AgentGrid2002: Second International Workshop on Agent Based Cluster and Grid Computing

Second International Workshop on

IEEE International Symposium on Cluster Computing and the Grid (CCGrid'2002)

May 21 - 24, 2002 Berlin, Germany

http://www.ccgrid.org/ | http://ccgrid2002.zib.de/

In cooperation with the IEEE Task Force on Cluster Computing (TFCC) and

Overview

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.

Submissions

Authors are encouraged to:

Submit a full paper (max: 6 pages in length, formatted to the IEEE format)
Submit a research statement (max: 2 pages in length, formatted to the IEEE format)

Use a minimum of 10pt font, and printable on A4 paper. IEEE guidelines can be found here. Please email your papers to o.f.rana@cs.cf.ac.uk, which is the preferred method for submission. You may also send paper copies to: Omer F. Rana, Department of Computer Science, Cardiff University, 5 The Parade, Cardiff CF24 3XF, UK

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.

Important Dates

Papers due: November 5, 2001
Notification to authors: December 20, 2001
Final version of papers due: January 20, 2002

Topics of Interest

Authors are encouraged (but not restricted) to submit in the following areas:

Performance analysis/modeling of multi-agent systems
Integrating Peer-2-Peer infrastructure with multi-agent systems
Supporting Peer-2-Peer service discovery and management
Performance enhancement methodologies for mobile and multi-agent systems
Recommender agents for scientific problem solving
Agent based resource management
Software updates and component distribution via mobile agents
Agent based load balancing
Agent based MetaComputing
Agents based network characterisation for high performance computing
Agent based support for data migration and management
Agent frameworks and infrastructure to support the Grid
Software engineering support for scalable multi-agent systems

Programme Committee (Provisional)

Omer F. Rana (Chair)	Cardiff University, UK
Tom Wagner	University of Maine, USA
Jeffrey Bradshaw, Niranjan Suri	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
Carmen Pancerella and Nina Berry	Sandia National Laboratory, USA
Michael Oudshoorn	University of Adelaide, Australia
David W. Walker	Cardiff University, UK
Lin Padgham 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