Guillaume Rosinosky is a post-doc researcher who will present StreamBed: capacity planning for stream processing Distributed Stream Processing (DSP) supports long-lived processing jobs over continuous data. DSP engines scale out to support parallel processing of incoming data, until they reach the necessary volume of resources.

By Prof. Keiichi Yasumoto &  Prof. Yugo Nakamura 10:30-11:30 Prof. Keiichi Yasumoto will present the activites of his research group. Prof. Yasumoto is the head of the research group for "Ubiquitous Computing Systems" at the Nara Institute of Science and Technology in Japan. The laboratory aims to make our society smarter through cyber physical system technologies.

Céline Deknop will present her doctoral thesis on advanced code differencing techniques in the context of automated large-scale refactoring for legacy software systems. The research focuses on enhancing comprehension and trust in these automated processes. The research involves collaborations with Raincode Labs, a company specializing in legacy software and automated refactoring.

During this seminar, Nicolas Cardozo (Uniandes) will talk about Generating adaptations from system executions using reinforcement learning options.   Sandwiches will be provided.

The proliferation of the Internet of Things (IoT) has guided a large amount of produced data, new needs for real-time analytics, and the rapid increase of distributed heterogeneous computing resources. In emerging scenarios, such as Smart Cities and Industry 4.0, files, videos, and pictures are emitted by sensors on the edges of the Internet.

Advanced modeling and search techniques for routing and scheduling problems by Charles THOMAS Pour l’obtention du grade académique de Doctorat en sciences de l’ingénieur This thesis presents the application of several constraint programming techniques to combinatorial problems. In particular, hybrid scheduling and routing problems such as Dial-A-Ride Problems (DARP) are explored.

Speculation in Partially-Replicated Transactional Data Stores by Zhongmiao LI    Pour l’obtention du grade de Docteur en sciences de l’ingénieur et technologie Defense organized by teleconference, feel free to join by this link  Distributed data storage systems are the key building blocks of today's large-scale online services.

Pour l’obtention du grade de Docteur en sciences de l’ingénieur et technologie Since its inception in the early 70’s, the Internet has expanded to interconnect billions of computers. The last decade has seen the rise of multi-connected devices, such as smartphones that can attach to both Wi-Fi and cellular networks.

Models and Algorithms for network optimisation with Segment Routing by François AUBRY Pour l’obtention du grade de Docteur en sciences de l’ingénieur et technologie Optimizing the way traffic is routed over networks has been of interest since we first started using computer networks to communicate and exchange information. Network technologies are constantly evolving and so do the underlying pr

A short introduction to deep reinforcement learning by Vincent  François-Lavet,  Postdoc at UCLouvain ICTEAM In this talk, I will start by describing the main settings where machine learning is of interest. I will then focus on the reinforcement learning (RL) setting that deals with sequential decision-making tasks.