Device to Intelligence, IOT and Big Data in Oracle

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Device to Intelligence,
IOT and Big Data in Oracle
Saint Kim, Senior Director
Enterprise Architect, Oracle Korea
July 2014

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Market Overview
• IoT is expected to create $1.9T in economic value-add across sectors by 2020. Source: Gartner, 2013
• M2M connections driven by developed markets expected to reach 450M by 2017. Source: IDC’s Worldwide M2M Connection Forecast, 2013

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Market Overview
• Big Data Market is $5 billion
growing at 58% CAGR over next 5
years to reach $50 billion. Volume,
variety and “velocity!” (1)
• Explosion of devices over next five
years by 22x(2)
• Industries (3)
– Manufacturing
– Telematics
– Healthcare
Oracle Confidential – Internal/Restricted/Highly Restricted 3

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Market Overview
Approximately 3M Petabytes of data
will be generated in the next 5 years
by embedded system alone
(IDC, 2013)

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Operationalizing the Buzz: Big Data 2013
http://www.9sight.com/BigData_2013_Survey.pdf
Human-sourced information
Machine-generated data

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Visible Things in IoT Telematics
Smart Energy
Smart Home
29%
Clipped
Onto clothing
28%
Wrist
18%
Clipped
On shoe
15%
Embedded
Into clothing
12%
Embedded
In jewelry
12%
Earbuds/
headphones
12%
Glasses
10%
Upper
arm
6%
Around
chest
4%
Contact
lenses
3%
Tattooed
On skin
Wearable Device

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Invisible Things in IoT IoT Device to Data Center
Device
Device Platform
Storage DB
Micro
Processing
DB
Analysis
Data Store &
Efficient
Analysis
Gateway
Event
Processing,
Concentrator
Middleware
Data Flow
Processing
Filtering
How to reduce cost
and still keep
performance and
battery life?
What is the platform ?
Mechanism for Local
area networking
Mechanism for Wide area
networking
How to process events
from many devices, How
to concentrate network
traffic ?
How to manage
remote device and
how to collect device
data ?
How to analyze big data
in real time and provide
immediate IOT service ?

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Mast Strain
Hydrofoil
Position
Sail Tension
Wind Speed &
Direction
Case Study: America’s Cup Oracle Team USA Boat
Gateway
Network
Cloud
Database /
Engineered Systems
Business
Intelligence
Java Devices/Sensors
71◦
~183kg
527
kg/m
40
Knots
Wind Speed
Sail Tension
Mast Strain
Hull Stability
Real Time
Feedback
Wing Position
Hull Stability
Boat Speed
Changes to boat/sailing parameters
based on Analytics

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IoT Case – Livescribe
 Smart Pen
 Open System / Development Platform
 App Store / PenCast
 Java ME Technology
Power Button
Audio Jack
Microphone
Speaker
Replaceable Ink Tip
Micro-USB Connector
Wifi
OLED Display
Memory Storage

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IoT Case - JobClock Hornet
Portable Device
• Jobsite management device
– Mobile time recorder for
• Employee payroll
• Real-time staffing information
– Improved time-to-market
– Easy application development

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IoT Case – Transportation

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IoT Case – Transportation
• Container Management Device
• Basic device has three layers
– Sensor Board (intrusion, humidity, temperature,
shock)
– Processor board with GPS, GPRS, Iridium
communication
– Battery, storage
• User programs the device entirely in Java
• 25,000 devices being used

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IoT Case - Smart Metering
Intelligent Monitoring of Energy Use and Distribution
EnergyICT
Java SE Embedded Based
Smart Meter Concentrator

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Cloud HR(ERP)
Big Data
Analytics
Event
Processing
No display Simple UI 저해상도/작은 Screen 고화질 screen
Livescribe
JobClock Transportation Smart Meter
IoT Device
IoT Server

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50KB (Java Card), 2MB(Java ME)
Data Management in Device
128MHz
Lightweight
(Ex: CortexM3Chip)
ROM: 1MB
RAM: 2MB
exROM: 8MB
1
2 Light weight/Low battery consumption
Support various sensors and networks
• No display device to gathering
information
• Device with Simple UI
• Device with low res screen
• Device with high res screen and
high performance processor
NetBeans(Eclipse)
& Device emulation
3 Popular Developer Community
4
• 1MB footprint
• Indexing - Btree, Hash,
Queue&Recno, Heap
• NoSQL + SQL Support
• C, C++, Perl, PHP, Java Support
• Reference - Google, AT&T, EMC
Device
Gateway
Middleware
DB
Analysis
Cost, Development Productivity, Flexibility
Building IoT Device

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Gateway
IoT Gateway
Connectivity
Scalability
Security
Management
Healthcare
Retail Logistics
Security
Transport
Vending
Automotive
Device Middleware
DB
Analysis
Gateway

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IoT Middleware
Device
DB
Analysis
Gateway
Middleware
ID Management
Config
Management
Service
Application
Device Status
Management
Device
Authentication
M2M Protocol I/F
Application
Service
Interface
Security
Manageme
nt
Remote
Device
Management
DB
Device
Interface
M2M Middleware Platform
Logging
ERP
CRM
WMS
MES
Other App.
OracleServiceBUS
Notification
Portal
Antenna
Reader
TAG
Oracle
DB
Gateway
MemoryGrid
EventProcessing

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IoTDataCenter
Device
Gateway
Middleware
DB
Analysis
IOT Data Center, Database and Analysis

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Fleet Management Solution
Verizon Telematics
Location Tracking Solution
Connected Vehicle Services
Hughes Telematics
Telenor Connexion
Vehicle Capacity
& Flow Control
FuelBand Wearable Healthcare
Garmin Connect Fitness
Remote Service Monitoring
National Geo-fenced Service
Smart City
Smart Parking Management
City e-Service
Smart Data Center/Energy Mgmt
Commercial Smart Grid
Advanced Metering Solutoin
V2COM Smart Grid/AMI
Rockwell Plant Floor Data Mgmt
Halliburton Drilling Data Analysis Solution
Location-based Mobile Billboard
Realtime Telecom Visability
M2M Platform
Retail Climate Control
Alcatel-LucentAT&T
Automotive & Telematics Healthcare
Public/Defense
Smart Energy
Smart Manufacturing
M2M Platform
Unmanned Combat Vehicle
Bluelink TMS
Multi-Function Printer
Vending Machine
Hitech
IOT/ M2M Reference by Industry

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Automotive Telematics Sascar Fleet Management
COMPANY OVERVIEW
• Operates in the fleet management and cargo industries, with produ
cts and services for the operational management of security and lo
gistics
• Broadest product line of the segment, installed in more than 190,0
00 vehicles. Its sales network has about 370 sales representatives,
also has a technical assistance network of 750 service centers in th
e 27 Brazilian states, besides operating in Chile and Argentina
CHALLENGES/OPPORTUNITIES
• Company was acquired by private equity fund (GP Investimentos) a
nd has set an aggressive growth strategy
• Current technology (flat files / C + + code) is impeding growth
• A new IT platform (scalable, high performance, reliable) was need
ed to support business growth
PROJECT OBJECTIVES
• Automotive Telematics, essentially they need to
manage their vehicles in terms of route, speed,
time of arrival, etc
RESULTS
• Exalogic to consolidate all Java applications
on WLS and SOA Suite (OEP, ESB, BPEL);
• Exadata as the HW for the DB tier;
• Systems: Media Servers, Switches, Tape Libr
aries;
Realtime Spatial Data Analysis
Role of Device
 Sensor Board( Intrusion, Humidity, Temp, Shock
Detection)
 Communication Module(GPS, GPRS)
 Battery, Storage

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Public Sector : Vehicle Capacity & Flow Control
Motorola Smart IPVS
WARNING: Suspect Lice
nse plate – CABO . MEX
ICO CITY
WARNING: Driver Cri
minal Record
Real time event analysis
(OEP, ExaLogic)
Cloud Mgmt
VM Storage
Video Processing
Video Analytics
Historical analysis
(Oracle NoSQL
Big Data Appliance)
Road charging and billing
(Oracle RDBMS,
Exadata)
Cloud for running video processing, recording and analysis
(OVM, ZFSSA, Sun Server 3X-2/2-8 / Blades)
Motofixedandwirelessnetworking
Tier 1
(ZFSSA)
Long Term Storage
Command and control, GIS
(Moto Locator & Mapping)
Data Consolidation
 Projects worldwide using a reusable scalable architecture supporting
2800 or more cameras
 Streaming video meta data interfaces with IOmniscient processing
for Face recognition and License plate monitoring
 Event patterns for duplicate plates within temporal period beyond
distance capabilities
 Speeding analysis with driver recognition
 1.8 zettabytes being created and replicated (Streaming Video)
 57.5 billion 32 GB iPads, How much is that? About $34.4 trillion worth.

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• Ranked No.1 in telecom industry in the Fortune Global
500 and going through business transformation from
landline to mobile
• Improved user experience, capacity, operational
workload and provides competitive services and sales
tools to support proactive sales activities
• Oracle’s solution achieved performance requirement
of 84M transactions per minute for real time traffic
monitoring without packet loss
Telecommunication
NTT Communications

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NTT Communications
Challenges Solution
 Dedicated network devices
to monitor network traffic w
ere expensive, not scalable,
and therefore not extensible
.
 Heavy workload and/or inpu
t/output due to logs generat
ed.
 Unable to handle performan
ce requirements due to log
entries
Results
 NTT was able to achieve ad
vanced optimization to proc
ess highly-dynamic data in
a rapid fashion.
 The solution also helped im
prove capacity planning by
accurate trend/traffic analys
is.
 NTT was also able to achie
ve increased revenue by pr
oviding more competitive se
rvices.
 Oracle OEP technology to fi
lter correlate and process e
vents in real-time.
 Coherence Cache
 Oracle Exadata and OBIEE
to monitor and capture stati
stics across sessions

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NTT Communications

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Oracle IoT and Big Data Reference Architecture
Smart
Sensor
IoT Comm. A
gent
Application F
ramework
Sensor
IoT Comm. A
gent
Application F
ramework
Gateway
Application F
ramework
IoT Comm. A
gent & Mgmt
Proxy
IoT Comm. Gateway
Protocol Mediation
Web Services Security
Web Services Mgmt
IoT Identity & Access Mg
mt
Device Access Management
Device Identity Management
Identity Directory/Database
IoT Management
Device Registration & Mgmt
Message Cache
Management Console
Applications Provisioning
Data Routing & Analysis
Distributed Data Grid
Complex Event Processing
Big Data
Big Data Store
Data Aggregator
NoSQL DB
Key Value Data Store
Database
RDBMS
Business Intellige
nce
Performance Manag
ement
Alerts, Dashboards &
Reports
Advanced Analysis &
Data Science Tools
Data & Knowledge Di
scovery Tools
Enterprise
Integration
Complex applications integrati
on & SOA
Datacenter
Management
Gather Enrich Stream Manage Acquire Organize & Analyze
Local Event A
nalysis
CapillaryNetworks
NetworkFirewall
IntranetFirewall
DatabaseFirewall