Rosemary Arakaki – Sales Bus Dev Manager

Filipe Silva – Solutions Architect

15 June 2016

Edge & Fog processing

How to leverage your data in real-time

Cisco Confidential

A New Industrial Revolution Digitizing Manufacturing to Capture the Value of the Internet of Everything

18th Century

Steam

20th Century

Mass Production 70’s

Robots

Today

Digitization + Smart Automation

Technology

Progress

Smart

Devices

Digital Manufacturing Priority Investments #1 Analytics | #2 Connectivity | #3 Automation | #4 Mobility Source: SCM World/Cisco “Smart Manufacturing & the Internet of Things 2015” survey of 418 Manufacturing Business Line Executives and Plant Managers across 17 vertical industries.

Connected

Machines

Factory

Network

Factory

Wireless

Analytics & Big Data

Collaboration

Pervasive Security

Factory

Compute

Compute & Virtualization

Real time analysis

• Edge processing allows real-time

actions/decisions without central resources

utilization

• Avoid traffic of non-relevant data throughout

the network

• Integrate advanced predictive analytics and

machine learning

Unstructured Data Structured Data Data Streaming at the Edge

Traditional

Data Warehouse Big Data Store

A New Approach is Needed to Reach and Analyze That Data

REAL-TIME LONG-TERM SHORT-TERM

Make a Decision NOW Make a Decision Today Plan for a Business Decision

“Most data will be

processed at the edge” (mobile devices, appliances, routers)

37%

Widely Distributed, Streaming, Short Shelf Life, Too Big to Move

Digital Enterprises Create Data at the Edge

Three years from now, where will most data generated by IoT solutions be processed?

Delivering actionable insights from IoT data requires big + fast data, real-time analytics and decentralization

5

Network

Analytics

Big Data pattern – horizontal integration

POS

Analytics ?

Network

Cloud /

Data Center

Client Fraud

Analytics

Source POS POS POS 50 billion devices

Shared WAN

Network

Analytics

IoT pattern – de-centralization at scale

POS

Analytics ?

Fog

Cloud /

Data Center

Client Fraud

Analytics

Edge

Source POS POS POS

Mazak SmartBox Industry-Shaping Collaboration

• The SmartBox is a mini electrical

cabinet about the size of a typical

household medicine chest

• It can be mounted on the side of

a machine enclosure; this enables

the box to be connected to a

machine tool in several ways

• Cisco's real-time analytics

capabilities are embedded into

a Cisco Industrial Ethernet (IE)

4000 switch inside SmartBox;

measuring vibrations and

temperature

• It provides real-time visibility

and insights into data right on

the factory floor

• Access to real-time manufacturing

data to improve overall productivity

and responsiveness to customer /

market changes

• Identify and easily fix downtime-

related inefficiencies to improve

overall equipment utilization

Expected Business Results About SmartBox Cisco Solution

In October 2015, we announced an industry-shaping collaboration with Mazak

Corporation and MEMEX on “SmartBox,” a technology that enables real-time

data and analytics from manufacturing machines.

Robots &

Machines

Plant Areas • Fog Node

• Real-Time Dashboards

• Alerting

• Sensors

• Devices

• Edge Analytics

Corporate Cloud • HPC & DV

• Data Mining & Modeling

• Inter-Cloud Data Lake

Factory • Fog Aggregation Nodes

• Factory History & Trends

• Reports & Dashboards

Acoustic

Temperature

Edge Analytics for IoT Manufacturing

Edge Analytics with CSA Deployed on Cisco Devices

and Fog Nodes (UCS)

on Factory Floor

Data Platform & Applications

Deployed in Customer Data Center or Factory

Cisco IE4k Switch

Data Sources: PLC I/O PAC

Machine Data

Cisco Analytics

Dashboards

HMI Integration

Dashboards & Alerts

Sensor Data

JS

ON

Process Manufacturing: Machine Protect

Operator alert when machine parameters cross normal threshold

Real time machine stats with baseline recommendations

Trends that indicate potential machine failure

Use Case

Manufacturing Machines

Data Ingest

Alert Mediation

CSA

Web UI

PS

Business

Results

Identify and easily fix machine downtime

Increase equipment utilization

Improve productivity

THANK YOU !!!!