Detailed Course Outline
Module 1: Fog Computing and the Marketplace
Objective: Understanding the drivers across multiple industries, with use cases described from energy and power grid to air crafts and construction.
- Fog Computing for Energy & the Power Grid: Generation, Distribution and Smart Metering use cases)
- Fog Computing for Oil and Gas: Pipeline and Oil Well Monitoring and Control
- Wind and Solar Farm Use Cases
- Mining use Cases
- Manufacturing Use Cases
- Robotics Use Cases
- Construction and Crane Use Cases
- Transportation Use Cases (Air, Rail, Smart City, Buses, Urban Environments and Traffic Management)
- Physical Asset Management
- Surveillance and Security System Use Cases
- Water System Use Cases: Collection, Purification, Distribution, and Consumption.
Module 2: Fog Computing Technology and Scope
Objective: Understanding the technological landscape of the Internet of Things in the Enterprise
- Consumer IoT: Cloud-connected Mobile devices and Personal Sensors
- Enterprise IoT and Fog Compute Models
- Types of Things: Sensors, Activators and SCADA Systems
- Industrial Networks, Protocols
- Industrial Modernization: Opportunities and Requirements driving IP Network adoption
Module 3: Fog Computing and Business Outcomes for Enterprise IoT
Objective: Detailing the Business Outcomes and Challenges driving Fog Computing Models
- Industrial IoT Business Objectives: Efficiency of Equipment and of Operations
- Challenges of Limited Bandwidth, Latency concerns, Network reliability and cost models
Module 4: High Level Overview of Fog / Cloud Architecture
Objective: Defining the High level Architectural requirements for implementing Fog Compute Solutions.
- Cloud Architecture and Limitations
- Fog Architecture High Level
- Designing at the Edge: the client, control and configuration, measurement & control signaling, resource pooling and caching
- Applications in the Fog: Data Collection, local (edge) use, central (Cloud) use
Module 5: The Cisco Fog Computing Solution
Objective: Understanding the Cisco Fog Computing Architecture and Portfolio
- High Level Cisco Fog Infrastructure
- IOx Architecture
- The Cisco Fog Compute Platform: Hardened edge servers, Embedded Compute, Embedded Storage, Accessible Interfaces and Application Enablement
- The IOx SDK
- Application management and Security
- Sensors and End Point: Bringing intelligence and connectivity to legacy unconnected devices
- Cisco Fog-Ready Portfolio: Cisco 819, Cisco Grid Connected Router 1120 and 1240
- Infrastructure Components for a Fog Compute Solution BOM including UCS components
- Fog Services – Data Acquisition and Transformation
- Big Data and Cisco Fog Computing Solutions
- Cisco Data In Motion (DMo):
- Information Processing, Data acquisition and transformation, Event Detection and Aggregation
- Rules-based Normalization and Dynamic Sensor Polling
- Understanding Unstructured Data
- Publisher Subscriber API
- Rules and Pattern based Filtering
- Data in Motion Use Cases
- Data reduction and compression
- Sensor virtualization
- Plug and Play
- Data in Motion Model (D3 Model)
- Cisco Fog Computing and Security
- Cisco Fog Compute Application Market Place
- Applications, Hypervisors and VMs in a Cisco Grid Connected Router (CGR)
- IOx on the Cisco Grid Router
- Applications on IOx