Grid computing is an emerging technology that enables large-scale resource sharing and coordinated problem solving within distributed, often loosely coordinated groups-what are sometimes termed "virtual organizations. By providing scalable, secure, high-performance mechanisms for discovering and negotiating access to remote resources, Grid technologies promise to make it possible for scientific collaborations to share resources on an unprecedented scale, and for geographically distributed groups to work together in ways that were previously impossible. Similar technologies are being adopted within industry, where they serve as important building blocks for emerging service provider infrastructures.

Even though the advantages of this technology for classes of applications have been acknowledged, research in a variety of disciplines, including not only multiple domains of computer science (networking, middleware, programming, algorithms) but also application disciplines themselves, as well as such areas as sociology and economics, is needed to broaden the applicability and scope of the current body of knowledge. Topics that fit within this theme include:

Protocols, middleware, and services for security, discovery, sharing, management etc., of computing, storage, data and other resources - within dynamic, distributed communities
Scaling issues in various dimensions: number of sites, number of users, number of resources, aggregate performance, and amount of data
Peer-to-peer and internet computing
Design environments, application development tools, languages and compilation techniques for GRID Computing
Grid applications and system solutions in science, engineering and commerce
Novel uses of Grid Computing concepts and technologies, for example in sensor nets and education
Advanced collaboration technologies for collaborative work, information sharing and problem solving
The implications of Grid technologies for emerging optical and wireless infrastructures
The human and/or market dynamics that may influence resource sharing decisions and the choice of collaboration modalities within small and large communities

Editor-in-Chief:
Péter Kacsuk, MTA SZTAKI Computer and Automation Research Institute, Budapest, Hungary and the University of Westminster, London, UK

Editorial Board:
David Abramson, Monash University, Melbourne, Vic., Australia
David P. Anderson, Space Sciences Lab, U.C. Berkeley, California, USA
Filipe Araujo, University of Coimbra, Portugal
Malcolm Atkinson, U.K. eScience Center, Glasgow, UK
Henri Bal, Vrije Universiteit, Amsterdam, The Netherlands
Fran Berman, UnCenter for a Digital Society, Rensselaer Polytechnic Institute, New York, USA
Isabel Campos Plasencia, Spanish National Research Council, Spain
Franck Cappello, CNRS, Paris, France
Charles Catlett, Argonne National Laboratory, Illinois, USA
Andrew Chien, University of Chicago, Illinois, USA
Jon Crowcroft, University of Cambridge, UK
David Culler, University of California, California, USA
Ewa Deelman, University of Southern California, California, USA
Jack Dongarra, University of Tennessee, Knoxville, USA
Ian Foster, Argonne National Laboratory and The University of Chicago, Illinois, USA
Fabrizio Gagliardi, Microsoft, USA
Wolfgang Gentzsch, The UberCloud Experiment, Germany
Tony Hey, Microsoft, USA
Bill Johnston, Lawrence Berkeley National Laboratory, California, USA
Attila Kertesz, University of Szeged, Hungary
Carl Kesselman, University of Southern California, Marina del Rey, USA
Tamas Kiss, University of Westminster, UK
Dieter Kranzlmueller, Ludwig-Maximilians-Universitaet Muenchen & Leibniz Supercomputing Centre, Germany
Domenico Laforenza, CNR, Italy
Miron Livny, University of Wisconsin, Wisconsin, USA
Ignacio Martín Llorente, Universidad Complutense de Madrid, Spain
Satoshi Matsuoka, Tokyo Institute of Technology, Japan
Jarek Nabrzyski, Notre Dame University, USA
Pratap Pattnaik, IBM Research, Yorktown, NY, USA
Dana Petcu, West University of Timisoara, Romania
Radu Prodan, University of Klagenfurt, Austria
Alexander Reinefeld, ZIB Berlin and Humboldt Universität zu Berlin, Germany
Ed Seidel, National Science Foundation, USA
Satoshi Sekiguchi, National Institute of Advanced Industrial Science and Technology, Ibaraki, Japan
Oxana Smirnova, Lund University, Sweden
Yongwei Wu, Tsinghua University, Beijing, China
Ramin Yahyapour, GWDG, Germany
Zhiwei Zu, Chinese Academy of Sciences, Beijing, China