{"product_id":"fog-and-edge-computing-9781119524984","title":"Fog and Edge Computing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eA comprehensive guide to Fog and Edge applications, architectures, and technologies\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRecent 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 and industrial machinery. Responding to the ever-increasing bandwidth demands of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data more efficiently than traditional cloud architecture.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eFog and Edge Computing: Principles and Paradigms \u003c\/i\u003eprovides a comprehensive overview of the state-of-the-art applications and architectures driving this dynamic field of computing while highlighting potential research directions and emerging technologies.\u003c\/p\u003e \u003cp\u003eExploring topics such as developing scalable architectures, moving from closed systems to open systems, and ethical issues rising from data sensing, this timely book addresses both the chall\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eList of Contributors xix\u003c\/p\u003e \u003cp\u003ePreface xxiii\u003c\/p\u003e \u003cp\u003eAcknowledgments xxvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Foundations 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Internet of Things (IoT) and New Computing Paradigms 3\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eChii Chang, Satish Narayana Srirama, and Rajkumar Buyya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 3\u003c\/p\u003e \u003cp\u003e1.2 Relevant Technologies 6\u003c\/p\u003e \u003cp\u003e1.3 Fog and Edge Computing Completing the Cloud 8\u003c\/p\u003e \u003cp\u003e1.3.1 Advantages of FEC: SCALE 8\u003c\/p\u003e \u003cp\u003e1.3.2 How FEC AchievesThese Advantages: SCANC 9\u003c\/p\u003e \u003cp\u003e1.4 Hierarchy of Fog and Edge Computing 13\u003c\/p\u003e \u003cp\u003e1.5 Business Models 16\u003c\/p\u003e \u003cp\u003e1.6 Opportunities and Challenges 17\u003c\/p\u003e \u003cp\u003e1.7 Conclusions 20\u003c\/p\u003e \u003cp\u003eReferences 21\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Addressing the Challenges in Federating Edge Resources 25\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAhmet Cihat Baktir, Cagatay Sonmez, CemErsoy, Atay Ozgovde, and Blesson Varghese\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 25\u003c\/p\u003e \u003cp\u003e2.2 The Networking Challenge 27\u003c\/p\u003e \u003cp\u003e2.3 The Management Challenge 34\u003c\/p\u003e \u003cp\u003e2.4 Miscellaneous Challenges 40\u003c\/p\u003e \u003cp\u003e2.5 Conclusions 45\u003c\/p\u003e \u003cp\u003eReferences 45\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Integrating IoT + Fog + Cloud Infrastructures: System Modeling and Research Challenges 51\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGuto Leoni Santos,Matheus Ferreira, Leylane Ferreira, Judith Kelner, Djamel Sadok, Edison Albuquerque, Theo Lynn, and Patricia Takako Endo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 51\u003c\/p\u003e \u003cp\u003e3.2 Methodology 52\u003c\/p\u003e \u003cp\u003e3.3 Integrated C2F2T Literature by Modeling Technique 55\u003c\/p\u003e \u003cp\u003e3.4 Integrated C2F2T Literature by Use-Case Scenarios 65\u003c\/p\u003e \u003cp\u003e3.5 Integrated C2F2T Literature by Metrics 68\u003c\/p\u003e \u003cp\u003e3.6 Future Research Directions 72\u003c\/p\u003e \u003cp\u003e3.7 Conclusions 73\u003c\/p\u003e \u003cp\u003eAcknowledgments 74\u003c\/p\u003e \u003cp\u003eReferences 75\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds 79\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAdel Nadjaran Toosi, RedowanMahmud, Qinghua Chi, and Rajkumar Buyya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 79\u003c\/p\u003e \u003cp\u003e4.2 Background 80\u003c\/p\u003e \u003cp\u003e4.3 Network Slicing in 5G 83\u003c\/p\u003e \u003cp\u003e4.4 Network Slicing in Software-Defined Clouds 87\u003c\/p\u003e \u003cp\u003e4.5 Network Slicing Management in Edge and Fog 91\u003c\/p\u003e \u003cp\u003e4.6 Future Research Directions 93\u003c\/p\u003e \u003cp\u003e4.7 Conclusions 96\u003c\/p\u003e \u003cp\u003eAcknowledgments 96\u003c\/p\u003e \u003cp\u003eReferences 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Optimization Problems in Fog and Edge Computing 103\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eZoltán Ádám Mann\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 103\u003c\/p\u003e \u003cp\u003e5.2 Background \/ RelatedWork 104\u003c\/p\u003e \u003cp\u003e5.3 Preliminaries 105\u003c\/p\u003e \u003cp\u003e5.4 The Case for Optimization in Fog Computing 107\u003c\/p\u003e \u003cp\u003e5.5 Formal Modeling Framework for Fog Computing 108\u003c\/p\u003e \u003cp\u003e5.6 Metrics 109\u003c\/p\u003e \u003cp\u003e5.6.5 Further Quality Attributes 112\u003c\/p\u003e \u003cp\u003e5.7 Optimization Opportunities along the Fog Architecture 113\u003c\/p\u003e \u003cp\u003e5.8 Optimization Opportunities along the Service Life Cycle 114\u003c\/p\u003e \u003cp\u003e5.9 Toward a Taxonomy of Optimization Problems in Fog Computing 115\u003c\/p\u003e \u003cp\u003e5.10 Optimization Techniques 117\u003c\/p\u003e \u003cp\u003e5.11 Future Research Directions 118\u003c\/p\u003e \u003cp\u003e5.12 Conclusions 119\u003c\/p\u003e \u003cp\u003eAcknowledgments 119\u003c\/p\u003e \u003cp\u003eReferences 119\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Middlewares 123\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6 Middleware for Fog and Edge Computing: Design Issues 125\u003cbr\u003e \u003ci\u003eMadhurima Pore, Vinaya Chakati, Ayan Banerjee, and Sandeep K. S. Gupta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 125\u003c\/p\u003e \u003cp\u003e6.2 Need for Fog and Edge Computing Middleware 126\u003c\/p\u003e \u003cp\u003e6.3 Design Goals 126\u003c\/p\u003e \u003cp\u003e6.4 State-of-the-Art Middleware Infrastructures 128\u003c\/p\u003e \u003cp\u003e6.5 System Model 129\u003c\/p\u003e \u003cp\u003e6.6 Proposed Architecture 131\u003c\/p\u003e \u003cp\u003e6.7 Case Study Example 136\u003c\/p\u003e \u003cp\u003e6.8 Future Research Directions 137\u003c\/p\u003e \u003cp\u003e6.9 Conclusions 139\u003c\/p\u003e \u003cp\u003eReferences 139\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 A Lightweight Container Middleware for Edge Cloud Architectures 145\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDavid von Leon, LorenzoMiori, Julian Sanin, Nabil El Ioini, Sven Helmer, and Claus Pahl\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 145\u003c\/p\u003e \u003cp\u003e7.2 Background\/RelatedWork 146\u003c\/p\u003e \u003cp\u003e7.3 Clusters for Lightweight Edge Clouds 149\u003c\/p\u003e \u003cp\u003e7.4 Architecture Management – Storage and Orchestration 152\u003c\/p\u003e \u003cp\u003e7.5 IoT Integration 159\u003c\/p\u003e \u003cp\u003e7.6 Security Management for Edge Cloud Architectures 159\u003c\/p\u003e \u003cp\u003e7.7 Future Research Directions 165\u003c\/p\u003e \u003cp\u003e7.8 Conclusions 166\u003c\/p\u003e \u003cp\u003eReferences 167\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Data Management in Fog Computing 171\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eTina Samizadeh Nikoui, Amir Masoud Rahmani, and Hooman Tabarsaied\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 171\u003c\/p\u003e \u003cp\u003e8.2 Background 172\u003c\/p\u003e \u003cp\u003e8.3 Fog Data Management 174\u003c\/p\u003e \u003cp\u003e8.4 Future Research and Direction 186\u003c\/p\u003e \u003cp\u003e8.5 Conclusions 186\u003c\/p\u003e \u003cp\u003eReferences 188\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Predictive Analysis to Support Fog Application Deployment 191\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAntonio Brogi, Stefano Forti, and Ahmad Ibrahim\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 191\u003c\/p\u003e \u003cp\u003e9.2 Motivating Example: Smart Building 193\u003c\/p\u003e \u003cp\u003e9.3 Predictive Analysis with FogTorch 197\u003c\/p\u003e \u003cp\u003e9.4 Motivating Example (continued) 206\u003c\/p\u003e \u003cp\u003e9.5 Related Work 207\u003c\/p\u003e \u003cp\u003e9.6 Future Research Directions 214\u003c\/p\u003e \u003cp\u003e9.7 Conclusions 216\u003c\/p\u003e \u003cp\u003eReferences 217\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Using Machine Learning for Protecting the Security and Privacy of Internet of Things (IoT) Systems\u003c\/b\u003e 223\u003cbr\u003e \u003ci\u003eMelody Moh and Robinson Raju\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 223\u003c\/p\u003e \u003cp\u003e10.2 Background 234\u003c\/p\u003e \u003cp\u003e10.3 Survey of ML Techniques for Defending IoT Devices 242\u003c\/p\u003e \u003cp\u003e10.4 Machine Learning in Fog Computing 248\u003c\/p\u003e \u003cp\u003e10.4.1 Introduction 248\u003c\/p\u003e \u003cp\u003e10.5 Future Research Directions 252\u003c\/p\u003e \u003cp\u003e10.6 Conclusions 252\u003c\/p\u003e \u003cp\u003eReferences 253\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Applications and Issues 259\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Fog Computing Realization for Big Data Analytics 261\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eFarhad Mehdipour, Bahman Javadi, AniketMahanti, and Guillermo Ramirez-Prado\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 261\u003c\/p\u003e \u003cp\u003e11.2 Big Data Analytics 262\u003c\/p\u003e \u003cp\u003e11.3 Data Analytics in the Fog 267\u003c\/p\u003e \u003cp\u003e11.4 Prototypes and Evaluation 272\u003c\/p\u003e \u003cp\u003e11.4.1 Architecture 272\u003c\/p\u003e \u003cp\u003e11.4.2 Configurations 274\u003c\/p\u003e \u003cp\u003e11.5 Case Studies 277\u003c\/p\u003e \u003cp\u003e11.6 Related Work 282\u003c\/p\u003e \u003cp\u003e11.7 Future Research Directions 287\u003c\/p\u003e \u003cp\u003e11.8 Conclusions 287\u003c\/p\u003e \u003cp\u003eReferences 288\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Exploiting Fog Computing in Health Monitoring 291\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eTuan Nguyen Gia and Mingzhe Jiang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 291\u003c\/p\u003e \u003cp\u003e12.2 An Architecture of a Health Monitoring IoT-Based System with Fog Computing 293\u003c\/p\u003e \u003cp\u003e12.3 Fog Computing Services in Smart E-Health Gateways 297\u003c\/p\u003e \u003cp\u003e12.4 System Implementation 304\u003c\/p\u003e \u003cp\u003e12.5 Case Studies, Experimental Results, and Evaluation 308\u003c\/p\u003e \u003cp\u003e12.6 Discussion of Connected Components 313\u003c\/p\u003e \u003cp\u003e12.7 Related Applications in Fog Computing 313\u003c\/p\u003e \u003cp\u003e12.8 Future Research Directions 314\u003c\/p\u003e \u003cp\u003e12.9 Conclusions 314\u003c\/p\u003e \u003cp\u003eReferences 315\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Smart Surveillance Video Stream Processing at the Edge for Real-Time Human Objects Tracking 319\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSeyed Yahya Nikouei, Ronghua Xu, and Yu Chen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 319\u003c\/p\u003e \u003cp\u003e13.2 Human Object Detection 320\u003c\/p\u003e \u003cp\u003e13.3 Object Tracking 327\u003c\/p\u003e \u003cp\u003e13.4 Lightweight Human Detection 335\u003c\/p\u003e \u003cp\u003e13.5 Case Study 337\u003c\/p\u003e \u003cp\u003e13.6 Future Research Directions 342\u003c\/p\u003e \u003cp\u003e13.7 Conclusions 343\u003c\/p\u003e \u003cp\u003eReferences 343\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Fog Computing Model for Evolving Smart Transportation Applications 347\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eM. Muzakkir Hussain,Mohammad Saad Alam, and M.M. Sufyan Beg\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 347\u003c\/p\u003e \u003cp\u003e14.2 Data-Driven Intelligent Transportation Systems 348\u003c\/p\u003e \u003cp\u003e14.3 Mission-Critical Computing Requirements of Smart Transportation Applications 351\u003c\/p\u003e \u003cp\u003e14.4 Fog Computing for Smart Transportation Applications 354\u003c\/p\u003e \u003cp\u003e14.5 Case Study: Intelligent Traffic Lights Management (ITLM) System 359\u003c\/p\u003e \u003cp\u003e14.6 Fog Orchestration Challenges and Future Directions 362\u003c\/p\u003e \u003cp\u003e14.7 Future Research Directions 364\u003c\/p\u003e \u003cp\u003e14.8 Conclusions 369\u003c\/p\u003e \u003cp\u003eReferences 370\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Testing Perspectives of Fog-Based IoT Applications 373\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePriyanka Chawla and Rohit Chawla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 373\u003c\/p\u003e \u003cp\u003e15.2 Background 374\u003c\/p\u003e \u003cp\u003e15.3 Testing Perspectives 376\u003c\/p\u003e \u003cp\u003e15.4 Future Research Directions 393\u003c\/p\u003e \u003cp\u003e15.5 Conclusions 405\u003c\/p\u003e \u003cp\u003eReferences 406\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Legal Aspects of Operating IoT Applications in the Fog 411\u003cbr\u003e \u003c\/b\u003eG. Gultekin Varkonyi, Sz. Varadi, and Attila Kertesz\u003c\/p\u003e \u003cp\u003e16.1 Introduction 411\u003c\/p\u003e \u003cp\u003e16.2 RelatedWork 412\u003c\/p\u003e \u003cp\u003e16.3 Classification of Fog\/Edge\/IoT Applications 413\u003c\/p\u003e \u003cp\u003e16.4 Restrictions of the GDPR Affecting Cloud, Fog, and IoT Applications 414\u003c\/p\u003e \u003cp\u003e16.5 Data Protection by Design Principles 425\u003c\/p\u003e \u003cp\u003e16.6 Future Research Directions 430\u003c\/p\u003e \u003cp\u003e16.7 Conclusions 430\u003c\/p\u003e \u003cp\u003eAcknowledgment 431\u003c\/p\u003e \u003cp\u003eReferences 431\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Modeling and Simulation of Fog and Edge Computing Environments Using iFogSim Toolkit 433\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRedowan Mahmud and Rajkumar Buyya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 433\u003c\/p\u003e \u003cp\u003e17.2 iFogSim Simulator and Its Components 435\u003c\/p\u003e \u003cp\u003e17.3 Installation of iFogSim 436\u003c\/p\u003e \u003cp\u003e17.4 Building Simulation with iFogSim 437\u003c\/p\u003e \u003cp\u003e17.5 Example Scenarios 438\u003c\/p\u003e \u003cp\u003e17.6 Simulation of a Placement Policy 450\u003c\/p\u003e \u003cp\u003e17.7 A Case Study in Smart Healthcare 461\u003c\/p\u003e \u003cp\u003e17.8 Conclusions 463\u003c\/p\u003e \u003cp\u003eReferences 464\u003c\/p\u003e \u003cp\u003eIndex 467\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407072469335,"sku":"9781119524984","price":98.06,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119524984.jpg?v=1730498078","url":"https:\/\/bookcurl.com\/products\/fog-and-edge-computing-9781119524984","provider":"Book Curl","version":"1.0","type":"link"}