Internet of Things: principles and paradigms
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1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Amsterdam ; Boston ; Heidelberg
Morgan Kaufmann
2016
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Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | xxiii, 354 Seiten Illustrationen, Diagramme |
ISBN: | 9780128053959 |
Internformat
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Datensatz im Suchindex
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Contents
List of Contributors.XV
About the Editors.xix
Preface.xxi
Acknowledgments.xxiii
PART I lot ECOSYSTEM CONCEPTS AND ARCHITECTURES_
CHAPTER 1 Internet nf Things: An Overview.3
F. Khodadadi, A. V. Dastjerdi, R. Buyya
1.1 Introduction.3
1.2 Internet of Things Definition Evolution.5
1.2.1 IoT Emergence. 5
1.2.2 Internet of Everything.5
1.2.3 Industrial IoT.5
1.2.4 Smartness in IoT.5
1.2.5 Market Share.6
1.2.6 Human in the Loop.7
1.2.7 Improving the Quality of Life.7
1.3 IoT Architectures. 7
1.3.1 SOA-Based Architecture.8
1.3.2 API-Oriented Architecture.9
1.4 Resource Management.10
1.4.1 Resource Partitioning.10
1.4.2 Computation Offloading.11
1.4.3 Identification and Resource/Service Discovery.12
1.5 IoT Data Management and Analytics.12
1.5.1 IoT and the Cloud.13
1.5.2 Real-Time Analytics in IoT and Fog Computing.14
1.6 Communication Protocols.15
1.6.1 Network Layer.16
1.6.2 Transport and Application Layer.16
1.7 Internet of Things Applications.18
1.7.1 Monitoring and Actuating.18
1.7.2 Business Process and Data Analysis.19
1.7.3 Information Gathering and Collaborative Consumption.19
1.8 Security.19
1.9 Identity Management and Authentication.21
j
\ V
vi Contents
1.10 Privacy.21
1-11 Standardization and Regulatory Limitations.22
1.12 Conclusions.22
References.23
CHAPTER 2 Open Source Semantic Web Infrastructure for Managing loT
Resources in the Cloud.29
N.Kefalakis, S. Petris, C. Georgoulis, J. Soldatos
2.1 Introduction.29
2.2 Background/Related Work.30
2.3 OpenloT Architecture for IoT/CIoud Convergence.32
2.4 Scheduling Process and IoT Services Lifecycle.35
2.5 Scheduling and Resource Management.41
2.6 Validating Applications and Use Cases.45
2.7 Future Research Directions.46
2.8 Conclusions.46
References.47
CHAPTER 3 Device/Cloud Collaboration Framework
for Intelligence Applications.49
Y. Yoon, D. Ban, S. Han, D. An, E. Heo
3.1 Introduction.49
3.2 Background and Related Work.49
3.3 Device/Cloud Collaboration Framework.50
3.3.1 Powerful Smart Mobile Devices.50
3.3.2 Runtime Adaptation Engine.51
3.3.3 Privacy-Protection Solution.52
3.4 Applications of Device/Cloud Collaboration.54
3.4.1 Context-Aware Proactive Suggestion.54
3.4.2 Semantic QA Cache.56
3.4.3 Image and Speech Recognition.57
3.5 Future Work.59
3.6 Conclusions.59
References.59
CHAPTER 4 Fog Computing: Principles, Architectures, and Applications.6i
A.V. Dastjerdi, H. Gupta, R.N. Calheiros, S.K. Ghosh, R. Buyya
4.1 Introduction.61
4.2 Motivating Scenario .62
4.3 Definitions and Characteristics.63
Contents vii
4.4 Reference Architecture.64
4.5 Applications.66
4.5.1 Healthcare.66
4.5.2 Augmented Reality.66
4.5.3 Caching and Preprocessing.68
4.6 Research Directions and Enablers.68
4.6.1 Programming Models.68
4.6.2 Security and Reliability.69
4.6.3 Resource Management.69
4.6.4 Energy Minimization.70
4.7 Commercial Products.70
4.7.1 Cisco IOx.70
4.7.2 Data in Motion.71
4.7.3 LocalGrid.71
4.7.4 ParStream.71
4.7.5 Prismtech Vortex.71
4.8 Case Study.72
4.8.1 Experiment Setup.73
4.8.2 Performance Evaluation.73
4.9 Conclusions.74
References.75
PART II loT ENABLERS AND SOLUTIONS_
CHAPTER 5 Programming Frameworks for Internet of Things.79
J. Krishnamurthy, M. Maheswaran
5.1 Introduction.79
5.2 Background.80
5.2.1 Overview.80
5.2.2 Embedded Device Programming Languages.80
5.2.3 Message Passing in Devices.83
5.2.4 Coordination Languages.87
5.2.5 Polyglot Programming.89
5.3 Survey of IoT Programming Frameworks.91
5.3.1 Overview. 91
5.3.2 IoT Programming Approaches.91
5.3.3 Existing IoT Frameworks.92
5.3.4 Summary.98
5.4 Future Research Directions.100
5.5 Conclusions.100
References.101
viii Contents
CHAPTER 6 Virtualization on Embedded Boards as Enabling
Technology for the Cloud of Things.103
B. Bardhi, A. Claudi, L. Spalazzi, G. Taccari, L. Taccari
6.1 Introduction.103
6.2 Background.105
6.2.1 ARM Virtualization Extensions.107
6.2.2 XEN ARM Virtualization.108
6.2.3 KVM ARM Virtualization.108
6.2.4 Container-Based Virtualization.109
6.3 Virtualization and Real-Time.110
6.4 Experimental Results.112
6.4.1 Reference Architecture.112
6.4.2 Benchmarking Tools.113
6.4.3 Discussion.113
6.5 Future Research Directions.121
6.6 Conclusions.122
References.122
CHAPTER 7 Micro Virtual Machines (MicroVMs) for Cloud-Assisted
Cyber-Physical Systems (CPS).125
J. V. Pradilla, C.E. Palau
7.1 Introduction.125
7.2 Related Work.128
7.2.1 Virtual Machines and Micro Virtual Machines.128
7.2.2 Other Architectures.129
7.3 Architecture for Deploying CPS in the Cloud and the Expansion of the IoT.130
7.4 Extending the Possibilities of the IoT by Cloud Computing.132
7.5 Micro Virtual Machines with the Sensor Observation Service,
the Path Between Smart Objects and CPS.133
7.5.1 Virtual Machines and Sensor Observation Service.133
7.5.2 Implementation.135
7.6 IoT Architecture for Selected Use Cases.135
7.6.1 eHealth.136
7.6.2 Precision Agriculture.137
7.6.3 Domotic.139
7.7 Future Research Directions.140
7.8 Conclusions.140
References.141
Contents
IX
PART HI loT DATA AND KNOWLEDGE MANAGEMENT_
CHAPTER 8 Stream Processing in loT: Foundations, State-of-the-Art,
and Future Directions.145
X. Liu, A. V.Dastjerdi, R. Buyya
8.1 Introduction.145
8.2 The Foundations of Stream Processing in IoT.147
8.2.1 Stream.148
8.2.2 Stream Processing.148
8.2.3 The Characteristics of Stream Data in IoT.151
8.2.4 The General Architecture of a Stream-Processing
System in IoT.153
8.3 Continuous Logic Processing System.155
8.4 Challenges and Future Directions.157
8.4.1 Scalability.157
8.4.2 Robustness.159
8.4.3 SLA-Compliance.159
8.4.4 Load Balancing.159
8.5 Conclusions.159
References.160
CHAPTER 9 A Framework for Distributed Data Analysis
for IoT.163
M. Moshtaghi, C. Leckie, S. Karunasekera
9.1 Introduction.163
9.2 Preliminaries.163
9.3 Anomaly Detection.165
9.4 Problem Statement and Definitions.168
9.4.1 Hyperellipsoidal Anomaly Detection.168
9.5 Distributed Anomaly Detection.169
9.5.1 Clustering Ellipsoids.169
9.5.2 Experimental Results.172
9.6 Efficient Incremental Local Modeling.173
9.6.1 Incremental Updates.:.175
9.6.2 Implementation of Incremental Updates.176
9.6.3 Experimental Results.176
9.7 Summary.178
References.178
x Contents
PART IV loT RELIABILITY, SECURITY, AND PRIVACY_
CHAPTER 10 Security and Privacy in the Internet of Things.ա
V.Chellappan, K.M. Sivalingam
10.1 Concepts.183
10.1.1 IoT Reference Model.184
10.1.2 IoT Security Threats.185
10.1.3 IoT Security Requirements.185
10.2 IoT Security Overview.188
10.2.1 IoT Protocols.188
10.2.2 Network and Transport Layer Challenges.189
10.2.3 IoT Gateways and Security.190
10.2.4 IoT Routing Attacks.190
10.2.5 B ootstrapping and Authentication.192
10.2.6 Authorization Mechanisms.192
10.2.7 IoT OAS.193
10.3 Security Frameworks for IoT.193
10.3.1 Light Weight Cryptography.194
10.3.2 Asymmetric LWC Algorithms.195
10.3.3 Key Agreement, Distribution, and B ootstrapping.195
10.4 Privacy in IoT Networks.196
10.4.1 Secure Data Aggregation.196
10.4.2 Enigma.197
10.4.3 Zero Knowledge Protocols.197
10.4.4 Privacy in Beacons.197
10.5 Summary and Conclusions.198
References.199
CHAPTER 11 Internet of Things—Robustness and Reliability.201
S. Sarkar
11.1 Introduction.201
11.2 IoT Characteristics and Reliability Issues.202
11.2.1 IoT Architecture in Brief.202
11.2.2 Failure Scenarios.204
11.2.3 Reliability Challenges.205
11.2.4 Privacy and Reliability.207
11.2.5 Interoperability of Devices.207
11.2.6 Reliability Issues Due to Energy Constraint.207
11.3 Addressing Reliability.208
11.3.1 Nullifying Impact of Fault.208
Contents xi
11.3.2 Error Detection.211
11.3.3 Fault Prevention.213
References.216
CHAPTER 12 Governing Internet of Things: Issues, Approaches,
and New Paradigms.219
M. Maheswaran, S. Misra
12.1 Introduction.219
12.2 Background and Related Work.221
12.2.1 Overview.221
12.2.2 Background.221
12.2.3 Related Work.226
12.3 IoT Governance.228
12.3.1 Overview.228
12.3.2 An Integrated Governance Idea.229
12.3.3 Governance Models.229
12.3.4 Important Governance Issues.229
12.3.5 Existing Approaches.230
12.3.6 New Paradigms.233
12.4 Future Research Directions.234
12.5 Conclusions.235
References.236
CHAPTER 13 TinyTO: Two-Way Authentication for Constrained
Devices in the Internet of Things.239
C. Schmitt, M. Noack, B. Stiller
13.1 Introduction.239
13.2 Security Aspects and Solutions.241
13.3 Design Decisions.243
13.4 Tiny TO Protocol.245
13.4.1 Possible Flandshake Protocol Candidates.245
13.4.2 BCK with Preshared Keys for TinyTO.246
13.4.3 Handshake Implementation.249
13.5 Evaluation.'.250
13.5.1 Memory Consumption.250
13.5.2 Runtime Performance.251
13.5.3 Energy Consumption.252
13.6 Summary.255
References.255
xii Contents
CHAPTER 14 Obfuscation and Diversification for Securing
the Internet of Things (loT).259
S. Hosseinzadeh, S. Hyrynsalmi, V. Leppänen
14.1 Introduction.259
14.2 Distinguishing Characteristics of IoT.260
14.2.1 Operating Systems and Software in IoT.260
14.2.2 IoT Network Stack and Access Protocols.261
14.2.3 Security and Privacy in IoT.264
14.3 Obfuscation and Diversification Techniques.265
14.4 Enhancing the Security in IoT Using Obfuscation
and Diversification Techniques.267
14.4.1 Motivations and Limitations of the Proposed Ideas.268
14.5 Different Use-Case Scenarios on Software Diversification and Obfuscation.270
14.6 Conclusions and Future Work.271
References.272
PART V IoT APPLICATIONS_
CHAPTER 15 Applied Internet of Things.277
S.J. Johnston, M. Apetroaie-Cristea, M. Scott, S.J. Cox
15.1 Introduction.277
15.2 Scenario.278
15.3 Architecture Overview.278
15.3.1 Sensor to Gateway Communication.279
15.4 Sensors.283
15.5 The Gateway.286
15.5.1 Gateway Hardware.287
15.5.2 Gateway Software.289
15.5.3 Summary.290
15.6 Data Transmission.290
15.6.1 Advanced Message Queuing Protocol.292
15.6.2 Backend Processing.293
15.6.3 To Cloud or not to Cloud.294
15.7 Conclusions.296
References.297
CHAPTER 16 Internet of Vehicles and Applications.299
W. Wu, Z. Yang, K. Li
16.1 Basics of IoV.299
16.1.1 Background and Concept.299
16.1.2 Network Architecture.299
Contents xiii
16.2 Characteristics and Challenges.301
16.2.1 Characteristics of IoV.301
16.2.2 Challenges in IoV.302
16.3 Enabling Technologies.303
16.3.1 MAC Protocols and Standards.303
16.3.2 Routing Protocols.306
16.3.3 Broadcasting and Information Dissemination.307
16.4 Applications.308
16.4.1 Driving Safety Related. 309
16.4.2 Transportation Efficiency Related.310
16.4.3 Infotainment Services.312
16.5 Summary and Future Directions.313
References.314
CHAPTER 17 Cloud-Based Smart-Facilities Management.319
S. Majumdar
17.1 Introduction. 319
17.2 Background and Related Work.320
17.3 A Cloud-Based Architecture for Smart-Facility Management.321
17.4 Middleware Services.323
17.5 Resource Management Techniques for Wireless Sensor Networks.325
17.5.1 Sensor Allocation.326
17.5.2 Request Scheduling.327
17.6 Resource Management Techniques for Supporting Data Analytics.328
17.6.1 Streaming Data Analytics.329
17.7 Case Study: Management of Sensor-Based Bridges.330
17.8 Case Study: Research Collaboration Platform for Management
of Smart Machinery.331
17.9 Conclusions.336
17.9.1 Future Research Directions.336
References.337
Index
341 |
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spellingShingle | Buyya, Rajkumar 1970- Internet of Things principles and paradigms Internet der Dinge (DE-588)7713781-4 gnd |
subject_GND | (DE-588)7713781-4 (DE-588)4143413-4 |
title | Internet of Things principles and paradigms |
title_auth | Internet of Things principles and paradigms |
title_exact_search | Internet of Things principles and paradigms |
title_full | Internet of Things principles and paradigms edited by Rajkumar Buyya (Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University of Melbourne, Australia, Manjrasoft Pty Ltd, Australia) ; Amir Vahid Dastjerdi (Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University of Melbourne, Australia) |
title_fullStr | Internet of Things principles and paradigms edited by Rajkumar Buyya (Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University of Melbourne, Australia, Manjrasoft Pty Ltd, Australia) ; Amir Vahid Dastjerdi (Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University of Melbourne, Australia) |
title_full_unstemmed | Internet of Things principles and paradigms edited by Rajkumar Buyya (Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University of Melbourne, Australia, Manjrasoft Pty Ltd, Australia) ; Amir Vahid Dastjerdi (Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University of Melbourne, Australia) |
title_short | Internet of Things |
title_sort | internet of things principles and paradigms |
title_sub | principles and paradigms |
topic | Internet der Dinge (DE-588)7713781-4 gnd |
topic_facet | Internet der Dinge Aufsatzsammlung |
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