Distributed and Parallel Computing 6th International Conference on A
There are many applications that require parallel and distributed processing to allow complicated engineering, business and research problems to be solved in a reasonable time. Parallel and distributed processing is able to improve company profit, lower c
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos New York University, NY, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Michael Hobbs Andrzej M. Goscinski Wanlei Zhou (Eds.)
Distributed and Parallel Computing 6th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP Melbourne, Australia, October 2-3, 2005 Proceedings
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Volume Editors Michael Hobbs Andrzej M. Goscinski Wanlei Zhou Deakin University School of Information Technology Geelong, Victoria 3217 Australia E-mail:{mick,ang,wanlei}@deakin.edu.au
Library of Congress Control Number: 2005933043 CR Subject Classification (1998): D, F.1-3. C, I.6 ISSN ISBN-10 ISBN-13
0302-9743 3-540-29235-7 Springer Berlin Heidelberg New York 978-3-540-29235-7 Springer Berlin Heidelberg New York
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Preface
There are many applications that require parallel and distributed processing to allow complicated engineering, business and research problems to be solved in a reasonable time. Parallel and distributed processing is able to improve company profit, lower costs of design, production, and deployment of new technologies, and create better business environments. The major lesson learned by car and aircraft engineers, drug manufacturers, genome researchers and other specialist is that a computer system is a very powerful tool that is able to help them solving even more complicated problems. That has led computing specialists to new computer system architecture and exploiting parallel computer
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