Activities

Quantum information processing is at the cusp of having significant impact on technology and society in the form of providing unbreakable security, ultra-high-precision distributed sensing [...]

The Hidden Markov Model is a generative model in which the distribution of the observations depends on the state of a Markov chain. These models [...]

Stochastic dynamic matching has numerous applications, ranging from supply-chain management to kidney exchange programs. In a matching problem, different classes arrive according to independent Poisson processes. Unmatched items [...]

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 cellular networks, there is a growing emphasis on the user experienced performance and ultra-reliable low-latency communications. This necessitates an analysis of the performance achieved by most [...]

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 [...]

The recent growth of the collaborative economy with peer-to-peer networks created the need for interfaces that put in relation different types of populations. Applications such [...]

Beautiful is better than ugly… In this session we will use modern coding-style to improve the readability, the performance and the correctness of Python code. [...]

One of the pillars of 5G is ultra-reliable low latency communications (URLLC), where the goal is to transmit typically small quantities of data with a [...]

We will present the paper: Shneer, S., & Stolyar, A. (2018). Stability conditions for a discrete-time decentralised medium access algorithm. The Annals of Applied Probability, 28(6), 3600-3628. [...]

The training of models over distributed data calls for distributed optimization schemes. This has motivated research on distributed convex optimization, leading to the identification of [...]

Mobility is a key challenge for beam management in 5G cellular networks due to the overhead incurred at beam switching and base station (BS) handover [...]

Pcap (Packet CAPture) is an API for network monitoring in network, essentially in LANs (Ethernet, WiFi). It is mainly use for passive monitoring (packet capture) [...]

Ethereum is one of the largest permissionless, open-source blockchains supporting Turing-complete scripting via smart contracts. Ethereum runs a Peer-to-Peer (P2P) network based on Kademlia  Distributed [...]

We will see how to install a complete Python environment: Python distribution (Anaconda), Python IDEs (Jupyter Notebook / JupyterLab / PyCharm). We will go through [...]

We will talk about: Stationarity The Poisson case. Associated random measures. Associated tessellations. The Crofton cell. Mass transport. Applications. Reference: Random Measures, Point Processes, and [...]

Today, a world without the Internet is unimaginable. By interconnecting billions of people worldwide and by offering an uncountable number of services, it is now [...]

This work is devoted to clustering geometric graphs. It appears that the standard spectral clustering is often not effective for geometric graphs. We present an [...]

Nowadays, telecommunication networks occupy a predominant place in our world. Indeed, they allow to share worldwide a huge amount of information. Networks are however complex [...]

We consider consensus protocols, for application to state machine replication, in the model of Castro-Liskov-Dolev-Lynch-Stockmeyer (partial synchrony, black box leader election, malicious corruptions). These protocols [...]

In the talk we will first present Telefonica Research, a team of researchers in Machine Learning/Deep Learning, Human Computer Interaction, Security/Privacy and Networks/Systems and highlight potential [...]

Systems such as masscan, yarrp and diamond-miner send in the order of a million packets/s in order to discover open ports and packet paths on [...]

Dear all, The Internet Measurement reading group will meet again on June 23rd. We will exceptionally meet at 13:45 instead of our regular time of 10:45. In [...]

We consider an edge-computing setting where machine learning-based algorithms are used for real-time classification of inputs acquired by devices, e.g., cameras.  Computational resources on the [...]

The proliferation of novel mobile applications and the associated AI services necessitates a fresh view on the architecture, algorithms and services at the network edge [...]

Machine Learning has been applied to a wide range of networking topics. Network management provides ample examples, often of the type of combinatorial optimizations. In [...]

In this presentation, we will present the main research activities of LINCS concerning the Internet of Things (IoT) in recent years: the management of IoT devices in [...]

Michel Davydov (PhD - Inria)              Poisson hypothesis for replica-mean-field networks Phenomena as diverse as neural computations, opinion dynamics or [...]

Petr Kuznetsov (Télécom-Paris) A sledgehammer to crack a nut: why blockchain is not (always) a good idea Abstract: In this short talk, we are going [...]

Computing is now “old enough” as a discipline that we can already detect broad trends in research directions.  We discuss these trends, with an emphasis [...]

The coming decades may see the large scale deployment of networked cyber–physical systems to address global needs in areas such as energy, water, health care, [...]

We consider radio access networks (RANs) offering streaming and elastic services. The RAN is modeled with tools from queuing theory, and we examine the cases [...]

Matthieu Gouel (PhD - Sorbonne)    Zeph & Iris Map the Internet - A resilient reinforcement learning approach to distributed IP route tracing We describe [...]

Quentin Lutz (Télécom-Paris) Scikit-network: Graph Analysis in Python Scikit-network is a Python package inspired by scikit-learn for the analysis of large graphs. Graphs are represented [...]

I will review recent contributions of members of LINCS to the field of cellular communication networks. This will cover topics ranging from the development of [...]

  LINCS organizes a rich two-day event with talks by its international Scientific Committee. Monday 21st (Paris time) 15.15 - 16.00 Invited talk by Professor [...]

Git is a very popular version control software. While being very flexible, it is quite easy to get lost in the command and use it [...]

In this presentation, we consider the problem of cross-chain transactions where parties that do not trust each other safely exchange digital assets across blockchains. Open [...]

Computational neuroscience features a variety of stochastic network models where both the input and the output of each neuron are point processes. In these models, [...]

Poisson point processes are one of the most common point processes studied in stochastic geometry. Adding a Voronoi tessellation to a Poisson point process leads [...]

Seminar by: * Razanne Abu-aisheh (PhD, Inria+NBLF) * Gabriele Castellano (Postdoc, Inria) * Camila Fernandez (PhD, Sorbonne+NBLF)

Dear all, The Internet Measurement reading group will meet again on June 2nd. In this session Emeline Maréchal (ULiège) will present « ISP Probing Reduction with Anaximander ». [...]

We consider a network of prosumers trading electricity under (i) a centralized market design, seen as the benchmark, formulated as an optimization problem, and (ii) [...]