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CABERNET-EVENTS  July 2007

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Subject:

[CFP ADPUC 2007] 2nd Int. Workshop on Advanced Data Processing in Ubiquitous Computing (at ACM/IFIP/USENIX Middleware)

From:

Eiko Yoneki <[log in to unmask]>

Reply-To:

Eiko Yoneki <[log in to unmask]>

Date:

Tue, 24 Jul 2007 20:39:11 +0100

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text/plain

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[Our apologies for possible duplicates of this message]
*********************************************************************
2nd International Workshop on Advanced Data Processing in Ubiquitous
Computing (ADPUC'07) 
http://www.cl.cam.ac.uk/~ey204/ADPUC2007/ADPUC_NEWS/news.html 


****** Paper Submission Deadline August 26, 2007 *****

In conjunction with ACM/IFIP/USENIX 8th International Middleware Conference
2007
http://middleware2007.ics.uci.edu/

November 26th - 30th, 2007, Newport Beach, California, USA
*************************************************************
WORKSHOP THEME

Research in ubiquitous computing environments is now turning to novel
concepts to address the challenge of providing data and query services.
Middleware techniques can make key contributions to these needs. This
workshop will address issues of data management in ubiquitous computing
environment with a special focus on data processing. It will analyse
paradigms for query and data processing that are rooted in the middleware
community and may be beneficial in the future of ubiquitous computing. 

For those from the middleware research community, the ubiquitous or mobile
computing area raises challenges of system and algorithm design: mobile
devices or devices in peer-to-peer networks have different properties to
static networks. The environment is seen as being more fluid, with increased
rate of change of environment, and with components that can vary widely in
computing capability, availability and interaction type. Streaming data or
event-based data interchange in peer-to-peer networks are only two examples.


Current research often focuses on P2P networks that are extending to
ubiquitous environments. Sensor data are captured beyond edge nodes in wide
area networks. Initial research in wireless sensor networks (WSN) often
focused on WSN itself. However, in the near future those data will be
integrated in Internet environments. At the same time, queries originated in
the Internet will be propagated into WSN environments. Data will be stored
and shared among different applications over the Internet. Middleware
systems will bridge the gap between these two different networks systems. 

Aggregating data/events in ubiquitous computing requires management of
stateful events. In addition, time in distributed and unreliable
environments as well as asynchrony and unstable communication create further
challenges. The workshop aims at addressing a global view of data/event
correlation, filtering and aggregation over whole distributed systems. One
of the goals of the workshop is the definition of key terms of data
processing (e.g., aggregation, filtering, correlation, indexing, query,
subscription, composition) in the light of different contexts and
backgrounds. 

In addition, there is no single typical WSN application, and dependency on
applications is higher than in traditional distributed applications. The
application/middleware layer must provide fundamental services for efficient
extraction, manipulation, transport, and representation of information
derived from sensor data. Data will be shared by different applications over
Internet. This requires the database community to revisit data models, query
languages, storage support, query optimization, as well as, data and
application services integration. It also requires further interaction with
information retrieval, programming languages, artificial intelligence,
distributed computing, and workflows. 

GOALS

The goal of this workshop is to share and discuss original and innovative
ideas. We intend this workshop to act as an initial forum where people from
different areas can find a forum to discuss issues of data management and
processing in these new and emerging environments. Therefore, we invite
authors from diverse communities that are interested in data processing in
ubiquitous environments, such as middleware, distributed systems, ad-hoc and
peer-to-peer systems, delay tolerant networks, streaming sensor networks,
wireless sensor networks, databases, mobile computing. 

Key goals of the workshop are: 

	- Initiate communication between the different research communities 
	- Develop understanding of the different foci of the communities 
	- Clarify the differing constraints and required functionality in
representative applications 
	- Identify mutually agreed research questions within the area 
	- Explore methods of evaluation and comparison 
	- Cross-fertilise the ideas and innovations of the largely disjoint
groups 

Papers do not have to be based on complete and comprehensive works. In fact,
we welcome position papers, requirements for real-world applications, as
well as papers based on preliminary results, provided that they are
forward-looking and that they remain well-argued and justified in terms of
existing work. 

TOPICS OF INTEREST 

	* Data aggregation/correlation (e.g., for sensor data in ubiquitous
environment) 
	* Reactive systems 
	* Event filtering/correlation over distributed systems 
	* Context extracting (e.g. meta-data extraction and annotation) 
	* Search/Query/Indexing mechanisms over P2P based systems 
	* Process models for ubiquitous/P2P environments (e.g. event-based,
communication, selection) 
	* Multidimensional data/query model (e.g. Spatial and temporal
attributes) 
	* Semantic data model 
	* Semantic interoperability, and integration 
	* Filtering/composition algorithms also filtering/correlation engine

	* Location over distributed systems 
	* Representation of database query in complex format for active
database 
	* Data mining and knowledge discovery in distributed systems 
	* High-level language for event query and query task propagation 
	* Distributed stream processing and dissemination 
	* Stream-based and continuous query processing 
	* Query planning and optimization in distributed systems 

IMPORTANT DATES 
 
  Paper Submission 	August 26, 2007	   
  Acceptance Notification	September 15, 2007	   
  Camera Ready Due	October 1, 2007	   
  Workshop	November 26 or 30, 2007	 

SUBMISSION GUIDELINES 

Formatting: Submissions should not exceed 6 (six) pages in ACM proceedings
style, including all text, references, appendices, and figures. The template
can be found at
http://www.acm.org/sigs/pubs/proceed/template.html#aL1 (Option 1). 

Procedure: Please submit your paper by e-mail to
mailto:[log in to unmask] no later than the 15th August 2007. Your
submission e-mail must have "ADPUC submission" as subject and contain the
PDF file as a MIME attachment. The sender of the submission will be the
contact person, unless otherwise requested in the submission. At least one
of the authors of accepted papers is expected to participate in the
workshop. 

Publication: A proceedings including CD for the workshops will be produced.
The papers will also be submitted to the ACM Digital Library. 

ORGANISATION COMMITTEE 

Eiko Yoneki
Computer Laboratory
University of Cambridge
United Kingdom
Email: [log in to unmask]

Annika Hinze
Department of Computer Science
University of Waikato
New Zealand
Email: [log in to unmask]


Program Committee Members

- Sharma Chakravarthy, University of Texas Arlington, USA 
- Paolo Casta, Vrije Universiteit, Netherland 
- Patrick Eugster, Purdue University, USA 
- Ludger Fiege, Siemens AG, Germany 
- Christos Gkantsidis, Microsoft Research, UK 
- Birgitta König-Ries, Friedrich-Schiller-Universität, Germany 
- Jonathan Munson, IBM T.J. Watson Research Center, USA 
- Wendy Osborn, University of Lethbridge, Canada
- Adnrea Passarella, IIT-CNR, Italy
- Peter Pietzuch, Imperial College London, UK 
- Kay Römer, ETH Zurich, Switzerland 
- Andrea Schweer, University of Waikato, New Zealand 
- Sasu Tarkoma, University of Helsinki, Finland 
- Nesime Tatbul, ETH Zurich, Switzerland 
- Niki Trigoni, Oxford University, UK 
- Can Türker, ETH Zurich, Switzerland 
- Einar Vollset, Cornell University, USA 
- Maja Vukovic, IBM T.J. Watson Research Center, USA 
- Ian Wakeman, University of Sussex, UK 
 

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