Remote Instrumentation and Virtual Laboratories Service Architecture
Remote Instrumentation and Virtual Laboratories focuses on all aspects related to the effective exploitation of remote instrumentation; on making instrumentation fully integrated into the e-Science scenario by considering middleware, networking, and metro
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Franco Davoli · Norbert Meyer · Roberto Pugliese · Sandro Zappatore Editors
Remote Instrumentation and Virtual Laboratories Service Architecture and Networking
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Editors Franco Davoli University of Genoa DIST Via Opera Pia, 13 16145 Genova Italy [email protected] Roberto Pugliese Sincrotrone Trieste S.p.A. Strada Statale 14 km 163.5 in Area Science Park 34012 Basovizza Trieste Italy [email protected]
Norbert Meyer Pozna´n Supercomputing & Networking Center ul. Noskowskiego 10 61-704 Pozna´n Poland [email protected] Sandro Zappatore University of Genoa DIST Via Opera Pia, 13 16145 Genova Italy
ISBN 978-1-4419-5595-1 e-ISBN 978-1-4419-5597-5 DOI 10.1007/978-1-4419-5597-5 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2010921156 c Springer Science+Business Media, LLC 2010 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 (www.springer.com)
Preface
eScience is generally recognized as a complex of activities that require highly intensive computation on huge data sets in a large-scale networked distributed environment. It embraces such diverse disciplines as particle and high-energy physics, meteorology, astronomy, astrophysics, geo-science, and biology, just to mention a few. Another essential component of such activities is the capability of real-time interaction and collaboration among many scientists working on a specific problem or data set worldwide. However, there is a third major aspect that is sometimes less emphasized in this context, which is related with the use of specific instrumentation – the pieces of equipment physically producing the data that pertain to a certain experiment. Remotely accessing instruments, configuring their parameters, setting up a “measurement chain” – possibly distributed among different laboratories, running the experiment, generating and collecting the data are all preliminary actions to any further activities regarding data analysis and interpretation. Systemlevel science and effectively running the complex workflows that modern science requires are made possible only by integrating instruments in the computing and data treatment pipeline. In turn, large data sets and computationally intensive operations of eScience involve the use of Grid computing paradigms and the
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