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WAN 2014 : 1st KuVS Workshop on Anticipatory Networks

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Link: https://www.cs.uni-paderborn.de/index.php?id=38322
 
When Sep 29, 2014 - Sep 30, 2014
Where Stuttgart, Germany
Submission Deadline Jul 1, 2014
Notification Due Aug 12, 2014
Final Version Due Sep 1, 2014
Categories    communication networks   optimization   machine learning   context awareness
 

Call For Papers

============================
CALL FOR PRESENTATIONS
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=== 1st KuVS Workshop on Anticipatory Networks ===

* September 29-30, 2014, Stuttgart, Germany
* Submission: July 1, 2014
* Further information: (https://www.cs.uni-paderborn.de/index.php?id=38322)


=== Overview ===

Anticipation is a promising new approach for designing telecommunication net-
works. By predicting and adapting to upcoming events an anticipatory network can
highly improve operation quality and efficiency. Driven by the increasing cap-
abilities of “smart” handsets as well as by the recent progress in machine
learning and context-aware optimization, anticipatory adaptation receives more
and more attention by researchers in industry and academia. While early results
show the high potential of anticipation for specific scenarios, many theoretical
and practical questions remain.

This workshop aims to consolidate the view on Anticipatory Networks, to define
promising research directions, and to connect researchers in the field. While
current research has considered anticipation mostly in a wireless context, we
encourage discussions about applications in other systems as well, e.g., data
centers and backhauls. Researchers, scientists and engineers from industry and
academia are cordially invited to present their work.


=== Topics ===

Suggested topics include but are not limited to:

* Models, bounds, and techniques for anticipatory adaptation and optimization
* Algorithms and protocols for anticipatory adaptation and optimization
* System architectures for anticipatory networks, both conceptual and legacy
integration
* Methods for anticipatory adaptation and optimization, e.g., from machine
learning, data mining, optimization, and signal processing
* Methods and approaches for predicting channel characteristics, user mobility,
user behavior, application demands, and traffic requirements
* New uses of Smartphone sensors and network statistics for anticipation and
adaptation
* Use cases, practical examples, and experimental results for anticipatory net-
working


=== Submission Guideline ===

Researchers are invited to submit an extended abstract with a maximum of 3 pages
in IEEE Conference Style, US Letter format. The abstract should be written in
English and submitted as a PDF file to (kuvs-anticipatory@uni-paderborn.de).
The extended abstracts will be made available as a collection on arXiv.org.

* Submission: July 1, 2014
* Notification of acceptance: August 12, 2014
* Final Abstract submission: September 1, 2014


=== Organization ===

The event will take place from September 29 to 30, 2014 at the Alcatel-Lucent
Campus in Stuttgart, Germany. For further information on the workshop’s
organization please refer to

https://www.cs.uni-paderborn.de/index.php?id=38322

or just contact us at kuvs-anticipatory@uni-paderborn.de.


=== Committee ===

Stefan Valentin, Bell Labs, Alcatel-Lucent
Holger Karl, University of Paderborn
Slawomir Stanczak, Fraunhofer HHI, TU Berlin
Magnus Proebster, University of Stuttgart
Hermann Lichte, net mobile AG
Matthias Lott, DOCOMO Euro-Labs
Nico Bayer, Deutsche Telekom AG

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