2^nd VLDB Workshop on

Data Management in Grids

http://liris.cnrs.fr/~jpierson/DMG_VLDB06/

Co-located with VLDB’06

Seoul, Korea, 11 September 2006

Context

VLDB'06 (Very Large Data Bases, http://www.vldb.org/) is the 32th Conference in the series: It is one of the top conferences on the management of data bases in the world.

This workshop is the second workshop organized at VLDB on the topic of Data Management in Grids, after the success of the 1^st edition in 2005.

Topics of Interest

Since the mid nineties and the emergence of Grids, many research activities have been initiated in relation to data management in these dynamic, heterogeneous and cross-organizational environments. The database community can offer her unique expertise in the management of very large, widely distributed databases. Conversely, Grids offer a novel and very exciting field of research for database scientists both in terms of application domains and fundamental research.

This workshop is intended to bring together these two communities, and thus to offer a unique workspace for researchers to discuss and exchange ideas about the emerging challenges and opportunities offered by Data Grids.

Relevant topics for the workshop include all aspects related to the management of data in a Grid (non-exhaustive list) :

- Data Access

- Data Interoperability

- Semantic Grids

- Mediation / Negotiation

- Security: access control, policy, privacy

- Authenticity and integrity

- Data Placement: replication, migration

- Data Streams

- Metadata Management

- Indexing

- Query processing

- Caching

- Data Warehouses

- Unique identification of data entities

- Data Definition/Model Management

- Data De-identification

- Data scheduler and data-aware scheduling

- Information sharing

- Information dissemination

- Infrastructure independence for data management

- Federation of data management systems

- Applications dealing with large databases

Submission

Authors are invited to submit original, unpublished research papers that are not being considered for publication elsewhere.

Manuscripts should be submitted electronically as PDF or PS files via email to : Jean-Marc.Pierson@liris.cnrs.fr

Research papers should not exceed 12 pages in length.

They should be formatted using the camera-ready templates of Springer Lecture Notes in Computer Science (http://www.springer.de/comp/lncs/authors.html).

At least one author is required to register for the workshop and present the work. Registration is done via the VLDB registration site.

Important Dates :

Submission deadline : ~~15 May 2006~~ 22 May 2006

Acceptance notification : 23 June 2006

Final paper due : 15 July 2006

Workshop date : 11 September 2006

Program Chair

Jean-Marc Pierson

LIRIS Lab., CNRS

National Institute of Applied Sciences (INSA)

Lyon, France

Program Committee

Lionel BRUNIE, LIRIS, France

Neil P. CHUE HONG, EPCC, The University of Edinburgh, UK

Alvaro A.A. FERNANDES, The University of Manchester, UK

Dieter GAWLICK, Oracle, USA

Peter KACSUK, Mta Sztaki Research Institute, Hungary

Peter KUNSZT, CSCS, Switzerland

Stephen A. LANGELLA, The Ohio State University, USA

Marta MATTOSO, UFRJ, Brazil

Johan MONTAGNAT, CNRS, France

Reagan MOORE, SDSC, USA

Gianluca MORO, DEIS - University of Bologna, Italy

Inderpal NARANG, IBM, USA

Brigitte PLATEAU, ID-IMAG, France

Thierry PRIOL, IRISA, France

Marc SHAPIRO, INRIA, France

Heinz STOCKINGER, University of Vienna, Austria

Jari VEIJALAINEN, University of Potsdam, Germany

Accepted papers: 7 contributions have been accepted over 12 papers submitted. Authors will have 25 minutes to present their work.

Program : September 11^th

9am: Opening of the workshop

9:15am-10:30am: Keynote : Manish Parashar, University of Rutgers, USA

Title : "Data-Management in Pervasive Grid Environments – An Applications Perspective"

Abstract : Global, seamless and secure access to distributed and diverse data, supported by emerging pervasive Grid environments has the potential for enabling a new generation of data-driven Grid applications. These applications will symbiotically and opportunistically combine computation with pervasive data/information sources (archives, sensors, instruments) to provide dramatic insights into complex phenomena. However the scale, heterogeneity, dynamism and uncertainty of these environments present significant challenges. In this talk I will introduce the opportunities and requirements of data driven investigation enabled by pervasive Grid environments and the underlying data-management challenges, and will present application scenarios and current research efforts. I will then introduce autonomic solutions being developed at TASSL, Rutgers University to address some of these challenges.

10:30am-11am: Coffee Break

11:00am-12pm: Session 1. Chair : Lionel Brunie

Discovering Data Sources in a Dynamic Grid Environment

Jurgen Gores

University of Kaiserslautern, Heterogeneous Information Systems Group, Germany

Integrating and mining distributed environmental archives on Grids

Mikhail Zhizhin 1, Eric Kihn 2, Rob Redmon 2, Alexei Poyda 3, Dmitry Mishin 1, Dmitry Medvedev 1, Vassily Lyutsarev 4

1 Geophysical Center, Russian Academy of Sciences, Moscow, Russia

2 National Geophysical Data Center, NOAA, Boulder, CO, USA

3 Moscow State University, Russia

4 Microsoft Research, Cambridge, UK

12pm-1:30pm: Lunch