Fog and edge computing : principles and paradigms

Fog and edge computing principles and paradigms

A comprehensive guide to Fog and Edge applications, architectures, and technologies Recent years have seen the explosive growth of the Internet of Things "IoT": the internet- connected network of devices that includes everything from personal electronics and home appliances to automobiles...

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Detalles Bibliográficos
Otros Autores: Buyya, Rajkumar, 1970- editor (editor), Srirama, Satish Narayana, 1978- editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, Inc 2019.
Edición:1st edition
Colección:Wiley series on parallel and distributed computing.
Materias:
Cloud computing.
Electronic data processing > Distributed processing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630651706719
Tabla de Contenidos:
  • List of Contributors xix
  • Preface xxiii
  • Acknowledgments xxvii
  • Part I Foundations 1
  • 1 Internet of Things (IoT) and New Computing Paradigms 3 / Chii Chang, Satish Narayana Srirama, and Rajkumar Buyya
  • 1.1 Introduction 3
  • 1.2 Relevant Technologies 6
  • 1.3 Fog and Edge Computing Completing the Cloud 8
  • 1.3.1 Advantages of FEC: SCALE 8
  • 1.3.2 How FEC AchievesThese Advantages: SCANC 9
  • 1.4 Hierarchy of Fog and Edge Computing 13
  • 1.5 Business Models 16
  • 1.6 Opportunities and Challenges 17
  • 1.7 Conclusions 20
  • References 21
  • 2 Addressing the Challenges in Federating Edge Resources 25 / Ahmet Cihat Baktir, Cagatay Sonmez, CemErsoy, Atay Ozgovde, and Blesson Varghese
  • 2.1 Introduction 25
  • 2.2 The Networking Challenge 27
  • 2.3 The Management Challenge 34
  • 2.4 Miscellaneous Challenges 40
  • 2.5 Conclusions 45
  • References 45
  • 3 Integrating IoT + Fog + Cloud Infrastructures: System Modeling and Research Challenges 51 / Guto Leoni Santos,Matheus Ferreira, Leylane Ferreira, Judith Kelner, Djamel Sadok, Edison Albuquerque, Theo Lynn, and Patricia Takako Endo
  • 3.1 Introduction 51
  • 3.2 Methodology 52
  • 3.3 Integrated C2F2T Literature by Modeling Technique 55
  • 3.4 Integrated C2F2T Literature by Use-Case Scenarios 65
  • 3.5 Integrated C2F2T Literature by Metrics 68
  • 3.6 Future Research Directions 72
  • 3.7 Conclusions 73
  • Acknowledgments 74
  • References 75
  • 4 Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds 79 / Adel Nadjaran Toosi, RedowanMahmud, Qinghua Chi, and Rajkumar Buyya
  • 4.1 Introduction 79
  • 4.2 Background 80
  • 4.3 Network Slicing in 5G 83
  • 4.4 Network Slicing in Software-Defined Clouds 87
  • 4.5 Network Slicing Management in Edge and Fog 91
  • 4.6 Future Research Directions 93
  • 4.7 Conclusions 96
  • Acknowledgments 96
  • References 96
  • 5 Optimization Problems in Fog and Edge Computing 103 / Zoltán Ádám Mann
  • 5.1 Introduction 103
  • 5.2 Background / RelatedWork 104.
  • 5.3 Preliminaries 105
  • 5.4 The Case for Optimization in Fog Computing 107
  • 5.5 Formal Modeling Framework for Fog Computing 108
  • 5.6 Metrics 109
  • 5.6.5 Further Quality Attributes 112
  • 5.7 Optimization Opportunities along the Fog Architecture 113
  • 5.8 Optimization Opportunities along the Service Life Cycle 114
  • 5.9 Toward a Taxonomy of Optimization Problems in Fog Computing 115
  • 5.10 Optimization Techniques 117
  • 5.11 Future Research Directions 118
  • 5.12 Conclusions 119
  • Acknowledgments 119
  • References 119
  • Part II Middlewares 123
  • 6 Middleware for Fog and Edge Computing: Design Issues 125 / Madhurima Pore, Vinaya Chakati, Ayan Banerjee, and Sandeep K. S. Gupta
  • 6.1 Introduction 125
  • 6.2 Need for Fog and Edge Computing Middleware 126
  • 6.3 Design Goals 126
  • 6.4 State-of-the-Art Middleware Infrastructures 128
  • 6.5 System Model 129
  • 6.6 Proposed Architecture 131
  • 6.7 Case Study Example 136
  • 6.8 Future Research Directions 137
  • 6.9 Conclusions 139
  • References 139
  • 7 A Lightweight Container Middleware for Edge Cloud Architectures 145 / David von Leon, LorenzoMiori, Julian Sanin, Nabil El Ioini, Sven Helmer, and Claus Pahl
  • 7.1 Introduction 145
  • 7.2 Background/RelatedWork 146
  • 7.3 Clusters for Lightweight Edge Clouds 149
  • 7.4 Architecture Management - Storage and Orchestration 152
  • 7.5 IoT Integration 159
  • 7.6 Security Management for Edge Cloud Architectures 159
  • 7.7 Future Research Directions 165
  • 7.8 Conclusions 166
  • References 167
  • 8 Data Management in Fog Computing 171 / Tina Samizadeh Nikoui, Amir Masoud Rahmani, and Hooman Tabarsaied
  • 8.1 Introduction 171
  • 8.2 Background 172
  • 8.3 Fog Data Management 174
  • 8.4 Future Research and Direction 186
  • 8.5 Conclusions 186
  • References 188
  • 9 Predictive Analysis to Support Fog Application Deployment 191 / Antonio Brogi, Stefano Forti, and Ahmad Ibrahim
  • 9.1 Introduction 191
  • 9.2 Motivating Example: Smart Building 193
  • 9.3 Predictive Analysis with FogTorch 197.
  • 9.4 Motivating Example (continued) 206
  • 9.5 Related Work 207
  • 9.6 Future Research Directions 214
  • 9.7 Conclusions 216
  • References 217
  • 10 Using Machine Learning for Protecting the Security and Privacy of Internet of Things (IoT) Systems 223 / Melody Moh and Robinson Raju
  • 10.1 Introduction 223
  • 10.2 Background 234
  • 10.3 Survey of ML Techniques for Defending IoT Devices 242
  • 10.4 Machine Learning in Fog Computing 248
  • 10.4.1 Introduction 248
  • 10.5 Future Research Directions 252
  • 10.6 Conclusions 252
  • References 253
  • Part III Applications and Issues 259
  • 11 Fog Computing Realization for Big Data Analytics 261 / Farhad Mehdipour, Bahman Javadi, AniketMahanti, and Guillermo Ramirez-Prado
  • 11.1 Introduction 261
  • 11.2 Big Data Analytics 262
  • 11.3 Data Analytics in the Fog 267
  • 11.4 Prototypes and Evaluation 272
  • 11.4.1 Architecture 272
  • 11.4.2 Configurations 274
  • 11.5 Case Studies 277
  • 11.6 Related Work 282
  • 11.7 Future Research Directions 287
  • 11.8 Conclusions 287
  • References 288
  • 12 Exploiting Fog Computing in Health Monitoring 291 / Tuan Nguyen Gia and Mingzhe Jiang
  • 12.1 Introduction 291
  • 12.2 An Architecture of a Health Monitoring IoT-Based System with Fog Computing 293
  • 12.3 Fog Computing Services in Smart E-Health Gateways 297
  • 12.4 System Implementation 304
  • 12.5 Case Studies, Experimental Results, and Evaluation 308
  • 12.6 Discussion of Connected Components 313
  • 12.7 Related Applications in Fog Computing 313
  • 12.8 Future Research Directions 314
  • 12.9 Conclusions 314
  • References 315
  • 13 Smart Surveillance Video Stream Processing at the Edge for Real-Time Human Objects Tracking 319 / Seyed Yahya Nikouei, Ronghua Xu, and Yu Chen
  • 13.1 Introduction 319
  • 13.2 Human Object Detection 320
  • 13.3 Object Tracking 327
  • 13.4 Lightweight Human Detection 335
  • 13.5 Case Study 337
  • 13.6 Future Research Directions 342
  • 13.7 Conclusions 343
  • References 343
  • 14 Fog Computing Model for Evolving Smart Transportation Applications 347 / M. Muzakkir Hussain,Mohammad Saad Alam, and M.M. Sufyan Beg.
  • 14.1 Introduction 347
  • 14.2 Data-Driven Intelligent Transportation Systems 348
  • 14.3 Mission-Critical Computing Requirements of Smart Transportation Applications 351
  • 14.4 Fog Computing for Smart Transportation Applications 354
  • 14.5 Case Study: Intelligent Traffic Lights Management (ITLM) System 359
  • 14.6 Fog Orchestration Challenges and Future Directions 362
  • 14.7 Future Research Directions 364
  • 14.8 Conclusions 369
  • References 370
  • 15 Testing Perspectives of Fog-Based IoT Applications 373 / Priyanka Chawla and Rohit Chawla
  • 15.1 Introduction 373
  • 15.2 Background 374
  • 15.3 Testing Perspectives 376
  • 15.4 Future Research Directions 393
  • 15.5 Conclusions 405
  • References 406
  • 16 Legal Aspects of Operating IoT Applications in the Fog 411 / G. Gultekin Varkonyi, Sz. Varadi, and Attila Kertesz
  • 16.1 Introduction 411
  • 16.2 RelatedWork 412
  • 16.3 Classification of Fog/Edge/IoT Applications 413
  • 16.4 Restrictions of the GDPR Affecting Cloud, Fog, and IoT Applications 414
  • 16.5 Data Protection by Design Principles 425
  • 16.6 Future Research Directions 430
  • 16.7 Conclusions 430
  • Acknowledgment 431
  • References 431
  • 17 Modeling and Simulation of Fog and Edge Computing Environments Using iFogSim Toolkit 433 / Redowan Mahmud and Rajkumar Buyya
  • 17.1 Introduction 433
  • 17.2 iFogSim Simulator and Its Components 435
  • 17.3 Installation of iFogSim 436
  • 17.4 Building Simulation with iFogSim 437
  • 17.5 Example Scenarios 438
  • 17.6 Simulation of a Placement Policy 450
  • 17.7 A Case Study in Smart Healthcare 461
  • 17.8 Conclusions 463
  • References 464
  • Index 467.

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