PART Ⅰ： Resource Management in Edge & Fog Computing
1 Steiner Tree based Optimal Resource Caching Scheme in Fog Computing 1
1.1 Introduction 1
1.2 Related work 3
1.3 Problem formulation 4
1.4 Algorithm design 5
1.5 Running illustration 6
1.6 Numerical simulation 8
1.7 Conclusion 9
References 10
2 Hypergraph Based Radio Resource Management in 5G Fog Cell 12
2.1 Introduction 12
2.2 Related work 14
2.3 Network architecture of fog computing in 5G 14
2.4 Radio resource management of hypergraph partitioning in 5G Fog Cell 17
2.4.1 Task model 17
2.4.2 Hypergraph model of 5G Fog Cell resource pool 18
2.4.3 Hypergraph cluster and resource allocation 19
2.5 Numerical simulation 21
2.6 Conclusion 22
References 23
.........
18.1 Introduction 274
18.2 Background materials 275
18.2.1 Fruit fly optimization algorithm FOA 275
18.2.2 Support vector machine SVM 278
18.3 The proposed methodology 279
18.3.1 Process of image restoration processing 279
18.3.2 Optimization algorithm of TFOA based on LSSVR 280
18.4 Experiment and application 281
18.4.1 Parameter optimization analysis of TFOA 281
18.4.2 Image restoration analysis of LSSVM- TFOA 292
18.5 Conclusion 294
References 295
內容試閱：
In the big data era, enormous amount of data is produced, which cannot be absolutely processed by the cloud computing. Edge & Fog Computing paradigm is proposed to deal with the data at network edge, which brings lots of advantages comparing with cloud computing, e. g., serving time delay saving, core bandwidth consumption saving, mobility supporting.
The main goal of this book is sharing the recent achievements of Edge & Fog Computing in our lab. It contains three parts. In the first part, we focus on the resource management in Edge & Fog Computing including Resource Caching Scheme in Fog Computing, Radio Resource Management in 5G Fog Cell, Transmission of Malware in Fog Computing, Incentive to Contribute Resource-based Crowd funding in Fog Computing, Resource Scheduling Scheme in Fog Computing, Resource sharing Model in Fog Computing, and Fair Resource Allocation in IDS for Edge Computing. In the second part, we introduce the security management in Edge & Fog Computing including Security Model in Fog Computing, Node State Monitoring Scheme in Fog Computing, IDS Model in Fog Computing, Key Management Scheme in Fog Computing, Intrusion Response Strategy in Fog Computing, Intrusion Detection in Fog Computing, and Security Mechanism in Fog Computing. In the third part, we propose some applications of Edge & Fog Computing. They are Real-time Fast Bi-dimensional Empirical Mode Decomposition, Resource Management Scheme in Vehicular Social Edge Computing, and Real-time Image Restoration in Edge Computing.
We wish that this book can shed some light on the investigation of Edge & Fog Computing theory.
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