Transcript BIG DATA

ITU Workshop on “Big Data”
(Geneva, Switzerland, 17 June 2014)
Big Data:
Meaning for Telecommunications
Chae-Sub LEE
Chairman of ITU-T SG13
[email protected]
Contents
1.
2.
3.
4.
Data, Information & Knowledge
Value Points and Model
Meaning for
Telecommunications
SG13
2
Data, Information and Knowledge
DATA
Information
Knowledge
K
I
M 1
7
0
7
3
B
L
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7
M
M A
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K
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8
2
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B
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K
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M
C
Name; Height; Weight; Color; Age; Sex
KIM
170
73
BLUE 27
M
Name; Height; Weight; Color; Age; Sex
MARK
182
92
BLACK 45
M
Mr. Kim as 27 years old young man
like blue color with size 170cm and
73 kg (need normal size)
Mr. Mark as 45 years old middle
aged man like black color with size
182cm and 92 kg (need big size)
3
Data, Information and Knowledge
K
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M
1
7
0
7
3
B
L
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2
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M A
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1
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B
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C
K
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M ?
?
?
?
BIG
DATA
?
Not a Data, practically
information which
collected sets of data
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Data, Information and Knowledge
K
I
M 1
7
7
3
B
U E
2
7
M M A
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K
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2
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L
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0
BIG
DATA
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Value Points and Model
Wisdom
???
ICT
Commu
nication
Knowledge
Information
Adding
Value
(Insight)
Adding
Value
(Meaning)
Adding
Value
(Context)
DATA
* note: this model based on R.L.Ackoff, “From Data to Wisdom,” presidential address to
ISGSR in June 1988
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Value Points & Model
GeneratedStoredAnalyzedTransformed (e.g. information)
Data Service
Provider
Data Producer
Data Infra Providers
Public
Data
Store
Mining
Collec.
Private
Data
Data
Social
Data
Sensing
Data
Produce Data
Data Service
User
Processing
Networks
(Con+Cap)
Data Service Providers
Visualize
Analyze
Provide Data Infra
and Services
Source : ETRI, “Big Data,” CEO Report, 2014
Public,
Enterprise
Data
Services
Data-based
Business
Private,
Personal
Use Data and
Value Creation
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Meaning for Telecommunication
 Telecommunication is an infrastructure for dealing with Big Data
 Telecommunication itself is in a Big Data environments
(network and service systems generate Big Data as well)
 Followings should be considered:
 Data itself has least value
 Telecommunication is more than delivery (service/appl.)
 Delivery of data also less value, more value for services and
applications (involve as Big Data service/appl. provider)
 Value increased: Data  Information  Knowledge
 Become information based from data: need to handle “context”
 Move forward to knowledge based: need to deal with “meaning”
• Big Data infra provider: collection and delivery (incl. store)
• Big Data service provider(???): processing (analyze and
transform to information)
• Dealing with Big Data is a chance to improve telecom
capabilities for “Information and knowledge”
• Using “context” based on Big Data and strengthen
virtualized capabilities such as Cloud Computing
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SG13 (1)
 Study and develop Cloud Computing (CC)
Recommendations:
 Y.3501: CC framework and high-level requirements
 Y.3510: CC Infrastructure Requirements
 Y.3520: CC framework for end to end resource mgmt.
 Y.3511: Framework of inter-CC for network & infrast.
 Y.3503: Requirements for Desktop as a Service
 Big Data study initiated by Y.BigData-Reqts (Req. and
capabilities for CC based Big Data) with following scope:
 Overview of CC based big data inc. introduction to big
data
 Big data characteristics, functionalities & relationship
with CC
 Benefit of CC based big data from telecom
perspectives
 CC based big data requirements, capabilities, use
cases and scenarios
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SG13 (2)
 Study and develop Recommendations on “Context”
related based on Smart Ubiquitous Networks (SUN):
 Y.3041: Smart Ubiquitous Networks - Overview
 Y.3042: SUN - Smart Traffic Control and Resource
Management Functions
 Y.3043: SUN - Context awareness framework
 Y.3044: SUN - Content awareness framework
 Y.3045: SUN - Functional architecture of content
delivery
 Study and develop Recommendations on “Virtualization”
related for Future Networks:
 Y.3300: Framework of Software-Defined Networking
(SDN)
 Y.3012: Requirements of network virtualization for
Future Networks
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