Workshop announcement: Large-Scale Distributed Streaming – Methods and Applications

For registration, please contact before the 13th of June 2016.

Research meets Industry Workshop

Friday, 17th  June 2016

Fraunhofer Munich, Hansastraße 27c, 80686 München, Room DO.07

In recent years the amount of data generating devices is growing rapidly: mobile phones, sensors in cars, smart home devices, or industrial machines. Many of today’s Big Data technologies were built for processing human-generated data and focus on batch processing of data stored on distributed file systems. As Big Data finds its way to other data sources, this design decision becomes limiting. An area with great future potential is machine-to-machine interaction (M2M), and the Internet of Things. This, however, requires processing of massive and predominantly transient data streams.

The goal of this workshop is to bring together researchers and practitioners in the field of large-scale distributed streaming in order to discuss current developments at the interface between research and industrial applications. It aims to foster an exchange between the research communities as well as to promote recent research results to applications in industry.


9:00 9:30 Michael Mock, Fraunhofer IAIS Welcome, Overview on the FERARI Project
9:30 10:00 Daniel Keren, Haifa University Lightweight Monitoring of Distributed Streams Using Convex Bounding Functions
10:00 10:30 Minos Garofalakis, TUC Efficient Analytics over Big, Dynamic, Distributed Data
10:30 11:00 Coffee Break
11:00 11:20 Moshe Gabel, Technion Using Stream Mining Techniques for Machine Health Monitoring
11:20 11:40 Moshe Gabel, Technion Monitoring Least Squares Models of Distributed Streams
11:40 12:10 Assaf Schuster Technion Lazy Detection of Complex Events over Event Streams
12:10 12:40 Antonios Deligiannakis, TUC Optimizing Massive-Scale Complex Event Processing
12:40 14:00 Lunch Break
14:00 14:30 Michael May, Siemens Industrial Data Analytics @ Siemens
14:30 15:00 Volker Tresp, Siemens Machine Learning for Context Sensitive Event Prediction
15:00 15:30 Coffee  Break
15:30 16:00 Filippo M. Tilaro, Manuel G. Berges, CERN Data Analytics for CERN Control System
16:00 16:30 Thomas Seidl, LMU Analyzing even faster data streams
16:30 17:00 Matthias Schubert, LMU Monitoring Relational Patterns in Volatile Data Sets

This public workshop is organized by the FERARI Project[1] in collaboration with Siemens and the LMU Munich. For registration, please contact before the 13th of June 2016.

The FERARI project ( stands for “Flexible Event Processing for Big Data Architectures”. It provides communication efficient in-situ solutions for executing complex tasks on large, distributed data streams, such as efficiently identifying sequences of events over distributed sources with complex relations, or learning and monitoring sophisticated abstract models of the data. The FERARI architecture for large-scale complex event processing (CEP) over massive, distributed data streams is available as open source.

[1] supported by the European Commission under Grant FP7 619491.

One thought on “Workshop announcement: Large-Scale Distributed Streaming – Methods and Applications

  1. Sehr geehrter Herr Mock,

    für den Fall dass es einfacher ist, gebe ich doch unten meine Daten zur Anmeldung für den Workshop an (haben Sie aber vermutlich schon selbst in Ihre Liste eingetragen).

    Freundliche Grüße, bis nächsten Freitag
    Thomas Seidl

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