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18-01-2016
1
Plan of Presentation
2
 What is Internet of Things?
 How IoT Works?
 Current Status & Future Prospect of IoT
 Knowledge Management – From Data toWisdom
 The Future of IoT
 The Potential of IoT
 Few Applications of IoT
 Technological Challenges of IoT
 Criticisms & Controversies of IoT
 References
What is IoT?
3
The Internet of Things (IoT) is the network of physical
objects or "things" embedded with electronics, software,
sensors, and network connectivity, which enables these
objects to collect and exchangedata.
IoT allows objects to be sensed and controlled
remotely across existing network infrastructure, creating
opportunities for more direct integration between the
physical world and computer-based systems, and resulting
in improved efficiency, accuracy and economicbenefit.
"Things," in the IoT sense, can refer to a wide variety
of devices such as heart monitoring implants, biochip
transponders on farm animals, electric clams in coastal
waters, automobiles with built-in sensors, DNA analysis
devices for environmental/food/pathogen monitoring or
field operation devices that assist fire-fighters in search
and rescueoperations.
These devices collect useful data with the help of
various existing technologies and then autonomously flow
the data between otherdevices.
4
The concept of the Internet of Things first became
popular in 1999, through the Auto-ID Center at MIT and
related market-analysis publications. R
Radio-frequency identification (RFID) was seen as a
prerequisite for the IoT at that point. If all objects and
5
people in
computers
daily life were equipped with identifiers,
could manage and inventory them. Besides
using RFID, the tagging of things may be achieved through
such technologies as near field communication, barcodes,
QR codes, bluetooth, and digitalwatermarking.
History of IoT
How IoT Works?
6
Internet of Things is not the result of a single novel
technology; instead, several complementary technical
developments provide capabilities that taken together help
to bridge the gap between the virtual and physical world.
These capabilitiesinclude:
 Communication and cooperation
 Addressability
 Identification
 Sensing
 Actuation
 Embedded information processing
 Localization
 User interfaces
How IoT Works?
7
RFID Sensor Smart Tech Nano Tech
To identify
and track
the data
of things
To collect
and process
the data to
detect the
changes in
the physical
status of
things
To enhance
the power of
the network
by devolving
processing
capabilities to
different part
of the
network.
To make the
smaller and
smaller
things have
the ability to
connect and
interact.
Where is my keys?
Where is my child?
Few Applications of IoT
13
Building and Homeautomation
Manufacturing
Medical and Healthcaresystems
Media
Environmental monitoring
Infrastructure management
Energy management
Transportation
Better quality of life forelderly
... ... ...
You name it, and you will have it in IoT!
Why IoT Attractive?
The Structure of IoT
21
The IoT can be viewed as a gigantic network
consisting of networks of devices and computers
connected through a series of intermediate technologies
where numerous technologies like RFIDs, wireless
connections may act as enablers of this connectivity.
 Tagging Things : Real-time item traceability and addressability
by RFIDs.
 Feeling Things : Sensors act as primary devices to collect data
from the environment.
 Shrinking Things : Miniaturization and Nanotechnology has
provoked the ability of smaller things to interact and connect
within the “things” or “smartdevices.”
 Thinking Things : Embedded intelligence in devices through
sensors has formed the network connection to the Internet. It
can make the “things” realizing the intelligentcontrol.
Current Status & Future Prospect ofIoT
“Change is the only thing permanent in this world”
22
Interoperability
IoT as a Network of Networks:
These networks connected with added security, analytics, and
management capabilities. This will allow IoT to become even
more powerful in what itcan help peopleachieve.
30
Knowledge Management –
Turning Data into Wisdom
11
The more data that is created, the better understanding and
wisdom people canobtain.
The Future of IoT
12
"The Sky's not the limit. It's only the beginning with IoT."
The Potential of IoT
13
GE’s estimateson potential of just ONE percent savings
applied using IoT across global industrysectors.
Technology roadmap of IoT
34
35
36
37
38
TECHNOLOGICAL CHALLENGES OF IoT
39
At present IoT is faced with manychallenges, such as:
 Scalability
 Technological Standardization
 Interoperability
 Discovery
 Softwarecomplexity
 Data volumes andinterpretation
 PowerSupply
 Interaction and short rangecommunication
 Wirelesscommunication
 Faulttolerance
40
W h o A m I
Entrepreneurial geek
Micro-clusters for BigDataenthousiasts
BigData
Services
Belgian Community
A g e n d a
Part 1 :BigData
Part 2 : IoT andBigData
Part 3 :Discussions
B i g D a t a
Part 1
T h e B u z z
Started byGoogle
● GFS Paper (2003)
● MapReduce Paper (2004)
Storing and processing “Big”Data
~ multiple petabytes
T h e N e e d
Large amount ofdata
IOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOI
IOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOI
IOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOI
OIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOI
OIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOII
IOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOI
OOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIOIIOIOIOIIIOIOO
OOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOO
OIOIIIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIO
IOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOI
OIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOII
OIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOII
OIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOI
OIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOI
OIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIOIIOIOIOIII
OIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOI
OOOOIOIIIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOI
OIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOI
OIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOI
OIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOI
OIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOI
OIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOII
OIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIOII
OIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOI
OIOIIIOIOOOOIOIIOIOIIOIIOIOIOIIIOIOOOOI
T h e N e e d
High Speed atwhich IOIIdata becomes available IOII
OIII OO
OIII
OOOIII IOII
OIII IOII
OIII
IOII OO
OIII IOII
T h e N e e d
The Different waysdata
is structured
IOII
IOII
IOIIIOIIIOII
IOII
IOII
IOII
IOII
IOII
IOII
IOII
IOIIIOII
IOII
IOII
IOII
IOII
IOII
IOII
IOII
IOI
IOI
IIIOII
IOIIIOII
IOII IOII IOII
T e c h n o l o g i e s
Batch Processing:
Realtime Processing:
S T O R M
H a d o o p
Platform for BatchProcessing
Yahoo!
Doug Cutting
Mike Cafarella
Fetching and processingwebpages
S t o r a g e : HDFS
P r o c e s s i n g : YARN
P r o c e s s i n g : M a p R e d u c e
A p a c h e S t o r m
Platform for RealtimeProcessing
Looks like Complex Event Processing(CEP)
Backtype
Nathan Marz
Acquired byTwitter
Like “ever-running” MapReducejobs
A p a c h e S t o r m
A p a c h e S t o r m
A p a c h e S t o r m
A p a c h e S t o r m
A p a c h e S t o r m
M y t h s
“BigData is all about storingdata”
“BigData is only for big companies having lots of data”
“There are no BigData use cases in Belgium”
“BigData is only being used for analytics”
D a n g e r s
People are hard tofind
Technologies are “different”
Too much technologies
You need hardware
Incorrect information
I o T & B i g D a t a
Part 2
I o t a s d a t a s o u r c e
Use data from“Things”
As raw aspossible
No matter whichformat
Store everything
I o t a s d a t a s o u r c e
I o t a s P l a t f o r m - I d e a
Quantity >Quality
One platformto
Store
Process
Nodes can be
Anything with a controller
Anything that can storedata
I o t a s P l a t f o r m - R i s k s
Complex Resource Management
Exploit Capabilities
Complex Data Management
Fragmented Data
Complex SecurityModel
Obfuscate Data
I o t a s P l a t f o r m - G a i n s
Keep your friends close, but your data closer.
Delegate processing
Use resources in the best way possible
Criticisms and Controversies of IoT
67
Scholars and social observers and pessimists have
doubts about the promises of the ubiquitous
computing revolution, in the areasas:
 Privacy
 Security
 Autonomy and Control
 Social control
 Political manipulation
 Design
 Environmental impact
 Influences human moral decisionmaking
THANK YOU !

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Iot - Internet of Things

  • 2. Plan of Presentation 2  What is Internet of Things?  How IoT Works?  Current Status & Future Prospect of IoT  Knowledge Management – From Data toWisdom  The Future of IoT  The Potential of IoT  Few Applications of IoT  Technological Challenges of IoT  Criticisms & Controversies of IoT  References
  • 3. What is IoT? 3 The Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchangedata. IoT allows objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities for more direct integration between the physical world and computer-based systems, and resulting in improved efficiency, accuracy and economicbenefit.
  • 4. "Things," in the IoT sense, can refer to a wide variety of devices such as heart monitoring implants, biochip transponders on farm animals, electric clams in coastal waters, automobiles with built-in sensors, DNA analysis devices for environmental/food/pathogen monitoring or field operation devices that assist fire-fighters in search and rescueoperations. These devices collect useful data with the help of various existing technologies and then autonomously flow the data between otherdevices. 4
  • 5. The concept of the Internet of Things first became popular in 1999, through the Auto-ID Center at MIT and related market-analysis publications. R Radio-frequency identification (RFID) was seen as a prerequisite for the IoT at that point. If all objects and 5 people in computers daily life were equipped with identifiers, could manage and inventory them. Besides using RFID, the tagging of things may be achieved through such technologies as near field communication, barcodes, QR codes, bluetooth, and digitalwatermarking. History of IoT
  • 6. How IoT Works? 6 Internet of Things is not the result of a single novel technology; instead, several complementary technical developments provide capabilities that taken together help to bridge the gap between the virtual and physical world. These capabilitiesinclude:  Communication and cooperation  Addressability  Identification  Sensing  Actuation  Embedded information processing  Localization  User interfaces
  • 7. How IoT Works? 7 RFID Sensor Smart Tech Nano Tech To identify and track the data of things To collect and process the data to detect the changes in the physical status of things To enhance the power of the network by devolving processing capabilities to different part of the network. To make the smaller and smaller things have the ability to connect and interact.
  • 8.
  • 9.
  • 10. Where is my keys? Where is my child?
  • 11.
  • 12.
  • 13. Few Applications of IoT 13 Building and Homeautomation Manufacturing Medical and Healthcaresystems Media Environmental monitoring Infrastructure management Energy management Transportation Better quality of life forelderly ... ... ... You name it, and you will have it in IoT!
  • 14.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21. The Structure of IoT 21 The IoT can be viewed as a gigantic network consisting of networks of devices and computers connected through a series of intermediate technologies where numerous technologies like RFIDs, wireless connections may act as enablers of this connectivity.  Tagging Things : Real-time item traceability and addressability by RFIDs.  Feeling Things : Sensors act as primary devices to collect data from the environment.  Shrinking Things : Miniaturization and Nanotechnology has provoked the ability of smaller things to interact and connect within the “things” or “smartdevices.”  Thinking Things : Embedded intelligence in devices through sensors has formed the network connection to the Internet. It can make the “things” realizing the intelligentcontrol.
  • 22. Current Status & Future Prospect ofIoT “Change is the only thing permanent in this world” 22
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30. IoT as a Network of Networks: These networks connected with added security, analytics, and management capabilities. This will allow IoT to become even more powerful in what itcan help peopleachieve. 30
  • 31. Knowledge Management – Turning Data into Wisdom 11 The more data that is created, the better understanding and wisdom people canobtain.
  • 32. The Future of IoT 12 "The Sky's not the limit. It's only the beginning with IoT."
  • 33. The Potential of IoT 13 GE’s estimateson potential of just ONE percent savings applied using IoT across global industrysectors.
  • 35. 35
  • 36. 36
  • 37. 37
  • 38. 38
  • 39. TECHNOLOGICAL CHALLENGES OF IoT 39 At present IoT is faced with manychallenges, such as:  Scalability  Technological Standardization  Interoperability  Discovery  Softwarecomplexity  Data volumes andinterpretation  PowerSupply  Interaction and short rangecommunication  Wirelesscommunication  Faulttolerance
  • 40. 40
  • 41. W h o A m I Entrepreneurial geek Micro-clusters for BigDataenthousiasts BigData Services Belgian Community
  • 42. A g e n d a Part 1 :BigData Part 2 : IoT andBigData Part 3 :Discussions
  • 43. B i g D a t a Part 1
  • 44. T h e B u z z Started byGoogle ● GFS Paper (2003) ● MapReduce Paper (2004) Storing and processing “Big”Data ~ multiple petabytes
  • 45. T h e N e e d Large amount ofdata IOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOI IOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOI IOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOI OIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOI OIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOII IOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOI OOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIOIIOIOIOIIIOIOO OOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOO OIOIIIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIO IOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOI OIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOII OIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOII OIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOI OIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOI OIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIOIIOIOIOIII OIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOI OOOOIOIIIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOI OIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOI OIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOI OIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOI OIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOI OIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOII OIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIOII OIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOI OIOIIIOIOOOOIOIIOIOIIOIIOIOIOIIIOIOOOOI
  • 46. T h e N e e d High Speed atwhich IOIIdata becomes available IOII OIII OO OIII OOOIII IOII OIII IOII OIII IOII OO OIII IOII
  • 47. T h e N e e d The Different waysdata is structured IOII IOII IOIIIOIIIOII IOII IOII IOII IOII IOII IOII IOII IOIIIOII IOII IOII IOII IOII IOII IOII IOII IOI IOI IIIOII IOIIIOII IOII IOII IOII
  • 48. T e c h n o l o g i e s Batch Processing: Realtime Processing: S T O R M
  • 49. H a d o o p Platform for BatchProcessing Yahoo! Doug Cutting Mike Cafarella Fetching and processingwebpages
  • 50. S t o r a g e : HDFS
  • 51. P r o c e s s i n g : YARN
  • 52. P r o c e s s i n g : M a p R e d u c e
  • 53. A p a c h e S t o r m Platform for RealtimeProcessing Looks like Complex Event Processing(CEP) Backtype Nathan Marz Acquired byTwitter Like “ever-running” MapReducejobs
  • 54. A p a c h e S t o r m
  • 55. A p a c h e S t o r m
  • 56. A p a c h e S t o r m
  • 57. A p a c h e S t o r m
  • 58. A p a c h e S t o r m
  • 59. M y t h s “BigData is all about storingdata” “BigData is only for big companies having lots of data” “There are no BigData use cases in Belgium” “BigData is only being used for analytics”
  • 60. D a n g e r s People are hard tofind Technologies are “different” Too much technologies You need hardware Incorrect information
  • 61. I o T & B i g D a t a Part 2
  • 62. I o t a s d a t a s o u r c e Use data from“Things” As raw aspossible No matter whichformat Store everything
  • 63. I o t a s d a t a s o u r c e
  • 64. I o t a s P l a t f o r m - I d e a Quantity >Quality One platformto Store Process Nodes can be Anything with a controller Anything that can storedata
  • 65. I o t a s P l a t f o r m - R i s k s Complex Resource Management Exploit Capabilities Complex Data Management Fragmented Data Complex SecurityModel Obfuscate Data
  • 66. I o t a s P l a t f o r m - G a i n s Keep your friends close, but your data closer. Delegate processing Use resources in the best way possible
  • 67. Criticisms and Controversies of IoT 67 Scholars and social observers and pessimists have doubts about the promises of the ubiquitous computing revolution, in the areasas:  Privacy  Security  Autonomy and Control  Social control  Political manipulation  Design  Environmental impact  Influences human moral decisionmaking