1.0 EXECUTIVE SUMMARY
2.0 INTRODUCTION
2.1 WHAT IS FOG COMPUTING?
2.2 CLOSELY RELATED: MOBILE EDGE COMPUTING
2.3 CLOUD COMPUTING VS. FOG COMPUTING
2.4 WHY FOG COMPUTING FOR IOT?
3.0 FOG COMPUTING CHALLENGES
3.1 NEW PRIVACY AND SECURITY CONCERNS
3.2 NEW DATA MANAGEMENT ISSUES
4.0 MORE ON FOG COMPUTING AND IOT
4.1 DISTRIBUTED OBJECTS, ASSETS, AND APPLICATIONS
4.2 DISTRIBUTED DATA CAPTURE AND DECISION MAKING
5.0 MORE ON FOG COMPUTING, BIG DATA, AND ANALYTICS
5.1 CENTRALIZED VS. DISTRIBUTED DATA AND PROCESSING
5.1.1 WHAT DATA, WHERE, AND WHY?
5.1.2 TRADE OFFS AND COST/BENEFIT
5.2 DATA VIRTUALIZATION
5.3 EDGE DATA PROCESSING AND ANALYTICS
6.0 FOG COMPUTING SOLUTION PROVIDERS
6.1 KEY TECHNOLOGY PROVIDERS
6.2 FOG COMPUTING SOLUTIONS
7.0 FOG COMPUTING INDUSTRY GROUPS
7.1 OPENFOG
7.2 IOT RELATED GROUPS
8.0 FOG COMPUTING FORECAST
9.0 SUMMARY AND RECOMMENDATIONS

Figures

Figure 1: Fog Computing
Figure 2: Cloud Computing and Fog Computing
Figure 3: Fog Computing in IoT
Figure 3: Smart Objects in Physical Environment
Figure 4: New Data Management Issues with Fog Computing
Figure 5: Data Virtualization
Figure 6: Big Data Analytics in IoT
Figure 7: The Fog Computing Cloud Layer

Tables

Table 1: Fog Computing by Market Vertical to 2025