Practical Distributed Processing
Distributed processing has a strong theoretical foundation, but many day-to-day practitioners make limited use of the advantages this theory can give them. The result includes unreliable systems with obscure and intermittent failures that can cost time, m
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P h illip J. Bro o k e an d R ic h ard F . P aig e
Practical Distributed Processing
Phillip J. Brooke, MA, DPhil, MBCS CITP, CMath MIMA School of Computing, University of Teesside, UK
Richard F. Paige, BSc, MSc, PhD Department of Computer Science University of Y ork, UK
Series editor Ian Mackie École Polytechnique, France and King’s College London, UK Advisory board Samson Abramsky, University of Oxford, UK Chris Hankin, Imperial College London, UK Dexter Kozen, Cornell University, USA Andrew Pitts, University of Cambridge, UK Hanne Riis Nielson, Technical University of Denmark, Denmark Steven Skiena, Stony Brook University, USA Iain Stewart, University of Durham, UK David Zhang, The Hong Kong Polytechnic University, Hong Kong British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2007934035 Undergraduate Topics in Computer Science ISSN 1863-7310 ISBN 978-1-84628-840-1 e-ISBN 978-1-84628-841-8
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