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Designing A New Class Of Distributed Systems, Mikkilineni, Springer, 2012.pdf

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Designing A New Class Of Distributed Systems, Mikkilineni, Springer, 2012.pdf

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Designing A New Class Of Distributed Systems, Mikkilineni, Springer, 2012.pdf

文档介绍

文档介绍:SpringerBriefs in Electrical puter
Engineering
For further volumes:
ies/10059
Rao Mikkilineni
Designing a New Class
of Distributed Systems
123
Rao Mikkilineni
Kawa Objects Inc.
Los Altos, CA
USA
e-mail: rao@
ISSN 2191-8112 e-ISSN 2191-8120
ISBN 978-1-4614-1923-5 e-ISBN 978-1-4614-1924-2
DOI -1-4614-1924-2
Springer New York Dordrecht Heidelberg London
Library of Congress Control Number: 2011940831
Ó The Author(s) 2011
All rights reserved. This work may not be translated or copied in whole or in part without the written
permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York,
NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in
connection with any form of information storage and retrieval, electronic adaptation, computer
software, or by similar or dissimilar methodology now known or hereafter developed is forbidden.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they
are not identified as such, is not to be taken as an expression of opinion as to whether or not they are
subject to proprietary rights.
Printed on acid-free paper
Springer is part of Springer Science+Business Media ()
Preface
A puting model, extends the von Neumann stored program control (SPC)
computing model to program and execute self-configuring, self-monitoring, self-
healing, self-protecting and self-optimizing (in short, self-managing or self-*)
distributed software systems. As opposed to anizing systems that evolve
based on probabilistic considerations, this approach focuses on the encapsulation,
replication, and execution of distributed and managed (regulated) tasks that are
specified precisely. Its innately parallel architecture (non-von Neumann), and its
architectural resiliency of anisms, are ideally suited to exploit the
many-core architecture and low-latency works emerging in the new
generation of data centers to