Second International Workshop on
http://www.ccgrid.org/ | http://ccgrid2002.zib.de/
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. 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, to support 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 using agent technologies. The workshop will also aim to inspire and encourage collaboration between these two communities.
Authors are encouraged to:
Full papers (category (a)) will be reviewed by the programme committee for relevance, clarity and the novelty of results. If accepted, full papers will be published in the conference proceedings by IEEE Computer Society. Authors may purchase two additional pages.
Short papers (category (b)) will be published in a seperate section. This is to encourage work that is not yet advanced enough for a full paper.
We also encourage authors to present novel ideas, critique of existing work, and application examplers, which demonstrate how Grid technology could be effectively deployed. We also welcome practical work which applies Grid technology in novel and interesting ways.
Authors are encouraged (but not restricted) to submit in the following areas:
Programme Committee (Provisional)
|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 Gerndt||TUM, Germany|
|Luc Moreau||Southampton University, UK|
|Michael Kirton||DERA, UK|
|Evangelos Markatos||ICS, FORTH, Greece|
|Craig Thompson||OBJS Consulting, USA|
|Martin Purvis||University of Otago, New Zealand|
and Nina Berry
|Sandia National Laboratory, USA|
|Michael Oudshoorn||University of Adelaide, Australia|
|David W. Walker||Cardiff University, UK|
and Michael Winikoff
|RMIT, Melbourne, Australia|
|Denis Caromel||INRIA, France|
|Domenico LaForenza||CNUCE, Italy|
|Franco Zambonelli||Universita' di Modena e Reggio Emilia, Italy|
|Luciano Serafini||ITC-IRST, Italy|
|Stephen Gilmore||University of Edinburgh, UK|
|Dan Marinescu||Purdue University, USA|
|David Pynadath||ISI, University of Southern California, USA|
|Piyush Mehrotra||ICASE, NASA Langley, USA|
|Ralph Ronnquist||AOS Ltd, Australia|