Davoli / Meyer / Pugliese Grid Enabled Remote Instrumentation

1. Auflage 2008
ISBN: 978-0-387-09663-6
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 596 Seiten

Grid architectures, which are viewed as tools for the integration of distributed resources, play a significant role as managers of computational resources, but also as aggregators of measurement instrumentation and pervasive large-scale data acquisition platforms.  The functionality of a grid architecture allows managing, maintaining, and exploiting hetereogeneous instrumentation and acquisition devices in a unifed way by providing standardized interfaces and common work environments to their users.  This result is achieved through the properties of isolation from the physical network and from the peculiarites of the instrumentation granted by standard middleware together with secure and flexibile mechanisms which seek, access, and aggregate distributed resources.

This book focuses on a number of aspects related to the effective exploitation of remote instrumentation on the grid.  These include middleware architecture, high speed networking in support of grid applications, wireless grid for acquisition devices and sensor networks, quality of service provisioning for real time control, and measurement instrumentation.

Autoren/Hrsg.

Davoli, Franco

Meyer, Norbert

Pugliese, Roberto

Zappatore, Sandro

Inhaltsverzeichnis

1;TABLE OF CONTENTS;6
2;PREFACE;11
3;ACKNOWLEDGMENTS;14
4;Sensor Networks as Data Acquisition Devices;15
4.1;DATA-CENTRIC STORAGE IN NON-UNIFORM SENSOR NETWORKS;17
4.1.1;1. INTRODUCTION;17
4.1.2;2. LOAD UNBALANCE IN GHT;20
4.1.3;3. DISTRIBUTION ESTIMATION;22
4.1.4;4. DELIGHT: EXTENDING GEOGRAPHIC HASH TABLES WITH DENSITY ESTIMATION;24
4.1.4.1;4.1 The put and get Operations;24
4.1.4.2;4.2 Non-uniform Hashing;25
4.1.4.3;4.3 The Dispersal Protocol;26
4.1.4.4;4.4 Behavior in Case of Faults;27
4.1.5;5. SIMULATIONS AND RESULTS;27
4.1.6;6. CONCLUSIONS;31
4.1.7;ACKNOWLEDGMENTS;32
4.1.8;REFERENCES;32
4.2;EXTENDING INSTRUMENTATION GRIDS TO WIRELESS SENSOR NETWORKS;34
4.2.1;1. INTRODUCTION;34
4.2.2;2. THE GRIDCC PROJECT;36
4.2.3;3. INTEGRATION OF SENSOR NETWORKS WITH INSTRUMENTATION GRIDS;37
4.2.3.1;3.1 Interconnection and Networking;39
4.2.3.2;3.2 Scalability;39
4.2.3.3;3.3 Availability;40
4.2.3.4;3.4 Scheduling and Partitioning;40
4.2.3.5;3.5 Quality of Service;40
4.2.3.6;3.6 Security;41
4.2.4;4. TESTBED SETUP AND IMPLEMENTATION;42
4.2.5;5. CONCLUSIONS;45
4.2.6;REFERENCES;45
4.3;REDUCED-COMPLEXITY DECENTRALIZED DETECTION OF SPATIALLY NON- CONSTANT PHENOMENA;46
4.3.1;1. INTRODUCTION;46
4.3.2;2. PHENOMENAWITH A SINGLE BOUNDARY ;48
4.3.2.1;2.1 MMSE Fusion Rule;48
4.3.2.2;2.2 Simplified Fusion Rule;51
4.3.3;3. PHENOMENAWITH GENERIC NUMBERS OF BOUNDARIES;53
4.3.3.1;3.1 MMSE Fusion Rule;54
4.3.3.2;3.2 Simplified Fusion Rule;56
4.3.4;4. NUMERICAL RESULTS;58
4.3.4.1;4.1 Single-Boundary Phenomena;59
4.3.4.2;4.2 Phenomena with Multiple Boundaries;64
4.3.5;5. COMPUTATIONAL COMPLEXITY;65
4.3.6;6. CONCLUSIONS;66
4.3.7;REFERENCES;67
4.4;PERFORMANCE ANALYSIS OF ZIGBEE WIRELESS SENSOR NETWORKS WITH RELAYING;68
4.4.1;1. INTRODUCTION;68
4.4.2;2. ZIGBEE STANDARD OVERVIEW;69
4.4.3;3. EXPERIMENTAL AND SIMULATION SETUP;70
4.4.4;4. PERFORMANCE ANALYSIS;73
4.4.4.1;4.1 Impact of the Number of Sensors;73
4.4.4.2;4.2 Impact of Traffic Load;79
4.4.4.3;4.3 Impact of the ACKWindow Duration;85
4.4.4.4;4.4 Impact of Network Lifetime;87
4.4.5;5. CONCLUSIONS;89
4.4.6;APPENDIX. ANALYTICAL APPROXIMATION OF THE SIMULATION RESULTS;90
4.4.7;REFERENCES;91
4.5;IMPLEMENTATION OF AVERAGE CONSENSUS PROTOCOLS FOR COMMERCIAL SENSOR NETWORKS PLATFORMS;93
4.5.1;1. INTRODUCTION;93
4.5.1.1;1.1 Specific Contributions of the Paper on Communication Protocols for Average Consensus;94
4.5.2;2. WIRELESS NETWORK MODEL;94
4.5.3;3. PRELIMINARIES ON AVERAGE CONSENSUS;96
4.5.4;4. METROPOLIS-HASTINGS AVERAGE CONSENSUS;97
4.5.4.1;4.1 Metropolis-HastingsWithout Training;100
4.5.4.2;4.2 ConstantWeight;101
4.5.5;5. PERFORMANCE EVALUATION;102
4.5.6;6. APPLICATIONS FOR AVERAGE CONSENSUS ALGORITHMS;104
4.5.7;7. CONCLUSIONS;105
4.5.8;REFERENCES;105
5;Networking and the Grid;108
5.1;BIOLOGICALLY INSPIRED APPROACHES TO NETWORK SYSTEMS;109
5.1.1;1. INTRODUCTION;109
5.1.2;2. BIOLOGICALLY INSPIRED COMPUTER NETWORKS;110
5.1.2.1;2.1 Biological Principles Applied;111
5.1.2.2;2.2 Middleware Framework;113
5.1.2.3;2.3 Current Status;114
5.1.3;3. BIOLOGICALLY INSPIRED NANOSCALE NETWORKS;115
5.1.3.1;3.1 Biological Communications;115
5.1.3.2;3.2 Molecular Communication Architecture;116
5.1.3.3;3.3 Molecular Communication Systems;118
5.1.3.4;3.4 Current Status;121
5.1.4;4. CONCLUSIONS;121
5.1.5;REFERENCES;121
5.2;DYNAMIC NETWORK RESOURCES ALLOCATION IN GRIDS THROUGH A GRID NETWORK RESOURCE BROKER;124
5.2.1;1. INTRODUCTION;124
5.2.2;2. GRID NETWORK-AWARE RESOURCE BROKER ARCHITECTURE;126
5.2.2.1;2.1 GNRB Network Services;127
5.2.2.2;2.2 GNRB Architecture;129
5.2.3;3. PATH COMPUTATION ALGORITHM;132
5.2.3.1;3.1 QoS Metrics;132
5.2.3.2;3.2 WangÒCrowcroft with Bandwidth and Delay Sorting ( WCBDS);133
5.2.4;4. SIMULATION RESULTS;135
5.2.5;5. CONCLUSIONS;137
5.2.6;ACKNOWLEDGMENTS;138
5.2.7;REFERENCES;138
5.3;EXPLOITING OVERLAY NETWORKS FEATURES TO ENHANCE THE PERFORMANCE OF THE FILE MOVER;140
5.3.1;1. INTRODUCTION;140
5.3.2;2. THE FILE MOVER;142
5.3.3;3. EXTENDING THE FILE MOVER;143
5.3.3.1;3.1 Multipath File Transfers;144
5.3.3.2;3.2 Transfer from Cached Copies;145
5.3.3.3;3.3 Striped File Transfers;146
5.3.4;4. EXPERIMENTAL EVALUATION;146
5.3.4.1;4.1 The Network Testbed;147
5.3.4.2;4.2 Experimental Scenarios;147
5.3.4.3;4.3 Experimental Results;149
5.3.5;5. CONCLUSIONS;152
5.3.6;REFERENCES;153
5.4;ADVANCED SATELLITE INFRASTRUCTURES IN FUTURE GLOBAL GRID COMPUTING: NETWORK SOLUTIONS TO COMPENSATE DELIVERY DELAY*;156
5.4.1;1. INTRODUCTION;156
5.4.2;2. TECHNOLOGY OVERVIEW ;158
5.4.2.1;2.1 Satellite Architecture;158
5.4.2.2;2.2 TCP-Friendly Rate Control Algorithm;161
5.4.2.3;2.3 QS Protocol;162
5.4.3;3. NUMERICAL RESULTS;163
5.4.4;4. CONCLUSIONS;168
5.4.5;ACKNOWLEDGMENTS;168
5.4.6;REFERENCES;168
5.5;MONITORING SOLUTION FOR OPTICAL GRID ARCHITECTURES;170
5.5.1;1. INTRODUCTION;170
5.5.2;2. PROBLEMSWITH EXISTING APPROACHES AND TOOLS;172
5.5.3;3. REQUIREMENTS FOR OPTICAL NETWORKS MONITORING SYSTEM;172
5.5.4;4. IMPLEMENTATION OF THE ÏLAMBDA MONITORÓ SOFTWARE;173
5.5.5;5. FURTHER DEVELOPMENT OF ÏLAMBDA MONITORÓ;180
5.5.6;6. CONCLUSIONS;180
5.5.7;REFERENCES;181
5.6;GRIDS AND NETWORKS MONITORING Ò PRACTICAL APPROACH;182
5.6.1;1. INTRODUCTION;182
5.6.2;2. DESIGN ISSUES ;184
5.6.2.1;2.1 Methodology;184
5.6.2.2;2.2 Performance Monitoring;185
5.6.2.3;2.3 Monitoring Versus Accounting;185
5.6.2.4;2.4 Availability Monitoring;186
5.6.3;3. COMMONLY USED TOOLS ;186
5.6.3.1;3.1 RRDTool;186
5.6.3.2;3.2 MRTG;187
5.6.3.3;3.3 Smokeping;188
5.6.3.4;3.4 Netflow Tools;188
5.6.3.5;3.5 Orca;189
5.6.3.6;3.6 Nagios;190
5.6.4;4. UNIFIED MONITORING INTERFACE ;190
5.6.4.1;4.1 Project Motivation;190
5.6.4.2;4.2 Data Flow;191
5.6.4.3;4.3 Security and Access Control;192
5.6.4.4;4.4 Implementation and Deployment;193
5.6.5;5. CONCLUSIONS;194
5.6.6;REFERENCES;195
5.7;ANALYZING AND OPTIMIZING THE LINUX NETWORKING STACK;196
5.7.1;1. INTRODUCTION;196
5.7.2;2. RELATED WORK;197
5.7.3;3. THE LINUX NETWORKING ARCHITECTURE;198
5.7.3.1;3.1 Performance Tuning;200
5.7.4;4. TESTBED AND MEASUREMENT TOOLS;201
5.7.5;5. NUMERICAL RESULTS;201
5.7.6;6. CONCLUSIONS;207
5.7.7;REFERENCES;208
6;Instrumentation and Measurement;209
6.1;A GRID ARCHITECTURE FOR EFFICIENT MEASUREMENT OF ELECTRICAL DISTURBANCES;210
6.1.1;1. INTRODUCTION;210
6.1.2;2. MEASUREMENT PROCESS;212
6.1.2.1;2.1 Parallel Version of the Measurement Process;213
6.1.3;3. GRID IMPLEMENTATION;215
6.1.4;4. EXAMPLES OF MEASUREMENT RESULTS;217
6.1.5;5. CONCLUSIONS;218
6.1.6;REFERENCES;219
6.2;SYSTEMATIZATION AND ANALYSIS OF REMOTELY ACCESSED INSTRUMENTS AND USER COMMUNITY REQUIREMENTS;220
6.2.1;1. INTRODUCTION;220
6.2.2;2. IDENTIFICATION OF SCIENTIFIC INSTRUMENTS AND USER COMMUNITIES;221
6.2.2.1;2.1 Preparation and Dissemination of the Instrument Information Form ( IIF);222
6.2.2.2;2.2 Analysis of the IIF Data;223
6.2.2.3;2.3 User Community Identification and Requirements;227
6.2.3;3. TECHNOLOGY FOR THE CREATION OF THE DATABASE;228
6.2.3.1;3.1 Overview of MySQL;228
6.2.3.2;3.2 JavaServer Pages Overview;229
6.2.3.3;3.3 The Java Servlet Technology;229
6.2.4;4. DATABASE FUNCTIONAL DESCRIPTION;230
6.2.5;5. CONCLUSIONS;232
6.2.6;ACKNOWLEDGMENTS;232
6.2.7;REFERENCES;233
6.3;SERVICE-ORIENTED ARCHITECTURES FOR DISTRIBUTED COOPERATIVE INSTRUMENTATION GRIDS;234
6.3.1;1. INTRODUCTION;234
6.3.2;2. SERVICE-ORIENTED ARCHITECTURES;235
6.3.2.1;2.1 Web Services for Embedded Systems;236
6.3.2.2;2.2 From Service-Oriented Architectures to Grid Frameworks;237
6.3.3;3. GRID AND INSTRUMENTS;238
6.3.4;4. A GRID-BASED DISTRIBUTED MEASUREMENT SYSTEM;238
6.3.5;5. CONCLUSIONS;241
6.3.6;ACKNOWLEDGMENTS;241
6.3.7;REFERENCES;241
6.4;AWEB-BASED TOOL FOR COLLABORATIVE ACCESS TO SCIENTIFIC INSTRUMENTS IN CYBERINFRASTRUCTURES;243
6.4.1;1. INTRODUCTION;243
6.4.2;2. RELATED WORK;245
6.4.3;3. DESIGN APPROACH;246
6.4.4;4. THE VIRTUAL CONTROL ROOM;248
6.4.4.1;4.1 Architecture of the VCR;248
6.4.4.2;4.2 The VCR User Interface;249
6.4.4.3;4.3 Collaboration Tools;251
6.4.4.4;4.4 Resources Tools;253
6.4.5;5. IMPLEMENTATION ISSUES;254
6.4.6;6. CONCLUSIONS;256
6.4.7;REFERENCES;256
6.5;THE WILAB TELEMEASUREMENT PLATFORM FOR DISTRIBUTED RESOURCES ON HETEROGENEOUSCOMMUNICATIONNETWORKS;258
6.5.1;1. INTRODUCTION;258
6.5.2;2. WILAB ARCHITECTURE;260
6.5.3;3. WEB ACCESS SYSTEM;265
6.5.4;4. DSP REMOTE CONFIGURATION;267
6.5.5;5. EXAMPLE OF TELEMEASUREMENT EXPERIENCE;270
6.5.6;6. CONCLUSIONS;271
6.5.7;ACKNOWLEDGMENTS;272
6.5.8;REFERENCES;272
6.6;INSTRUMENTS IN GRID: THE NEW INSTRUMENT ELEMENT;274
6.6.1;1. INTRODUCTION;274
6.6.2;2. RELATED WORK;275
6.6.3;3. THE GRID-INSTRUMENT CONTROL SYSTEM ARCHITECTURE;276
6.6.3.1;3.1 Recycling G-DSE to Design G-ICS;277
6.6.3.2;3.2 The ICS Manager;278
6.6.3.3;3.3 The Modified GIS;279
6.6.3.4;3.4 The G-ICS Architecture;280
6.6.3.5;3.5 From G-ICS to IE;282
6.6.3.6;3.6 An Example of Special Job;282
6.6.4;4. CONCLUSIONS;284
6.6.5;REFERENCES;285
6.7;ON THE INTEGRATION OF TELECOMMUNICATION MEASUREMENT DEVICESWITHIN THE FRAMEWORK OF AN INSTRUMENTATION GRID;287
6.7.1;1. INTRODUCTION;288
6.7.2;2. FRAMEWORK ARCHITECTURE;289
6.7.2.1;2.1 The GRIDCC Architecture;289
6.7.2.2;2.2 The Instrument Element;291
6.7.2.3;2.3 Instrument Managers;291
6.7.3;3. THE DEVICE FARM AND ITS INSTRUMENT ELEMENTS;292
6.7.4;4. INTEGRATION OF A REAL MEASUREMENT INSTRUMENTWITHIN THE GRIDCC REFERENCE ARCHITECTURE;294
6.7.5;5. PERFORMANCE EVALUATION;297
6.7.6;6. CONCLUSIONS;300
6.7.7;ACKNOWLEDGMENTS;301
6.7.8;APPENDIX;301
6.7.9;REFERENCES;303
7;Grid Resource Allocation, QoS, and Security;305
7.1;GRID INTEROPERABILITY BY MULTIPLE BROKER UTILIZATION AND META- BROKERING*;306
7.1.1;1. INTRODUCTION;307
7.1.2;2. THE P-GRADE PORTAL;308
7.1.3;3. RESOURCE MANAGEMENT THROUGH BROKERS;308
7.1.4;4. META-BROKERING APPROACH;310
7.1.5;5. CONCLUSIONS;313
7.1.6;REFERENCES;314
7.2;ON QUALITY OF SERVICE SUPPORT FOR GRID COMPUTING;316
7.2.1;1. INTRODUCTION;316
7.2.2;2. STRICT GUARANTEES;317
7.2.2.1;2.1 SLA Signaling;318
7.2.2.2;2.2 Agreement Service;320
7.2.3;3. LOOSE GUARANTEES;320
7.2.4;4. END-TO-END PERFORMANCE ESTIMATION;323
7.2.4.1;4.1 Performance Metrics;323
7.2.4.2;4.2 Measurements Methodology;324
7.2.5;5. METRIC COMPOSITION;326
7.2.6;6. INFORMATION PUBLISHING AND ARCHIVING;326
7.2.7;7. PROTOTYPE;327
7.2.8;8. RELATED WORK;328
7.2.9;9. CONCLUSIONS;328
7.2.10;ACKNOWLEDGMENTS;329
7.2.11;REFERENCES;329
7.3;VICTOR-SPACES: VIRTUAL AND REMOTE EXPERIMENTS IN COOPERATIVE KNOWLEDGE SPACES;331
7.3.1;1. INTRODUCTION;331
7.3.2;2. RELATED WORK;332
7.3.3;3. THE CONCEPT OF VIRTUAL ROOMS;333
7.3.3.1;3.1 Room-Related Rights;335
7.3.3.2;3.2 Specification of Room Users;336
7.3.3.3;3.3 Tools and Communication Interfaces;336
7.3.4;4. EXPERIMENTS IN VIRTUAL SPACES;337
7.3.4.1;4.1 System Architecture;339
7.3.4.2;4.2 Integration of Remote and Virtual Labs;340
7.3.4.3;4.3 JavaWeb Services and Modularization of Components;340
7.3.5;5. SAMPLE SCENARIO - eRESEARCH;342
7.3.6;6. CONCLUSIONS;343
7.3.7;REFERENCES;344
7.4;ENABLING SCIENTISTS THROUGH WORKFLOW AND QUALITY OF SERVICE;346
7.4.1;1. INTRODUCTION;346
7.4.1.1;1.1 The Grid Architecture;349
7.4.2;2. WORKFLOW EDITING;350
7.4.2.1;2.1 Business Process Execution Language;350
7.4.2.2;2.2 Aim of GRIDCC Editor;351
7.4.3;3. WORKFLOW WITH QUALITY OF SERVICE REQUIREMENTS;354
7.4.3.1;3.1 QoS Components;357
7.4.4;4. CONCLUSIONS;359
7.4.5;REFERENCES;359
7.5;IMPROVING THE SECURITY PERFORMANCE IN COMPUTER GRIDS;361
7.5.1;1. INTRODUCTION;361
7.5.2;2. AAI INFRASTRUCTURES FOR GRIDS;362
7.5.3;3. DISTRIBUTED KERBERIZED ACCESS ARCHITECTURE ( DKAA) OVERVIEW;363
7.5.3.1;3.1 Non-security Related Architectural Components;364
7.5.3.2;3.2 Security Related Architectural Components;365
7.5.3.3;3.3 Users and Authorization;367
7.5.4;4. DKAA IMPLEMENTATION AND RESULTS;369
7.5.4.1;4.1 DKAA Implementation Details;369
7.5.4.2;4.2 A Simple Use Case Example;370
7.5.4.3;4.3 Measurements;372
7.5.5;5. CONCLUSIONS;374
7.5.6;REFERENCES;374
7.6;SUPPORTING INTERACTIVE APPLICATION REQUIREMENTS IN A GRID ENVIRONMENT;376
7.6.1;1. INTRODUCTION;377
7.6.2;2. EXTRACTING AND IDENTIFYING REQUIREMENTS;378
7.6.3;3. RESOURCE DISCOVERY AND RESERVATION;379
7.6.4;4. RUNTIME MONITORING AND REQUIREMENT ENFORCING;383
7.6.4.1;4.1 Monitoring Resource Use;383
7.6.4.2;4.2 Monitoring Deadlines;385
7.6.5;5. PERFORMANCE EVALUATION OF RESOURCE SELECTION;386
7.6.6;6. CONCLUSIONS;388
7.6.7;REFERENCES;389
7.7;THE COMMON INSTRUMENT MIDDLEWARE ARCHITECTURE;391
7.7.1;1. INTRODUCTION;391
7.7.2;2. PROJECT GOALS;392
7.7.3;3. COMMON INSTRUMENT MIDDLEWARE ARCHITECTURE;393
7.7.4;4. EXPERIENCES WITH CIMA;398
7.7.5;5. FUTURE DIRECTIONS;401
7.7.5.1;5.1 Semantic Web for Instruments and Sensors;401
7.7.5.2;5.2 Beyond Portals Ò Instruments and Sensors in aWeb 2.0 Context;401
7.7.5.3;5.3 Support for Sequencer-Based Experiments;402
7.7.5.4;5.4 Education and Outreach Through Remote Access to Instruments;402
7.7.6;6. CONCLUSIONS;402
7.7.7;ACKNOWLEDGMENT;403
7.7.8;REFERENCES;403
7.8;WEB 2.0 FOR GRIDS AND E-SCIENCE;406
7.8.1;1. INTRODUCTION: BROADENING THE DEFINITION OF GRID COMPUTING;406
7.8.1.1;1.1 KeyWeb 2.0 Concepts;408
7.8.2;2. CHEMICAL INFORMATICS AND WEB 2.0;409
7.8.2.1;2.1 R Statistical Services and Community Models;410
7.8.2.2;2.2 Databases and Data Handling;411
7.8.2.3;2.3 Workflows and Mashups;412
7.8.2.4;2.4 User Interfaces;413
7.8.3;3. SCIENTIFIC INSTRUMENTS AND WEB 2.0 ;413
7.8.3.1;3.1 Online Instruments and Services;413
7.8.3.2;3.2 CIMA Service Architecture;415
7.8.3.3;3.3 REST Services for Instruments;416
7.8.3.4;3.4 Portals for CIMA Instruments;417
7.8.3.5;3.5 Research Opportunities for Real-Time Instruments;418
7.8.4;4. FEDERATING ONLINE DIGITAL ENTITIES;418
7.8.4.1;4.1 Managing State in Distributed Digital Entities;418
7.8.4.2;4.2 Authentication and Authorization Issues;422
7.8.4.3;4.3 Access Rights;422
7.8.5;5. RESEARCHER TAGGING AND MATCHMAKING;424
7.8.6;6. CONCLUSIONS;426
7.8.7;ACKNOWLEDGMENTS;426
7.8.8;REFERENCES;427
8;Applications;429
8.1;INT.EU.GRID PROJECT APPROACH ON SUPPORTING INTERACTIVE APPLICATIONS IN THE GRID ENVIRONMENT;430
8.1.1;1. INTRODUCTION;431
8.1.2;2. ARCHITECTURE OVERVIEW;431
8.1.3;3. INTERACTIVE GRID SERVICES;433
8.1.4;4. INTERACTIVE APPLICATION EXAMPLE USAGE - FUSION APPLICATION USE CASE;435
8.1.4.1;4.1 Selected Application - Computation and Visualization of Plasma Particles in Fusion Devices;435
8.1.4.2;4.2 Proposed Use Case;436
8.1.5;5. RELATED WORK;438
8.1.6;6. CONCLUSIONS;439
8.1.7;REFERENCES;440
8.2;APPLICATION OF PERFSONAR ARCHITECTURE IN SUPPORT OF GRID MONITORING;441
8.2.1;1. INTRODUCTION;441
8.2.2;2. PERFSONAR OVERVIEW;442
8.2.3;3. MONITORING FRAMEWORK;443
8.2.4;4. GRID PERSPECTIVE;444
8.2.5;5. PROTOTYPICAL IMPLEMENTATION;446
8.2.6;6. CONCLUSIONS;447
8.2.7;ACKNOWLEDGMENT;447
8.2.8;REFERENCES;447
8.3;NETWORK EMULATION ON GLOBUS- BASED GRIDS: MECHANISMS AND CHALLENGES;449
8.3.1;1. INTRODUCTION;449
8.3.2;2. RESOURCE VIRTUALIZATION TECHNIQUES;451
8.3.3;3. THE NEPTUNE EMULATION SYSTEM;452
8.3.4;4. USE OF VIRTUALIZATION IN EMULATION SYSTEMS;453
8.3.4.1;4.1 Node Multiplexing;454
8.3.4.2;4.2 Link Multiplexing;454
8.3.5;5. NETWORK EMULATION AS AN ON-DEMAND GRID APPLICATION;457
8.3.5.1;5.1 Virtual Workspaces in the Grid;458
8.3.5.2;5.2 NEPTUNE as a VirtualWorkspace;459
8.3.6;6. CONCLUSIONS;460
8.3.7;ACKNOWLEDGMENTS;461
8.3.8;REFERENCES;461
8.4;FOOD ENGINEERING INSTRUMENTATION ON LEMDISTWORKSPACE;463
8.4.1;1. INTRODUCTION;463
8.4.1.1;1.1 LEMDist Architecture;464
8.4.2;2. REMOTE ACCESS TO LABORATORY EQUIPMENT USING GLITE MIDDLEWARE;465
8.4.2.1;2.1 Application to Freezing Process in Food Engineering;466
8.4.2.2;2.2 Interoperability Requirements;468
8.4.3;3. CONCLUSIONS;471
8.4.4;REFERENCES;472
8.5;GRID SERVICES FOR 3D DATA ANALYSIS IN VIRTUAL LABORATORIES;474
8.5.1;1. INTRODUCTION;474
8.5.2;2. ALGORITHMIC COMPONENTS OF GRISO ;476
8.5.2.1;2.1 The Pipeline Building Blocks and Configurations;476
8.5.2.2;2.2 The Pipeline Performance;478
8.5.3;3. THE PLIC GS BEHAVIOUR AND ITS USER INTERFACE;480
8.5.4;4. GRISO AND PLIC GS GRID SERVICE INTERFACES;482
8.5.4.1;4.1 The Implementation of GrISO;483
8.5.4.2;4.2 The Implementation of PLIC GS;484
8.5.5;5. GEDA GRID SERVICE AND THE USER INTERFACE;485
8.5.6;6. RELATED WORKS IN GRID ENVIRONMENT;487
8.5.7;7. CONCLUSIONS;489
8.5.8;ACKNOWLEDGMENTS;489
8.5.9;REFERENCES;489
8.6;NEW PROTOTYPE ARCHITECTURE FOR AUTOMATED IRRIGATION BASED ON POWER LINE COMMUNICATIONS;492
8.6.1;1. INTRODUCTION;492
8.6.2;2. THE PROPOSED METHOD;494
8.6.2.1;2.1 Intelligent Irrigation System;494
8.6.2.2;2.2 Sensor Module;497
8.6.3;3. TESTS AND COLLECTION OF EXPERIMENTAL RESULTS;499
8.6.4;4. CONCLUSIONS;501
8.6.5;REFERENCES;501
8.7;THE USE OF PIMA(GE)2 LIBRARY FOR EFFICIENT IMAGE PROCESSING IN A GRID ENVIRONMENT;503
8.7.1;1. INTRODUCTION;503
8.7.2;2. MOVING TOWARD HETEROGENEOUS DYNAMIC IMAGE PROCESSING;505
8.7.3;3. A BRIEF OVERVIEW OF THE PIMA(GE)2 LIB;506
8.7.3.1;3.1 The PIMA(GE)2 Lib Hidden Parallelism;506
8.7.3.2;3.2 Experimental Results;508
8.7.4;4. USING GRID SERVICES TO INTEGRATE PIMA(GE)2 LIB IN A GRID;508
8.7.4.1;4.1 The User Interface and the Functional Description;510
8.7.4.2;4.2 Behavior and General Organization;512
8.7.4.3;4.3 The Performance;514
8.7.5;5. RELATED WORKS;514
8.7.6;6. CONCLUSIONS;515
8.7.7;ACKNOWLEDGMENTS;516
8.7.8;REFERENCES;516
8.8;REMOTE OPERATIONS OF AN ACCELERATOR USING THE GRID;519
8.8.1;1. INTRODUCTION;519
8.8.2;2. THE GRIDCC ARCHITECTURE;521
8.8.3;3. APPLYING GRIDCC TO REMOTE OPERATIONS OF AN ACCELERATOR;522
8.8.4;4. RESULTS;525
8.8.5;5. CONCLUSIONS;527
8.8.6;ACKNOWLEDGMENTS;527
8.8.7;REFERENCES;527
8.9;VLBI USING A SOFTWARE CORRELATOR;529
8.9.1;1. INTRODUCTION;529
8.9.2;2. SOFTWARE CORRELATOR;532
8.9.3;3. CONCLUSIONS;535
8.9.4;REFERENCES;536
8.10;DIGITAL SCIENCE LIBRARY IN REMOTE INSTRUMENTATION SYSTEMS;537
8.10.1;1. INTRODUCTION;537
8.10.2;2. PSNC VIRTUAL LABORATORY;538
8.10.2.1;Workflow in EXPReS;539
8.10.2.2;The Peculiar Nature of the Virtual Laboratory Experiments;540
8.10.3;3. NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY;541
8.10.4;4. DIGITAL LIBRARY;545
8.10.4.1;The Functionality of the Digital Libraries;546
8.10.4.2;Convenient andWidespread Access to Publications;546
8.10.5;5. EXEMPLARY SET OF DATA;547
8.10.5.1;The Use Case Diagrams;547
8.10.6;6. PROJECT DESIGN ASPECTS;549
8.10.7;7. CONCLUSIONS;549
8.10.8;ACKNOWLEDGMENTS;550
8.10.9;REFERENCES;550
8.11;GRID INTEGRATION OF FUTURE ARRAYS OF BROADBAND RADIO-TELESCOPES – MOVING TOWARD E-VLBI;552
8.11.1;1. INTRODUCTION;552
8.11.2;2. THE CURRENT STATUS OF VLBI OPERATIONS;553
8.11.3;3. THE IDEA OF GRID-BASED E-VLBI;555
8.11.4;4. DESIGN LIMITATIONS;556
8.11.5;5. GRID TECHNOLOGY FOR THE E-VLBI CONCEPT;559
8.11.5.1;Security;559
8.11.5.2;Data Transport and Management;560
8.11.6;6. NETWORK MONITORING AND MANAGEMENT;562
8.11.6.1;Network Monitoring;562
8.11.6.2;Quality of Service;563
8.11.7;7. SYSTEM ARCHITECTURE;563
8.11.7.1;Experiment Preparation;564
8.11.7.2;Experiment Set-Up;565
8.11.7.3;Experiment Start;566
8.11.7.4;Distributed Correlation;566
8.11.8;8. CONCLUSIONS;566
8.11.9;ACKNOWLEDGMENTS;567
8.11.10;REFERENCES;567
8.12;USING THE GRID FOR THE INTERACTIVE WORKFLOW MANAGEMENT IN BIOMEDICINE;569
8.12.1;1. INTRODUCTION;569
8.12.2;2. MATERIALS AND METHODS;571
8.12.3;3. A CASE STUDY;574
8.12.4;4. CONCLUSIONS;577
8.12.5;ACKNOWLEDGMENTS;577
8.12.6;REFERENCES;577
9;AUTHOR INDEX;579
10;SUBJECT INDEX;580