| Description |
1 online resource (515 pages) |
| Contents |
Cover; Title Page; Copyright; Contents; List of Contributors; Preface; Acknowledgments; Part I Foundations; Chapter 1 Internet of Things (IoT) and New Computing Paradigms; 1.1 Introduction; 1.2 Relevant Technologies; 1.3 Fog and Edge Computing Completing the Cloud; 1.3.1 Advantages of FEC: SCALE; 1.3.1.1 Security; 1.3.1.2 Cognition; 1.3.1.3 Agility; 1.3.1.4 Latency; 1.3.1.5 Efficiency; 1.3.2 How FEC Achieves These Advantages: SCANC; 1.3.2.1 Storage; 1.3.2.2 Compute; 1.3.2.3 Acceleration; 1.3.2.4 Networking; 1.3.2.5 Control; 1.4 Hierarchy of Fog and Edge Computing; 1.4.1 Inner-Edge |
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1.4.2 Middle-Edge1.4.2.1 Local Area Network; 1.4.2.2 Cellular Network; 1.4.3 Outer-Edge; 1.4.3.1 Constraint Devices; 1.4.3.2 Integrated Devices; 1.4.3.3 IP Gateway Devices; 1.5 Business Models; 1.5.1 X as a Service; 1.5.2 Support Service; 1.5.3 Application Service; 1.6 Opportunities and Challenges; 1.6.1 Out-of-Box Experience; 1.6.1.1 OOBE-Based Equipment; 1.6.1.2 OOBE-Based Software; 1.6.2 Open Platforms; 1.6.2.1 OpenStack++; 1.6.2.2 WSO2-IoT Server; 1.6.2.3 Apache Edgent; 1.6.3 System Management; 1.6.3.1 Design; 1.6.3.2 Implementation; 1.6.3.3 Adjustment; 1.7 Conclusions; References |
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Chapter 2 Addressing the Challenges in Federating Edge Resources2.1 Introduction; 2.2 The Networking Challenge; 2.2.1 Networking Challenges in a Federated Edge Environment; 2.2.1.1 A Service-Centric Model; 2.2.1.2 Reliability and Service Mobility; 2.2.1.3 Multiple Administrative Domains; 2.2.2 Addressing the Networking Challenge; 2.2.3 Future Research Directions; 2.3 The Management Challenge; 2.3.1 Management Challenges in a Federated Edge Environment; 2.3.1.1 Discovering Edge Resources; 2.3.1.2 Deploying Services and Applications; 2.3.1.3 Migrating Services across the Edge |
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2.3.1.4 Load Balancing2.3.2 Current Research; 2.3.3 Addressing the Management Challenges; 2.3.3.1 Edge-as-a-Service (EaaS) Platform; 2.3.3.2 Edge Node Resource Management (ENORM) Framework; 2.3.4 Future Research Directions; 2.4 Miscellaneous Challenges; 2.4.1 The Research Challenge; 2.4.1.1 Defined Edge Nodes; 2.4.1.2 Unified Architectures to Account for Heterogeneity; 2.4.1.3 Public Usability of Edge Nodes; 2.4.1.4 Interoperability with Communication Networks; 2.4.1.5 Network Slices for Edge Systems; 2.4.2 The Modeling Challenge; 2.4.2.1 Computational Resource Modeling |
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2.4.2.2 Demand Modeling2.4.2.3 Mobility Modeling; 2.4.2.4 Network Modeling; 2.4.2.5 Simulator Efficiency; 2.5 Conclusions; References; Chapter 3 Integrating IoT + Fog + Cloud Infrastructures: System Modeling and Research Challenges; 3.1 Introduction; 3.2 Methodology; 3.3 Integrated C2F2T Literature by Modeling Technique; 3.3.1 Analytical Models; 3.3.2 Petri Net Models; 3.3.3 Integer Linear Programming; 3.3.4 Other Approaches; 3.4 Integrated C2F2T Literature by Use-Case Scenarios; 3.5 Integrated C2F2T Literature by Metrics; 3.5.1 Energy Consumption; 3.5.2 Performance |
| Summary |
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 and industrial machinery. Responding to the ever-increasing bandwidth demands and privacy concerns of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data closer to devices and more efficiently than traditional cloud architecture. Fog and Edge Computing: Principles and Paradigmsprovides 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. Exploring 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 challenges and opportunities that Fog and Edge computing presents. Contributions from leading IoT experts discuss federating Edge resources, middleware design issues, data management and predictive analysis, smart transportation and surveillance applications, and more. A coordinated and integrated presentation of topics helps readers gain thorough knowledge of the foundations, applications, and issues that are central to Fog and Edge computing. This valuable resource: . Discusses IoT and new computing paradigms in the domain such as Fog, Edge and Mist. Provides insights on transitioning from current Cloud-centric and 4G/5G wireless environments to Fog computing. Examines methods to optimize virtualized, pooled, and shared resources. Identifies potential technical challenges and offers suggestions for possible solutions. Discusses major components of Fog and Edge computing architectures such as middleware, interaction protocols, and autonomic management. Includes access to a website portal for advanced online resources Fog and Edge Computing: Principles and Paradigmsis an essential source of up-to-date information for systems architects, developers, researchers, and advanced undergraduate and graduate students in fields of computer science and engineering |
| Notes |
3.5.3 Resource Consumption |
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Print version record |
| Subject |
Cloud computing.
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Electronic data processing -- Distributed processing.
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Cloud computing
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Electronic data processing -- Distributed processing
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| Form |
Electronic book
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| Author |
Srirama, Satish Narayana
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| ISBN |
9781119525011 |
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1119525012 |
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