[hpc-announce] DEBS 2019, Call for Participation

[Stein Kristiansen]

DEBS 2019: 13th ACM International Conference on Distributed and Event-Based Systems
June 24th-28th 2019, TU Darmstadt, Darmstadt, Germany,
Co-sponsored by ACM SIGMOD and ACM SIGSOFT

http://debs2019.org

Early Registration deadline: May 31, 2019.


DEBS 2019 Conference Schedule

June 24, 2019    DEBS Summerschool on Machine Learning for Real-time Analytics and Doctoral Symposium
June 25, 2019    4 tutorials (all day, 9 to 5pm)
June 26-28, 2019 Conference (ALL day, 9 to 5pm), research papers, industry track papers, grand challenge papers


Keynote Speakers
================

How Hardware Evolution is Driving Software Systems
Gustavo Alonso, ETH Zurich, Switzerland

Conceptual Modeling of Event-Based Systems
Wolfgang Reisig, Humboldt-Universität zu Berlin, Germany

Open Problems in Stream Processing: A Call To Action
Tyler Akidau, Google AI Research, USA

Unifying Messaging, Queuing, Streaming & Light Weight Compute for Online Event Processing
Karthik Ramasamy, Streamlio Inc., USA

The Global AI Supercomputer
Donald Kossmann, Microsoft Research, Redmond, USA


Industry Talks
==============

Serverless Composition of Serverless Functions
Olivier Tardieu IBM Research, USA


Tutorials
=========

Correctness and consistency of event-based systems
Opher Etzion

An Outlook to Declarative Languages for Big Steaming Data
Riccardo Tommasini, Sherif Sakr, Marco Balduini, Emanuele Della Valle

A Modern Approach to Situation Awareness: The Ultimate Challenge for Event Processing
Christoph Brandt, Dieter Gawlick

Developing Distributed Systems with Multitier Programming
Pascal Weisenburger, Guido Salvaneschi


Summer School Speaker
=====================

Towards Interactive Data Analytics
Carsten Binnig, Technical University of Darmstadt, Germany

Continual Learning over Network Streaming Data: What to Remember and What to Forget?
Pedro Casas, AIT Austrian Institute of Technology GmbH, Austria

Time Series Modeling with Recurrent Neural Networks
Maja Rudolph, Bosch Center for Artificial Intelligence (BCAI)

Scalable Data Processing and Machine Learning Using Modern Container Technologies
Lars Dannecker, SAP, Walldorf


Tentantive Research Program
===========================

Static termination analysis for event-driven distributed algorithms
Felix Wiemuth (Technische Universität Ilmenau), Peter Amthor (Technische Universität Ilmenau) and Winfried Kühnhauser (Technische Universität Ilmenau)

LEAD: A Formal Specification for Event Processing
Anas Al Bassit (EURA NOVA), Sabri Skhiri (EURA NOVA) and Hejer Ammar (EURA NOVA)

C-Sprite: Efficient Hierarchical Reasoning for Rapid RDF Stream Processing
Pieter Bonte (Ghent University), Riccardo Tommasini (Politecnico di Milano), Filip De Turck (Ghent University), Femke Ongenae (Ghent University) and Emanuele Della Valle (Politecnico di Milano)

Cooperative Offloading in Vehicular Networks: A Game-Theoretic Approach
Tobias Meuser (TU Darmstadt), Daniel Bischoff (TU Darmstadt), Björn Richerzhagen (TU Darmstadt) and Ralf Steinmetz (TU Darmstadt)

Incremental Event Calculus for Run-Time Reasoning
Efthimis Tsilionis (NCSR Demokritos), Alexander Artikis (NCSR Demokritos) and Georgios Paliouras (NCSR Demokritos)

Haren: A Framework for Ad-Hoc Thread Scheduling Policies for Data Streaming Applications
Dimitris Palyvos-Giannas (Chalmers University of Technology), Vincenzo Gulisano (Chalmers University of Technology) and Marina Papatriantafilou (Chalmers University of Technology)
Reinforcement Learning Based Policies for Elastic Stream Processing on Heterogeneous Resources
Gabriele Russo Russo (University of Rome Tor Vergata), Valeria Cardellini (University of Rome Tor Vergata) and Francesco Lo Presti (University of Rome Tor Vergata)

Khronos: Middleware for Simplified Time Management in CPS
Stefanos Peros (Katholieke Universiteit Leuven), Stéphane Delbruel (Katholieke Universiteit Leuven), Sam Michiels (Katholieke Universiteit Leuven), Wouter Joosen (Katholieke Universiteit Leuven) and Danny Hughes (Katholieke Universiteit Leuven)

Multistage Adaptive Load Balancing for Big Data Publish Subscribe Systems
Hang Nguyen (University of California, Irvine), Nalini Venkatasubramanian (University of California, Irvine) and Md Yusuf Sarwar Uddin (University of California, Irvine)

STRETCH: Scalable and Elastic Deterministic Streaming Analysis with Virtual Shared-Nothing Parallelism
Hannaneh Najdataei (Chalmers University of Technology), Yiannis Nikolakopoulos (Chalmers University of Technology), Marina Papatriantafilou (Chalmers University of Technology), Philippas Tsigas (Chalmers University of Technology) and Vincenzo Gulisano (Chalmers University of Technology)

ASSED: A Platform for Identifying Physical Events through Adaptive Social Sensor Data Filtering
Abhijit Suprem (Georgia Institute of Technology) and Calton Pu (Georgia Institute of Technology)

Location-Centric View Selection in a Location-Based Feed-Following System
Wei-Tsung Lin (University of California, Santa Barbara), Fatih Bakir (University of California, Santa Barbara), Chandra Krintz (University of California, Santa Barbara), Rich Wolski (University of California, Santa Barbara) and Markus Mock (University of Applied Sciences, Landshut) Data repair for Distributed, Event-based IoT Applications
Kaiji Chen (Huawei) and Yongluan Zhou (University of Copenhagen)


Tentantive Industry Program
===========================

Continuous Distributed Monitoring in the Evolved Packet Core
Romaric Duvignau (Chalmers University of Technology), Marina Papatriantafilou (Chalmers University of Technology), Konstantinos Peratinos (Chalmers student and Ericsson intern), Eric Nordström (Ericsson) and Patrik Nyman (Ericsson)

Composite Event Recognition for Maritime Monitoring
Manolis Pitsikalis (Institute of Informatics & Telecommunications, NCSR Demokritos), Alexander Artikis (Department of Maritime Studies, University of Piraeus, Institute of Informatics & Telecommunications, NCSR Demokritos), Richard Dreo (Naval Academy Research Institute), Cyril Ray (Naval Academy Research Institute, Arts et Metiers ParisTech), Elena Camossi(Centre for Maritime Research and Experimentation (CMRE), NATO) and Anne-Laure Jousselme (Centre for Maritime Research and Experimentation (CMRE), NATO)

Uncertainty-Aware Event Analytics over Distributed Settings
Nikos Giatrakos (Athena Research & Innovation Center Technical University of Crete), Alexander Artikis (University of Piraeus NCSR Demokritos), Antonios Deligiannakis (Athena Research & Innovation Center Technical University of Crete) and Minos Garofalakis (Athena Research & Innovation Center Technical University of Crete)


Stein Kristiansen (steikr at ifi.uio.no)
Publicity co-chair, DEBS 2019