http://www.ccgrid.org | http://www.ccgrid2001.qut.edu.au/
In cooperation with the IEEE
Task Force on Cluster Computing (TFCC) and
Managing access to computing and data resources is a complex and time consuming task. Ideally, researchers and practitioners would spend no time at all deciding which systems to use, where the data resides for a particular application domain, how to migrate the data to the point of computation (or vice versa), and data rates required to maintain a particular application ``behaviour''. Disparate computing resources keep disciplines stratified, so researchers often end up wasting time by replicating work, and this often results in wastage of resource utilisation - as a researcher who decides when and where to run a job is often not aware of the loads and priorities of all systems.
The ``Information Grid'' (or Grid) is proposed as a means to help address some of these concerns, enabling seamless integration of computing systems and clusters, data storage, specialised networks and sophisticated analysis and visualisation software. Like an electrical power grid, the Grid will aim to provide a steady, reliable source of computing power. In the same way that we can utilise electric power without actually owning power generating stations, the Grid will offer us the ability to connect to high end computational engines or clusters without owning the engines for computing, or the data repositories on which the computation is to be performed, or into which results are to be stored. Hence, selective migration of data, or computation, will play an important role in supporting the Grid. Intermediate middleware which automatically allocates resources, and does this on-demand, and based on user preferences, is an important part of realising the Grid vision.
Agents play an important role in helping achieve this vision. The Grid is not only a low level infrastructure for supporting computation, but can also facilitate and enable information and knowledge sharing at the higher semantic levels of knowledge integration and dissemination. The aim of this workshop is to bring together both infrastructure developers, and applications developers, who are working towards the vision of an Information Grid. The workshop will also aim to inspire and encourage collaboration between these two communities.
Papers which address themes within agents research that impact Information Grids (such as scalability), and themes in agents research that will be impacted by research in Information Grids, will be especially welcome.
All participants to the workshop must submit either a research statement or a full length paper. Research statements may be no more than 4 pages, using a minimum of 10pt font, and printable on A4 paper. Based on the quality of submissions, both research statements and full length papers will be considered for presentation. Full length papers may not exceed 8 pages and should be formatted according to IEEE guidelines, using a minimum of 10pt font, and printable on A4 paper. All papers must be sent in PDF or PS format, to firstname.lastname@example.org. Surface mail submissions are also welcome, please send three copies of your paper to Omer F. Rana, Department of Computer Science, Cardiff University, POBox 916, Cardiff CF24 3XF, UK.
Authors are encouraged (but not restricted) to submit in the following areas:
|Omer F. Rana (Chair)||Cardiff University, UK|
|Tom Wagner||University of Maine, USA|
Institute for Human and Machine Cognition
University of West Florida, USA
|Michael Kirton||DERA, UK|
|Craig Thompson||OBJS Consulting, USA|
and Nina Berry
|Sandia National Laboratory, USA|
|David W. Walker||Oak Ridge National Laboratory, USA|
|David Wolpert||NASA Ames, USA|
|Denis Caromel||INRIA, France|
|Domenico LaForenza||CNUCE, Italy|
|Franco Zambonelli||Universita' di Modena e Reggio Emilia, Italy|
|Vladimir Getov||University of Westminster, UK|
|Stephen Gilmore||University of Edinburgh, UK|
|Todd Carrico||DARPA, USA|
|Dan Marinescu||Purdue University, USA|
|David Pynadath||ISI, University of Southern California, USA|
|Yariv Aridor||IBM Haifa, Israel|
|Fethi Rabhi||University of New South Wales, Australia|
|Piyush Mehrotra||ICASE, NASA Langley, USA|