[fg-arc] Deadline extension: First International Workshop on Big Data Processing - Reloaded (BDPR'16)

[Holger Eichelberger]

[please apologize cross-postings]



First International Workshop on

Big Data Processing - Reloaded, March 15th, 2016 Bordeaux, France

(http://bdpr2016.l3s.uni-hannover.de/)

co-located with EDBT/ICDT 2016


Important dates:

Submission Deadline (extended): December 21, 2015


Big data processing has gained much attention in the recent years
raising the need for stream processing solutions. At the same time,
there has been substantial research and development of methods and
technologies that have high potential for further progress in stream
processing. This includes (i) flexible stream processing infrastructures
that go beyond MapReduce, such as Apache Storm and Apache Spark, (ii)
generic and application-specific stream processing algorithms, (iii)
reconfigurable hardware more accessible to programmers as well as
initial experience of using such components as coprocessors when
processing streams, (iv) scalable algorithms for social web analysis or
new approaches to data visualization, etc.

It is the goal of this workshop to discuss latest developments in this
area and to relate them to each other. To this end, we want to provide a
forum to discuss challenges, advances, and directions in this area while
also providing the right environment to network with people working on
related topics and fostering future collaborations. In addition, the
workshop is especially interested in exploring how those new
developments can be exploited and combined, such that effective,
scalable and adaptive stream processing systems can be build efficiently
for applications in the financial and other domains.


Topics of Interest


The workshop solicits regular research papers describing preliminary and
ongoing research results.
Topics of interest for submissions include, but are not limited to:

  * Technologies and methods for flexible data processing
    infrastructures
  * Adaptive data stream processing
  * Big data analytics in the financial and other domains
  * Offloading computationally intensive processing to co-processors,
    including FPGAs, GPUs, etc.
  * Novel development approaches for stream processing pipelines and
    applications
  * Composition of multiple data streams and multi evidence combination
  * Semantic-based Data Mining and Data Pre-processing
  * Stream-based Link and Graph Mining
  * Quality issues in stream processing pipelines, including result
    quality and functional validation


Submission should not exceed 7 pages and should be formatted according
to the ACM SIG Proceedings double-column template.

All workshop papers will be published online at CEUR.
Please use the following link for the Submission of your paper (EasyChair):
https://easychair.org/conferences/?conf=bdpr2016



Programme Chairs

  * Minos Garofalakis, Technical University of Crete, Greece
  * Graham Cormode, University of Warwick, UK


Organizers

  * Claudia Niederée, L3S Research Center, Germany
  * Holger Eichelberger, University of Hildesheim, Germany
  * Ekaterini Ioannou, Technical University of Crete, Greece


Programme Committee

  * Philippe Cudre-Mauroux, University of Freibourg, Switzerland
  * Luciano Baresi, Politechnico di Milano, Italy
  * Kjetil Norvag, Norwegian University of Science and Technology,
    Norway
  * Heiko Schuldt, University of Basel, Switzerland
  * Yannis Velegrakis, University of Trento, Italy
  * Ekaterini Ioannou, Technical University of Crete, Greece
  * Apostolos Dollas, Technical University of Crete, Greece
  * Odysseas Papapetrou, Technical University of Crete, Greece
  * Klaus Schmid, University of Hildesheim, Germany
  * Sergej Zerr, L3S Research Center, Germany