Cisco Fog Computing Solutions for SEs - FOGSE-WS

Turning Data into Value is the heart of the Internet of Everything. Traditional models of computing, storing and transporting data are being disrupted in order to efficiently and effectively realize this potential. "Cloud Computing" has become a top technical initiative for almost every organization, but there are use cases that don't allow for this model of operation. Fast Lane's Cisco Fog Computing Solutions for SEs provides engineers with a comprehensive look at how Cisco's Fog Computing Solutions provide a unique approach to solving a wide range of business problems, enabling organizations in a variety of sectors to achieve business outcomes never before imagined. Attendees will receive an introduction to the business problems that Cisco Fog Computing Solutions solve, a tour of the related portfolio, an understanding of how Fog Computing Solutions are designed and a motivating review of a wide range of powerful use cases. Finally, SEs will develop an understanding of how to lead customers in Fog Compute discussions, as well as learn how to demonstrate Cisco's underlying portfolio in various use cases.

• Understand the business drivers behind Fog Compute Models
• Insight into the use cases coming out of the industrial verticals and the Enterprise
• Review of the key components, protocols and devices driving Fog Computing Solutions
• Understand the desired Business Outcomes that are the foundation of Fog Computing Solutions
• Understand the High Level Architecture of Fog / Cloud Architectures
• Be able to describe the IOx, Data in Motion (DMo)
• Understand the Safety, Security and Trust ramifications of Fog Compute scenarios
• Understand the Cisco IOx ready portfolio, building a Fog Compute BOM

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