Tabla de Contenidos: “…8.1 Introduction 179 -- 8.2 Scenario and Application 182 -- 8.2.1 Concept Definition 182 -- 8.2.2 Fog-enabled IoT Application 184 -- 8.2.3 Characteristics and Open Challenges 185 -- 8.2.4 Orchestration Requirements 187 -- 8.3 Architecture: A Software-Defined Perspective 188 -- 8.3.1 Solution Overview 188 -- 8.3.2 Software-Defined Architecture 189 -- 8.4 Orchestration 191 -- 8.4.1 Resource Filtering and Assignment 192 -- 8.4.2 Component Selection and Placement 194 -- 8.4.3 Dynamic Orchestration with Runtime QoS 195 -- 8.4.4 Systematic Data-Driven Optimization 196 -- 8.4.5 Machine-Learning for Orchestration 197 -- 8.5 Fog Simulation 198 -- 8.5.1 Overview 198 -- 8.5.2 Simulation for IoT Application in Fog 199 -- 8.5.3 Simulation for Fog Orchestration 201 -- 8.6 Early Experience 202 -- 8.6.1 Simulation-Based Orchestration 202 -- 8.6.2 Orchestration in Container-Based Systems 206 -- 8.7 Discussion 207 -- 8.8 Conclusion 208 -- Acknowledgment 208 -- References 208 -- 9 A Decentralized Adaptation System for QoS Optimization 213 /Nanxi Chen, Fan Li, Gary White, Siobh©Łn Clarke, and Yang Yang -- 9.1 Introduction 213 -- 9.2 State of the Art 217 -- 9.2.1 QoS-aware Service Composition 217 -- 9.2.2 SLA (Re-)negotiation 219 -- 9.2.3 Service Monitoring 221 -- 9.3 Fog Service Delivery Model and AdaptFog 224 -- 9.3.1 AdaptFog Architecture 224 -- 9.3.2 Service Performance Validation 227 -- 9.3.3 Runtime QoS Monitoring 232 -- 9.3.4 Fog-to-Fog Service Level Renegotiation 235 -- 9.4 Conclusion and Open Issues 240 -- References 240 -- 10 Efficient Task Scheduling for Performance Optimization 249 /Yang Yang, Shuang Zhao, Kunlun Wang, and Zening Liu -- 10.1 Introduction 249 -- 10.2 Individual Delay-minimization Task Scheduling 251 -- 10.2.1 System Model 251 -- 10.2.2 Problem Formulation 251 -- 10.2.3 POMT Algorithm 253 -- 10.3 Energy-efficient Task Scheduling 255 -- 10.3.1 Fog Computing Network 255 -- 10.3.2 Medium Access Protocol 257 -- 10.3.3 Energy Efficiency 257 -- 10.3.4 Problem Properties 258.…”

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