failures by investing into replication and [...]

When you develop a Python project, it is highly recommended that you design it as a Python package, which gives you access to a variety [...]

Approximation by Poisson distributions or processes is of great interest in many applications including networks, queueing theory and even neuroscience, as the Poisson distribution arises [...]

Thanks to its dynamic nature, it is extremely easy to prototype code with Python. However, this also means that it is difficult to catch errors [...]

In the past decades, multiple antenna systems were widely employed in modern wireless network to improve the communication performance. For example, iPhone XS is equipped [...]

Dear all, The Internet Measurement reading group will meet on Wednesday 1st. In this session, Matthieu Gouel (Sorbonne Université, LIP6) will talk about MPLS in Internet topologies. [...]

While Python offers a useful command-line interface, it is often more productive to rely on an IDE (Integrated Development Environment) for larger projects. In this [...]

We present probabilistic dynamic I/O automata, a framework to model dynamic probabilistic systems. Our work extends dynamic I/O Automata formalism from Attie & Lynch to [...]

"Chaos Engineering is the discipline of experimenting on a distributed system in order to build confidence in the system's capability to withstand turbulent conditions in [...]

Dear all, The Internet Measurement reading group will meet on Wednesday 10th. In this session, Maxime Mouchet (Sorbonne Université, LIP6) will present HLOC: Hints-based geolocation leveraging [...]