Out of the Cloud and Into the Fog! - Cisco · Out of the Cloud and Into the Fog! Shaik Kaleem...
Transcript of Out of the Cloud and Into the Fog! - Cisco · Out of the Cloud and Into the Fog! Shaik Kaleem...
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Out of the Cloud and
Into the Fog!
Shaik KaleemSenior Director, Global Business Development,
May 27, 2018
IOT Business Unit, Cisco Systems
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Digitization & IoT
“Digitization is using technology to change Business Outcomes
for organizations” --> Business Transformation
Business Outcomes
Data Driven
Continuous Innovation
Sustaining Competitive Differentiation
“IoT is an enabler for Digitization”
“Digitization & IoT Solutions help corporations transition from
Product-focused to Service based (XaaS)”
Digitization & IoT
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IoT Data Platform
Applications
Phase 3:
Connected Ecosystem
Phase 1:
Connecting Things
Phase 2:
Connected Service
• Industrial over IP
• Transforming legacy infra
• IT and OT convergence
• Connected products
• Analytics to improve processes
• New Thing-aaS biz models
• Fog/Edge Computing
• Inter-connect silo’ed biz
processes
• Connect ecosystem
Common Phases of IoT Journey
Automation & Integration Platform
Applications
• Factory automation
• Factory wireless
• Factory security
• Machine analytics / ZDT
• Asset mgmt / utilization
• Smart LED lighting
• Predictive maintenance
• Smart Workspace
• Supply chain
orchestration
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Improve
OEE
Reduce
downtime
Shrink
NPI cycles
Reduce
defects
64 million machines worldwide
• 92% of machines are not network connected
• 75% say their customers’ expectations for
aftersales services are rising
Industry transformation
"If you went to bed last night as an industrial
company, you're going to wake up today as a
software and analytics company.”
- Jeff Immelt, CEO, GE
Connected Machines
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IoT Cloud Challenges
Oil Platform Assembly Plant Smart Grid
Limited Bandwidth Latency & B/W Latency
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Operations Data Center
IT Data Center
7,000 oil wells
The Real World - B/W Constraints
Acoustic and temperature sensors generate 1 GB/day from each well
300 rigs with data collection and processing potential
3G connection with operations data center
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The Real World – Latency Constraints
Smart grid fault restoration
Automation enabled by communication among teams of reclosers
Requires fog application response and latency of < 50 ms
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Traditional Approach
Take Data to the Processing
Why Fog Computing ?
Processing
Processing
Fog Node
IoT
Device
Processing
Fog Node
Processing
IoT
Device
Optimal Approach for IoTTake Processing to the Data
CLOUD CLOUD
Overcome Latency Constraints by processing at the edge
Overcome Data/Bandwidth Constraints by filtering data at the edge
Transforming
DataAggregating
Data
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APPLICATIONS
Application Enablement
IoT Connectivity
Fog ServicesManagement and
Automation
Cisco IoT System FrameworkSOLUTIONS ECOSYSTEM
Se
cu
rityDefense
City
UtilityManufacturing
Oil and Gas
Service Provider
Transportation
Public Safety
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Fog Infrastructure for Running Apps Close to Things
Rich Service Capabilities: APIs
Application Lifecycle Management
Ecosystem Partners
Fog Node Choice
Cisco Fog Computing
Platforms: CGR, 8X9 Series Eco System PartnersAPIs: IOx
Device Compute Management
Device Compute Ecosystem
Fog Director
WHAT IS IT
CISCO VISION
CISCO PORTFOLIO
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Cisco IOxEnabling Fog Applications
CommunicateBest Internetworking IOx+ Compute
Best Open Source =Cisco IOS Linux
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IE4K Switch
Fog Node
JDBC
CSA
MTC Handler
StreamingModel Scoring
Anomaly Alert &
Data Export
Model Configurati
on APIData
Ingest
Alert Stream
Mediation
CSA
Web UI
Historian
MTConnectAgents
MC1 MC2
MC3 MC4
JDBC
https
HCN8800
E1060
HCN8800
Orbitec
Mazak Fog Computing Architecture
Data center/Cloud
IE 4000
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IE4k Switch
IoE Analytics
Data Sources:
PLC I/O PACMachine Data
Factory/ Cisco
Dashboards
Operator Alert
Mazak :Machine Protect
Use Cases Operator alert when machine parameters cross normal threshold
Real time machine stats with baseline recommendations
Trends that indicate potential machine failure
Software Feature that provides real-time predictive maintenance
& trending by correlating real-time machine I/O and sensor alerts
with historical data
Manufacturing Machines
MTConnect
XML
Sensor Data
JS
ON
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Itron Fog Solution
Paul NelsonSenior Director, Smart GridsItron
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O
P
E
N
W
A
Y
R
I
V
A
1.0 AMI
• Load Profiles (5-60 Min)
• Meter To Cash
• Remote Disconnect
• Customer Data Access
• Multiple applications on a single device
• Autonomous operation• Local Access to High freq. data (1 sec)
• “Fog” Computing / Distributed Intelligence
True Smart-Grid functionality
3.0 Smart-Grid
O
P
E
N
W
A
Y
R
I
V
A
Itro
n O
penW
ay
with
Fo
g c
om
pu
tin
g
Automation & Integration Platform
Business Outcomes
Operational Outcomes
2.0 "Smarter " AMI
• Load Profiles (5-60 Min)
• Asset Load Estimates
• Voltage Analysis
• Outage Filtering
Analytics
Information
Electrical Grid OverviewApplications
• LOCATIONAL AWARENESS
• OUTAGE DETECTION
• LOAD DISAGGREGATION
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Edge Network/Field/Fog Back Office/Cloud
Computing Power
at the Edge “Edge
Computing:
An iPhone or PC compute
power at every meter and grid
device
A unified software platform
running multiple apps, protocols
High resolution local data
access
New Communication
Capabilities
• Multi-Service IPv6
Network
• Multi-media (PLC, RF,
Wifi)
• Multi-modulation
• Peer-to-peer
communication
• Local broadcast
The intelligence to choose
among them
Location Awareness
On the distribution
system
• Transformer
• Feeder
• Phase
• Relation to other
meters/device
Continuously updated
Open-Application Environment
Support for multiple Communication and
Application protocols at various levels
• Network Equipment (IoX)
• Smart metering nodes
• Distribution Automation
• Load Control
• Demand Response
• Home Area Network
World-Class Back-Office and Cloud
Infrastructure
Support for multiple Communication and
Application protocols at various levels
• Field Network Director NMS
• Single, Scalable Head-End for all
meters
• OpenWay Operations Center
• DMS/OMS/DRMS
• Operational Analytics
• MDMS – Itron Enterprise Edition MDM
• Data Warehouse / Big-Data
OpenWay, powered by Itron RivaTM
Transformational Technology for the Smart Grid
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OSI Soft Fog Solution
Tom ChowBusiness Manager - AsiaOSI Soft
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The PI System in the IoT World Forum Reference Model
Se
rve
r-B
ased
(on-p
rem
or
clo
ud
)
Em
bed
de
d-B
ased
(on-p
rem
)
Legend:
PI Clients
PI Data Archive
PI Asset Framework
PI Connectors
and Interfaces
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Cisco 829 Router and PI System in Pipeline Scenario
DataCenter Cisco Fog Director
• Available Resources
• App Distribution and Lifecycle
• App Monitoring
OSIsoft PI Server
On Cisco UCS
End User Experience
Centralized View of Operations
Process Optimization
Quality Improvement
Asset Health & Uptime
Energy EfficienciesRegulatory
RequirementsSafety
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NEC Fog Solution
Soi Yeong LimVice PresidentNEC
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2
1
Driving Innovation with AI + Big Data + Fog
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NEC Value Proposition
Collection of large-scale data
Analysis and prediction
Solution of social issues
• Invariant analysis
• Heterogeneous mixture
learning
• Facial image analysis
• Behavior analysis
• Textual entailment
recognition
• Surveillance cameras
• Smart devices
• Diverse sensors
SDN : Software-Defined Networking
・Network virtualization
・Cyber security
Diverse sensors and human interface technologies
High-performance/ high-reliability
core IT technologies
Next-generation network technologies
FOGBIG
DATA
SDN
* Rated as No. 1 among organizations participating in an evaluation task organized by the U.S. National Institute of Standards and Technology (NIST)
Unique
Unique
Unique
No.1
No.1
From the seafloor
to outer space
World’s first SDN switches
Essential to future information
system
Leveraging information captured by our unique and highly competitive ICT assets
to become a social value innovator
• Accumulated data
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Q & A
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Thank you.