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The Internet of Things Defined
Focus on actions and outcome
Sense
Connect
Act
Analyze
Store
Control
Share
Internet Of Things Introduction
Let’s Start with the Facts
The First
internet of
things was
found by Kevin
Ashton in
1999 .
87%
Of people have
not heard of
the term
Internet of
Things
ATM’s are considered
some of the first IoT
objects and went
online as far back as
1974
# of Connected
objects
2016 6.4 billion
2020 50 billion
Only 10% of car were
connected the internet
in 2012. By 2020, it’s
estimated that 90%
will be
For the device to be labelled as
‘IoT’ it must have 7 design features
• Sensors
• Internet connectivity
• Processors
• Energy efficiency
• Cost effectiveness
• Quality
• Reliable
• security
Rise of the Smart Connection Devices
Choosing a Sensor Technology
Features and functionality widely available
BluetoothWI-FI
Camera RFID
Growing importance of Sensors
Speed Accuracy, Ubiquity on the Rise
Experts predict
there will be up
to 100 trillion
Sensors by
2030
Image,speech,
And voice
recognization will
advance to near
100% accuracy
by 2030
The speed of
analytics will
grow thirty-fold
By 2030, with
95% of queries
answered in
milliseconds.
Sensors will be
Commonplace in
The 111 million
New cars and
the 2 billion
Smartphones
that will be
Purchased in
2020
The Internet of
Everything
Market could
Grow to $14.4
Trillion by 2020.
Why IoT Now?
Factors Why IoT Becoming
Availability
• IoT devices are
already
common,cheap
& easy to
replace
• Basic
infrastructure to
support IoT in
place
• By 2018 half of
the world will
be connected to
the internet
Affordability
• Average cost of
sensors used in
IoT will drop
even more
• By the end of
the decade the
price for a
sensor will
down to almost
$0.30
Scalability
• Many devices
offer simple
“Plug and play”
functionality
• IoT devices are
highly flexible,
offering short or
long-term
solutions for
companies,
households,
countries
Think Big, start small, scale fast
Aspects to consider when designing IoT applications
Dimensions Starter Experienced Complex
No. of devices 10’s Thousands Millions
No. of different devices 5 200 1000
Frequency Every min every sec Sub-sec
Data Volume/day MB GB TB
Raw data retention 1-4 weeks(TB) 3-6months(TB) 1-3years(100’s of PB)
Band width of connection Wired, Gbits Wireless,Mobile,10s of Mbits’s Satellite, long range WAN,
Kbit/s to Mbit/s
Cost of connection Free(neglibile) Marginal substantial
Latency(Response to trigger) Min Sec msec
Example:
50 devices * 5 streams * 60 *24 per
day = 360k data points
1KB * 360K = 360 MB per day
Example:
1000 devices * 5 streams * 60 *60
*24 per day = 884M data points
0.5KB * 884M = 432 GB per day
Example:
500 devices * 20 streams * 60 *60
*10HZ*24 per day=8.6bndata
points
0.2KB * 8.6bn = 1.7 TB per day
SAP Connected Goods
The Smart Industrial cooler
• Millions of unmonitored assests, that worth billions
of dollars, are located in various outlets:
Retail stores
Gas Stations
pharmacies
• Devices may hold stock that needs to be
maintained at specific temperature and humidity
• Devices are often under-utilized, stocked out,
powered off or missing
• No insight of device performance or
recognition per-device
• Device health and location are audited by agents once
every few months
SAP Connected Goods
Outcome Based Approach
• Monitor and manage large number of customers
facing devices such as coolers, chillers, vending
machines and others
• Reduce operational cost and increase revenues
by optimizing asset availability and utilization
• Improve customer satisfaction by ensuring correct
Storage conditions and perishable goods.
• Can turn appliance or product container into a
Sales and marketing platform.
• Based on SAP robust cloud infrastructure and
HANA in-memory database.
Start small
The simplest IoT scenario on SAP HANA / SAP HANA Cloud platform
Application
SAP HANA platform/HCP
QueryStream
HANA
database
HANA Smart Data
Streaming
• Devices have internet connectivity
• The number of devices and data
volumes are resonable for direct
connection via REST
• Data is captured in HANA; low
storage requirements
Thank You

More Related Content

IoT

  • 1. The Internet of Things Defined Focus on actions and outcome Sense Connect Act Analyze Store Control Share
  • 2. Internet Of Things Introduction Let’s Start with the Facts The First internet of things was found by Kevin Ashton in 1999 . 87% Of people have not heard of the term Internet of Things ATM’s are considered some of the first IoT objects and went online as far back as 1974 # of Connected objects 2016 6.4 billion 2020 50 billion Only 10% of car were connected the internet in 2012. By 2020, it’s estimated that 90% will be For the device to be labelled as ‘IoT’ it must have 7 design features • Sensors • Internet connectivity • Processors • Energy efficiency • Cost effectiveness • Quality • Reliable • security
  • 3. Rise of the Smart Connection Devices
  • 4. Choosing a Sensor Technology Features and functionality widely available BluetoothWI-FI Camera RFID
  • 5. Growing importance of Sensors Speed Accuracy, Ubiquity on the Rise Experts predict there will be up to 100 trillion Sensors by 2030 Image,speech, And voice recognization will advance to near 100% accuracy by 2030 The speed of analytics will grow thirty-fold By 2030, with 95% of queries answered in milliseconds. Sensors will be Commonplace in The 111 million New cars and the 2 billion Smartphones that will be Purchased in 2020 The Internet of Everything Market could Grow to $14.4 Trillion by 2020.
  • 6. Why IoT Now? Factors Why IoT Becoming Availability • IoT devices are already common,cheap & easy to replace • Basic infrastructure to support IoT in place • By 2018 half of the world will be connected to the internet Affordability • Average cost of sensors used in IoT will drop even more • By the end of the decade the price for a sensor will down to almost $0.30 Scalability • Many devices offer simple “Plug and play” functionality • IoT devices are highly flexible, offering short or long-term solutions for companies, households, countries
  • 7. Think Big, start small, scale fast Aspects to consider when designing IoT applications Dimensions Starter Experienced Complex No. of devices 10’s Thousands Millions No. of different devices 5 200 1000 Frequency Every min every sec Sub-sec Data Volume/day MB GB TB Raw data retention 1-4 weeks(TB) 3-6months(TB) 1-3years(100’s of PB) Band width of connection Wired, Gbits Wireless,Mobile,10s of Mbits’s Satellite, long range WAN, Kbit/s to Mbit/s Cost of connection Free(neglibile) Marginal substantial Latency(Response to trigger) Min Sec msec Example: 50 devices * 5 streams * 60 *24 per day = 360k data points 1KB * 360K = 360 MB per day Example: 1000 devices * 5 streams * 60 *60 *24 per day = 884M data points 0.5KB * 884M = 432 GB per day Example: 500 devices * 20 streams * 60 *60 *10HZ*24 per day=8.6bndata points 0.2KB * 8.6bn = 1.7 TB per day
  • 8. SAP Connected Goods The Smart Industrial cooler • Millions of unmonitored assests, that worth billions of dollars, are located in various outlets: Retail stores Gas Stations pharmacies • Devices may hold stock that needs to be maintained at specific temperature and humidity • Devices are often under-utilized, stocked out, powered off or missing • No insight of device performance or recognition per-device • Device health and location are audited by agents once every few months
  • 9. SAP Connected Goods Outcome Based Approach • Monitor and manage large number of customers facing devices such as coolers, chillers, vending machines and others • Reduce operational cost and increase revenues by optimizing asset availability and utilization • Improve customer satisfaction by ensuring correct Storage conditions and perishable goods. • Can turn appliance or product container into a Sales and marketing platform. • Based on SAP robust cloud infrastructure and HANA in-memory database.
  • 10. Start small The simplest IoT scenario on SAP HANA / SAP HANA Cloud platform Application SAP HANA platform/HCP QueryStream HANA database HANA Smart Data Streaming • Devices have internet connectivity • The number of devices and data volumes are resonable for direct connection via REST • Data is captured in HANA; low storage requirements