Informix internet of things

© 2014 IBM Corporation
IBM Informix
Enterprise Data Management for Internet-of-Things
Sandor Szabo, IBM
sandor.szabo@de.ibm.com

© 2014 IBM Corporation2
Agenda
• What is Internet of Things (IoT)
• Why it matters – IoT Improving life
• Industry Examples of IoT
• Managing Data in IoT with IBM Informix
• Informix Solutions for Internet-of-Things (IoT)

What is the Internet of Things (IoT)
“The Internet of Things refers to uniquely identifiable objects (things) and their
virtual representations in an Internet-like structure.” – Wikipedia (link)
“The Internet of
Things is the
network of physical
objects that contain
embedded
technology to
communicate and
sense or interact
with their internal
states or the
external
environment.” –
Gartner (link)
“The Internet of Things represents an evolution in which objects are capable of
interacting with other objects. Hospitals can monitor and regulate pacemakers long
distance, factories can automatically address production line issues and hotels can
adjust temperature and lighting according to a guest's preferences, to name just a
few examples.” – IBM (link)

Why Internet of Things now?
• A “perfect storm” scenario
– Billions of devices (things) all
connected
– Significant drop in processing,
memory and storage costs per unit
– Technological advances enable
ability to handle data as never before
• Emerging “System of Systems”
– “a collection of task-oriented or
dedicated systems that pool their
resources and capabilities together
to create a new, more complex
system which offers more
functionality and performance than
simply the sum of the constituent
systems”

IoT Improving life
• Imagine you normally wake up at 6 a.m.
for work each day. But on this day, your
car is low on fuel. A fuel sensor notices
this, and has a chat with your
Smartphone, and asks your alarm to
wake you up 10 minutes early.
• Your phone is then sent a text alerting
you that you need to get gas on the way
into work.
• The coffee machine is programmed to
turn on at 6 a.m. each morning, but this
morning, it too will be scheduled to turn
on 10 minutes early.

Analyze Data
15 minute intervals
Predicting an oncoming
Health Issue.
Embedded
IoT Improving life (contd.)
• Devices monitoring your heart
• Implanted sensors – alerting
when an critical event is likely to
occur or has occurred
• Alerts sent to emergency
services
• On device analysis to alert
emergency services immediately
• Person’s information,
location, conditions sent
• Data sent to the cloud for
historic analysis, trends
• To predict and recommend
course of action

IoT Terms & Concepts
•M2M – Machine to machine
•Sensor / Edge devices
•Embed
•Ubiquitous Computing
•Cloud
•Message broker (MessageSight)
•MQTT & Pub/sub
•Big Data

IoT Data Management is a Big Data problem
• Big data is massive amounts of data, both
structured and unstructured. Commonly
described as the three V’s.
• Volume is the exponential growth in the data
that businesses store. This also involves
aggregation of current data for various view
points. Storage plays a factor and is an
important aspect in storing this large amounts
of data.
• Velocity is related to the speed at which the
data is delivered, and the handling of that data
in near-real time.
• Variety speaks to the fact that the data that
needs to be handled is not just text related
data anymore. Structured data as well as
unstructured data, including emails, video,
audio, etc.
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Changing Business Models – Vehicle MaintenanceChanging Business Models – Vehicle Maintenance
One of the largest freight railroad companies
is collecting data throughout its railroad
network from sensors and detectors to reduce
maintenance costs and increase revenues.
Data is collected and consolidated and then
sent back to an Informix database for storage
and analysis.
Analytics is performed on an ongoing basis to
determine potential repair needs and to
determine operational effectiveness.
Sensor data is then sent to the cloud where
the data is used for online analytical
processing
There is a variety of data collected by various
sensors. Over the next few year expected to
have ~30 different types of sensor types,
including video data collection
1
2
Data
Center
3
4
5

Changing Business Models – Vehicle TrackingChanging Business Models – Vehicle Tracking
Use map overlays to show hotspots of traffic
density
Data is collected and consolidated and then
sent back to an Informix database for storage
and analysis.
Phone app to access data for your vehicle
Sensor data is then sent to the cloud where
the data is used for online analytical
processing
Vehicle resident sensing – Monitors engine
operation including fluid levels, tire pressure,
seat belt, air bag usage
Onboard help using GPS for weather and
traffic conditions
Remote starting in bad weather situations
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2
3
4
5
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7

Changing Business Models – Network MonitoringChanging Business Models – Network Monitoring
Monitoring network gateways and routers
Performance checks and cross correlation of
similar devices on the network
Look for possible failure nodes before they
happen
Congestion monitoring & prediction
Perform re-routing as desired
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2
3
4
5

Changing Business Models – Health Care MonitoringChanging Business Models – Health Care Monitoring
Automatic sensors to monitor well being
Pendants, shower & bath buttons
Activity sensors – rising in the morning,
taking meds, using the fridge
Bed & Chair sensors for inactivity monitoring
Outside alarms to alert neighbors
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2
3
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5

Edge device requirements
 Today embedded devices
are great for collecting and
forwarding data for a single
device, but…
 Consumers will have
many devices and want
a consolidated view
 These devices generate
a huge amount of data
and collection space is
limited
 The variety and volume of
data is a problem
 It is time consuming to
locate stored data
 Different devices types
generate different kinds
of data – time series,
spatial, text which
makes analytics difficult
Why have a database at the
Edge?
 Operations at the edge are:
 Sorting, aggregation,
duplicate elimination, data
cleansing, analytics …
 Response time is often critical
 Respond to events in real-
time
 A distributed view of data
across devices may be
required
Why an Enterprise Class
database is needed:
 What can be done in the cloud
can be done at the edge.
 Only the scale is different
 Having the same database at
the edge as in the
backend/cloud makes
application development much
simpler
 Enterprise reliability vs
standard off-the-shelf offerings
Why IBM Informix?
 Informix database software
incorporates design concepts
that are uniquely suited to the
challenges in today’s embedded
device's, resulting in extremely
high levels of performance and
availability, distinctive
capabilities in data replication
and scalability, and no
administrative overhead.
 Easily embedded in a device
 Install footprint and
memory required as low
as 64 MB
 Hands-free
administration
 Built-in support for time
series and spatial/GIS data
 Analytics built into the
database
 Supports JSON/BSON and
SQL apps simultaneously in
the same database
 Scales-out across multiple
devices
Embedded Database for the Edge
Why IBM Informix for IoT

Why IBM Informix for IoT (contd.)
– Informix announced support for ARM in
Q4/2013 – only Enterprise class database
embedded for ARM devices
– Small enough install size and low memory
requirements to comfortably fit in many devices
at the edge – Less than 64 MB
– Holds millions of records per Gigabyte
– Hybrid database supporting JSON/BSON and
SQL applications simultaneously in same
database
Full Enterprise Class functionality whether running in an ARM
based Edge Device or on the Cloud
The Informix database is well suited for the whole spectrum of
database requirements in Internet-of-Things (IoT)
ARM has 95%+ market share in smart phones and a dominant market share in
various other device categories like tablets, set-top boxes, networking, etc..
– ARM projects 30 billion connected devices by 2020 (shipped 8.7b ARM based
devices in 2012)

• Informix is proven technology as an embedded
database. Providing a small footprint with a
fully featured enterprise database server.
• Built in autonomics with self healing, self
configuration and automation with the DB
scheduler.
– Automated space provisioning
– Automated Memory Management
– Dynamically tuned Engine parameters
• Embedding Informix in consolidation
devices on the edge of the network of IoT
allows for:
– Complex store and forward capabilities
with transformation and aggregation of
data
– Business decisions made on the edge,
closer to the producer of the data
Informix Embed Strengths

Service Framework – Integrating Equipment & Appliances to Provide Connected
Services
Service
Provider
s
Maintenan
ce
Security
Health
Energy
Media
Telephony
Others
Energy GenerationSecurity
Lighting Control
Smart Metering
Sub MeteringHVAC
Environmental KPI Monitoring
Network
Access
Informix
Shaspa SmartGate
Shaspa embeds Informix
Powered by IBM Informix Software

IoT – Enterprise Database for the Cloud
Backend/Cloud requirements
 The volume of data that must
be stored is a real challenge:
 Companies are already
planning to store data for
billions of devices
 No single server is
large enough
 Millions of records must
be stored each second
 Data can be coming from
1000’s of different
locations
 Data from a variety of device
types must be stored and
analyzed
 Different devices types
generate different kinds
of data – time series,
spatial, text which makes
analytics difficult
 Sensitive data must be
protected
 There may be medical,
automotive, personal
electronics, etc… all
stored in the same cloud
Why use a database in the
Cloud?
 Databases are well suited to
managing the huge volumes
of data from devices
 Customers want to be able to
browse and analyze their
data
 1000’s of concurrent
users
 Reports need to be run
on the device data
 Billing, dashboards,
trend analysis,
aggregation,
duplicate elimination,
data cleansing,
correlation,
prediction, etc…
 Archiving for compliance and
auditing
 Enhances security via multi-
tenancy
 High availability and
transparent failover required
 Numerous well known APIs
for application development
Why IBM Informix?
 Informix database software
incorporates design concepts
that are suited to challenges in
IoT, resulting in extremely high
levels of performance and
availability, distinctive capabilities
in data replication and scalability,
and no administrative overhead.
 Integrates with IBM products
such as MessageSight,
Streams, SoftLayer, BlueMix,
etc…
 Hands-free administration
 Specialized high performance
support for time series and
spatial/GIS data
 Continuously load
millions of records per
second
 Analytics orders of
magnitude faster than
other databases
 Supports JSON/BSON and
SQL apps simultaneously
 Scales-out across multiple
servers

Device data
consolidation
Collection of data for all
devices for all Homes
Hints/Suggestions
Correlation/Comparison
Consumer / Business
As user load increases
and storage
requirements grow the
cloud can expand and
retract as needed.
Embedded
SPSS/Cognos
• Quickly deploy hardware
– IaaS – add new hardware infrastructure
as needed
• Quickly deploy Informix
– SaaS – Add a new Informix instance as
a single node or into an Informix Grid
• Quickly deploy Testing/development
environment
– PaaS – Create entire
development/testing environment for
Informix/NoSQL and other needs
• Informix in the Cloud
– IBM Softlayer Cloud
– IBM BlueMix
– Amazon Cloud
IoT – Informix in the Cloud

Europe’s Largest Power company tackles the
Smart Meter Big Data challenge with Informix
TimeSeries + In-Memory Accelerator (IWA)
• E.ON Metering (EMTG) is the
center of excellence for the
development and
commercialization of smart
energy solutions and
technologies and part of
Europe’s largest Power and
Gas company E.ON
• EMTG operates a sophisticated
Smart Meter data infrastructure
based on IBM Informix
TimeSeries technology in
combination with Informix In-
Memory Warehouse
Accelerator
Optimised
use of RE
Device Energy
Management
Customer
Involvement
Dynamic
Demand
Control
E-Mobility
Energy
Storage
Management
Energy
Transparency
Data Sampling

Example of a 3-Tier Architecture
Devices in the home -> Collector for all home data -> Collector for all homes
Collection of data for all
devices for all Homes
Real-time Response
Real-time Response
Hints/Suggestions
Hints/Suggestions
Correlation/Comparison
Data from other
kinds of devices
Consumer / Business
Devices in the
home
Device data
consolidation
Device data
consolidation
Device data
consolidation
Device data
consolidation
Pub/Sub
Embedded
Informix Cluster in the Cloud
NoSQL/Relational & Timeseries data
Informix Warehouse Accelerator
Real-Time Analytics
Streaming data
SPSS/Cognos
MessageSight
Infosphere Streams
Informix Solutions for Internet-of-Things
Device protocols
including CoAP,
6LoWPAN, ZigBee
etc..

IBM BlueMix - for Internet of Things Cloud

•https://www.youtube.com/channel/UCsdfm-
BDILWYPM04F7jdKhw
– Two videos on IoT; more on the way..
– Search for IBMInformixChannel
IBM Informix YouTube Channel

Just one more thing… 

Powered by IBM Informix:Shaspaand Tatung announce the
immediate availability of the next generation Smart Gateway
Paving the foundation of a joint vision
towards a smarter planet.
 A Smart Home Solution to manage and
interact with
–Security
–Entertainment
–Health
–Voice and Gesture recognition
 Gateway devices that connects TVs,
computers, mobile devices to smart
meters, lights, appliances, plugs and
sensors
 The solutions portfolio on the ARM
processor chip allows
–Immediate responses to local events
–To analyze larger trends and insights

IBM Informix 12.10 availible on ARM Processors!
• A full version IInformix 12.10 Edition, with TimeSeries-
und Geospatial support
• Minimum requirments for Informix 12.10 on ARM boards
–ARMv7 CPU with Floatingpoint support
–512 MB RAM (for Linux and Informix)
–Writable media like SSD, SD, microSD for Database data
–Mimimum disk space for the database < 100 MB

IBM Informix 12.10 on Intel Quark!
• Full Informix 12.10 Edition, with TimeSeries
• Minimum requirments for Informix 12.10 – on Quark
–400MHz 32-bit Intel® Pentium
–256 MB RAM (for Linux and Informix)
–Writable media like SSD, SD, microSD for Database data
–Mimimum disk space for the database < 100 MB
– Linux Distributionen for Galileo board
Debian 7.1

IBM Informix 12.10 on Cubieboard A20-ARM
• Full Informix 12.10 Edition, with TimeSeries and Spacial
• Technical data:
– Dual core ARM cortex-A7 processor (2x 1,0 GHz)
– 1GB RAM (for Linux und Informix)
– 4 GB Flash
– 2x USB 2.0 , 1x Micro SD-Kartenslot, 1x SATA, 1x ir
– HDMI 1080p Output
– 96 extend pin including I2C, SPI, RGB/LVDS, CSI/TS, FM-IN,
ADC, CVBS, VGA, SPDIF-OUT, R-TP.
– 100M Ethernet
– Linux Distribution
Debian 7.1

Informix 12.1: Simply Powerful
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Informix internet of things

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