INFORMIX - THE INTELLIGENT DATABASE FOR IOT - KIRAN CHALLAPALLI INFORMIX COMPETITIVE TECHNOLOGY & ENABLEMENT +91-80431-91802
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Informix – The Intelligent Database for IoT
Kiran Challapalli
Informix Competitive Technology & Enablement
challapalli@in.ibm.com
+91-80431-91802
© 2014 IBM CorporationAgenda
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)
© 2014 IBM CorporationWhat 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)
© 2014 IBM CorporationWhy 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”
© 2014 IBM CorporationForecasts call for billions and billions of connected devices
Business Insider Intelligence: Global Internet Device
Installed Base Forecast
“In 2020, Over 30 Billion Connected
Devices Will Be In Use.” – Gartner (link)
“Driven by reducing price per connection
and the consequent rapid growth in the
number of machine-to-machine (M2M)
connections, we expect the number of
connected objects to reach 50bn by 2020
(2.7% of things in the world).” – Cisco (link)
“There will be 212 B devices or things
connected to networks by 2020” - IDC (link)
“There are more than 10 billion wirelessly “From vehicles and smart phones to containers
connected devices in the market today; with and machines – by 2015 more than six billion
over 30 billion devices expected by 2020..” – ABI things will be connected to the internet.” – Bosch
Research (link) (link)
Internet of Things: A 2014 HorizonWatch Trend Report
© 2014 IBM Corporation 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)
© 2014 IBM CorporationIoT Improving life (contd.)
• Devices monitoring your heart
• Implanted sensors – alerting when an
critical event is likely to occur or has 15 minute intervals
occurred
• Alerts sent to emergency services
• On device analysis to alert emergency
services immediately Embedded
• Person’s information, location,
conditions sent
Analyze Data
• Data sent to the cloud for historic
analysis, trends Predicting an
oncoming Health
• To predict and recommend course
Issue.
of action
7
© 2014 IBM CorporationIoT 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.
And this is just the start1
© 2014 IBM CorporationIoT 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.
© 2014 IBM Corporation What is Internet of Things (IoT)
Why it matters – IoT Improving life
Managing Data in IoT with IBM Informix
Industry Examples of IoT
Informix Solutions for Internet-of-Things (IoT)
10
© 2014 IBM CorporationWhy IBM Informix for IoT
Embedded Database for the Edge
Edge device requirements Why have a database at the Why IBM Informix?
Edge? Informix database software
Today embedded devices are Operations at the edge are: incorporates design concepts that are
great for collecting and uniquely suited to the challenges in
forwarding data for a single Sorting, aggregation, duplicate
device, but… elimination, data cleansing, today’s embedded devices, resulting in
analytics … extremely high levels of performance
Consumers will have many and availability, distinctive capabilities
devices and want a Response time is often critical
in data replication and scalability, and
consolidated view Respond to events in real-time no administrative overhead.
These devices generate a
huge amount of data and A distributed view of data across Easily embedded in a device
collection space is limited devices may be required
Install footprint and memory
Why an Enterprise Class required as low as 64 MB
The variety and volume of data Hands-free administration
is a problem database is needed:
What can be done in the cloud can Built-in support for time series
It is time consuming to locate and spatial/GIS data
stored data be done at the edge.
Different device types Only the scale is different Analytics built into the database
generate different kinds of
data – time series, spatial, text Having the same database at the Supports JSON/BSON and SQL
which makes analytics difficult edge as in the backend/cloud makes apps simultaneously in the same
application development much database
simpler Scales-out across multiple devices
Enterprise reliability vs standard off-
the-shelf offerings
© 2014 IBM CorporationInformix Embed Strengths
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
© 2014 IBM CorporationIoT – Enterprise Database for the Cloud
Backend/Cloud requirements Why use a database in the Cloud? Why IBM Informix?
The volume of data that must be stored Databases are well suited to managing Informix database software incorporates
is a real challenge: the huge volumes of data from devices design concepts that are suited to challenges
Companies are already planning to in IoT, resulting in extremely high levels of
store data for billions of devices
No single server is large enough Customers want to be able to browse performance and availability, distinctive
Millions of records must be stored and analyze their data capabilities in data replication and scalability,
each second and no administrative overhead.
Data can be coming from 1000’s 1000’s of concurrent users
Integrates with IBM products such as
of different locations Reports need to be run on the MessageSight, Streams, SoftLayer,
device data BlueMix, etc…
Data from a variety of device types Billing, dashboards, trend
must be stored and analyzed Hands-free administration
analysis, aggregation,
Different devices types generate duplicate elimination, data Specialized high performance support
different kinds of data – time for time series and spatial/GIS data
cleansing, correlation,
series, spatial, text which makes Continuously load millions of
analytics difficult prediction, etc…
records per second
Sensitive data must be protected Archiving for compliance and auditing Analytics orders of magnitude
There may be medical, faster than other databases
automotive, personal electronics, Supports JSON/BSON and SQL apps
etc… all stored in the same cloud Enhances security via multi-tenancy simultaneously
Scales-out across multiple servers
High availability and transparent
failover required
Numerous well known APIs for
application development
© 2014 IBM CorporationIoT – Informix in the Cloud
As user load increases and storage
requirements grow the cloud can Device data
expand and retract as needed. consolidation
Collection of data for all
devices for all Homes
Embedded
• Informix in the Cloud Hints/Suggestions
– IBM Softlayer Cloud Correlation/Comparison
– IBM BlueMix SPSS/Cognos
– Amazon Cloud Consumer /
Business
• 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
© 2014 IBM Corporation What is Internet of Things (IoT)
Why it matters – IoT Improving life
Managing Data in IoT with IBM Informix
Industry Examples of IoT
Informix Solutions for Internet-of-Things (IoT)
15
© 2014 IBM CorporationChanging Business Models – Vehicle Maintenance
One of the largest freight railroad companies is
1 collecting data throughout its railroad network from
sensors and detectors to reduce maintenance costs
and increase revenues.
2 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
Data
3
operational effectiveness. Center
Sensor data is then sent to the cloud where the data is
4 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
5
types of sensor types, including video data collection
© 2014 IBM CorporationChanging Business Models – Vehicle Tracking
1 Use map overlays to show hotspots of traffic density
Data is collected and consolidated and then sent back
2 to an Informix database for storage and analysis.
Phone app to access data for your vehicle
3
Sensor data is then sent to the cloud where the data is
4 used for online analytical processing
Vehicle resident sensing – Monitors engine operation
including fluid levels, tire pressure, seat belt, air bag
5 usage
Onboard help using GPS for weather and traffic
6 conditions
Remote starting in bad weather situations
7
© 2014 IBM CorporationSmarter Transportation
Leading office automation solutions provider in Sri Lanka
Employs Informix and Time Series analytics to enhance operational efficiency and manage costs
Direct Upgrade
From Online SE to v11.70
15 x times
acceleration in report generation
speed from minutes to seconds
Business Challenge: JKOA was looking for an ERP to effectively handle accounts,
inventory, field operations, support & services, etc on a daily basis and help manage, monitor
TMS & audit enterprise data. An efficient fleet management solution was also a need of the hour to
remotely track, monitor and manage their fleet of vehicles, as the logistics team was unable to
Real time tracking on a single dashboard
conclude the location of fleet and gauge mileage.
HADR The Smarter Solution: The ERP solution, developed In-house on Informix 4GL caters day-to-
day activities of JKOA. Informix 4GL for ERP eased the efforts, helped gain flexibility to the
HADR setup ensures Business
Continuity round the clock changing dynamics and reduced the investments by meeting the increased demands and
scaled work loads with no additional investments.
Solution Components JKOA invested in Informix Time Series technology, to develop a Transport Management
• IBM® Informix® Growth Edition System (TMS) that collects fleet data and provides a comprehensive picture of vehicle
• IBM® Informix® 4GL locations. Access to real-time information as well as live tracking of fleet, including mileage,
• IBM System P Series 520 (ERP) geo-fencing etc, enabled the business to manage resources effectively, leading to potential
• HP System 350 (Informix DB) savings in fleet management costs and enhanced customer service.
• IBM Business Partner: Cybersoft Pvt Ltd
JKOA, through analysis and real-time mapping, now better predicts the costs and risks
associated.
© 2014 IBM CorporationShaspa embeds Informix
Service Framework – Integrating Equipment & Appliances to Provide Connected Services
Security Energy Generation
Lighting Control
Service
Providers
Network
Access Maintenance
Security
Health Informix
Energy
Media
Telephony
Shaspa SmartGate
Others
HVAC Sub Metering
Smart Metering Environmental KPI Monitoring
Powered by IBM Informix Software
© 2014 IBM CorporationEurope’s Largest Power company tackles the Smart Meter Big Data
challenge with Informix TimeSeries + In-Memory Accelerator (IWA)
E-Mobility
Optimised Data Sampling
use of RE
Energy Dynamic
E.ON Metering (EMTG) is the center
Transparency Demand Control 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
Energy Storage Customer Meter data infrastructure based on
Management Involvement IBM Informix TimeSeries technology in
Device Energy
combination with Informix In-Memory
Management Warehouse Accelerator
© 2014 IBM Corporation What is Internet of Things (IoT)
Why it matters – IoT Improving life
Managing Data in IoT with IBM Informix
Industry Examples of IoT
Informix Solutions for Internet-of-Things (IoT)
21
© 2014 IBM CorporationInformix Solutions for IoT - Example of a 3-Tier Architecture
Devices in the home -> Collector for all home data -> Collector for all homes
Devices in the
home Data from other
kinds of devices
Device data
consolidation
Streaming data Pub/Sub
Embedded
Infosphere Streams
MessageSight
Device data NoSQL/Relational & Timeseries data
consolidation
Device protocols
including CoAP,
6LoWPAN, ZigBee
etc.. Collection of data for all devices for
all Homes
Device data
consolidation
Informix Cluster in the Cloud
Device data Hints/Suggestions
consolidation Correlation/Comparison
SPSS/Cognos
Informix Warehouse Accelerator
Consumer / Business
Real-time Response Real-time Response Real-Time Analytics
22
Hints/Suggestions
© 2014 IBM CorporationIBM BlueMix - for Internet of Things Cloud Services
© 2014 IBM CorporationIBM Informix – the Intelligent Database for IBM’s
Internet of Things architecture
From Edge to the Cloud
Part of IBM’s IoT products portfolio
SaaS offerings of TimeSeries services and Internet of
Things Service – in Beta on IBM BlueMix.
– https://ace.ng.bluemix.net/
© 2014 IBM CorporationIBM Informix YouTube Channel
https://www.youtube.com/channel/UCsdfm-BDILWYPM04F7jdKhw
– Two videos on IoT; One video on NoSQL; more on the way..
– Search for IBMInformixChannel
© 2014 IBM CorporationQuestions?
Kiran Challapalli
challapalli@in.ibm.com
26
© 2014 IBM Corporation© 2014 IBM Corporation
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