Distributed Infrastructure Support for Electronic Commerce Applications

183 Pages·2004·6.618 MB·English

by  Hans-Arno Jacobsen (auth.)

DISTRIBUTED INFRASTRUCTURE
SUPPORT FOR ELECTRONIC
COMMERCE APPLICATIONS
THE KLUWER INTERNATIONAL SERIES
IN ENGINEERING AND COMPUTER SCIENCE
DISTRIBUTED INFRASTRUCTURE
SUPPORT FOR ELECTRONIC
COMMERCE APPLICATIONS
by
Hans-Arno Jacobsen
University of Toronto, Canada
SPRINGER SCIENCE+BUSINESS MEDIA, LLC
Library of Congress CataJoglng·ln.Publication
D1STRIBUTED INFRASTRUCTURE SUPPORT FOR ELECTRONIC
COMMERCE APPLICATIONS
Hans-Arno Jacobsen
ISBN 978-14613-4727-9 ISBN 978-1-4419-8937-6 (eBook)
DOI 10.1007/978-1-4419-8937-6
Copyright e 2004 by Springer Scicnce+Busincs:s Media New York
Originally published by Kluwer Academic Publîsl\ers in 2004
Softcover reprinl of the hardcover 1s I edition 2004
Aii righls reserved. No part of Ihis publication mal' be reproduced. stored in a relrieval
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microfilming, recording, or olherwise, without the prior written permission ofthe publisher,
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executed on a computer system, for exclusive use by the purchaser of the work.
Permissions for books published in the USA: [email protected]
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Tomyparentsand
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Contents
Dedication v
Preface xi
Acknowledgments xiii
Part I Motivation andBackground
1. INTRODUCTION 3
1.1 Motivation 3
1.2 Terminology 5
1.3 The TransparencyTrade-off 5
1.4 Organization 7
2. DISTRIBUTEDCOMPUTING INFRASTRUCTURES 9
2.1 Transparencyand ResourceControl 9
2.2 RemoteProcedureCall Systems 12
2.3 Distributed ComputingEnvironment 14
2.4 ObjectManagementArchitecture 14
2.5 Distributed ComponentObject Model 18
2.6 Java MiddlewareSuite 19
2.7 Comparison 19
2.8 OtherApproaches 21
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Part II Concepts
3. OPENDESIGN AND LANGUAGE
TRANSPARENCY 29
3.1 Motivation 29
3.2 Defininga LanguageMapping 31
3.3 FacetsofLanguageTransparency 36
3.4 OpenMiddlewareDesign Implications 43
3.5 Implications for LanguageTransparency 46
3.6 Summary 47
4. EXTENDINGINTERFACEDEFINITION
LANGUAGES 49
4.1 Motivation 50
4.2 CORBA: DistributedObjectComputing Middleware 52
4.3 Extendinginterfacedefinition languages 53
4.4 Interfaces with SynchronizationConstraints 57
4.5 DesignPatterns for Implementing SynchronizationCode 62
4.6 Implementation 70
4.7 Summary 77
5. MULTITHREADED SERVERS 79
5.1 Motivation 79
5.2 Multithreading inInfrastructure Servers 81
5.3 IncreasingServerThroughput 83
5.4 PerformanceEvaluation 84
5.5 Summary 90
Part III Validation and case studies
6. SOFTWARELEASING ON THEINTERNET 97
6.1 SoftwareLeasing 97
6.2 MMM Design and Architecture 100
6.3 Security Considerations 113
6.4 Applications and Related Work 117
6.5 Summary 121
Contents ix
7. THE RBMO SYSTEM 125
7.1 Energy Management 125
7.2 Background 128
7.3 RBMO System Design 129
7.4 The RBMO ApplicationsSoftware 134
7.5 Discussion 136
7.6 RelatedWork 143
7.7 Future Work 143
7.8 Summary 144
8. MAP-ON-THE-MOVE 145
8.1 Distributed Mobile Computing 145
8.2 Application Design and Architecture 148
8.3 Related Work 154
8.4 Future Work 156
8.5 Summary 157
9. SUMMARY 159
References 164
Index 177
Preface
The trend in computing infrastructure design has gone towards hiding im
plementation language,networkprotocol,operatingsystem,andhardwareplat
form features behind a unifying paradigm. Modem distributed infrastructures
provide application developers with a common operational model, interoper
ability protocols, an interface definition language, and a set of core services.
For the application development this achieves a high degree of transparency
with respect to distribution, location, and computing resources. The overall
goal ofthisapproach istoincrease application portability,enhance component
interoperability, improve system integration, and ease distributed application
development.
However, the transparency thus gained makes it difficult for the applica
tion todirectly manipulate and exploit the underlying computational resources
and consequently influence overall system performance. The key problem is
the trade-off between simplicity of theprogramming model, achieved through
transparency, and the scalability of the distributed system, achieved through
non-transparency and direct resource control.
In this book we discuss techniques that address this transparency trade-off
problem. Our approach provides more control over the involved computing
resources, without abandoning the primaryobjectives of the distributed com
puting infrastructure - portability andinteroperability fortheapplication. Our
techniques intervene at different levelsoftheinfrastructure architecture toim
prove resource accessibility and manageability.
First, we assess the lack of extensibility and open implementation charac
teristics in standard distributed computing platforms, show howand where to
enhance platforms, and demonstrate resulting benefits.
Second, we develop a framework that allows us to automate the processing
of, with "computational hints", annotated interface specifications to better ex
ploit application semantic (e.g., object synchronization) and to better manage
available resources (e.g., QoS annotations).
xii DISTRIBUTEDINFRASTRUCTURESUPPORT
Third, wedevelop request scheduling algorithms thatexploit computational
servercharacteristics (e.g.,cache, processor model) toincrease server through
put. This demonstrates how to effectively combine the transparency charac
teristics of distributed computing infrastructures with the high-performance
features of affordable server technology.
We substantiate our observations with three original electronic commerce
application case studies. These comprise: an electronic commerce framework
for software leasing overtheWorldWideWeb,aremote building energy man
agement system, and a wireless computing infrastructure for the deployment
of information services tonon-stationary mobile clients.