1. Big Data: Meaning for Telecommunications Chae-Sub LEE Chairman of ITU-T SG13 Chae-sub.lee@ties.itu.int ITU Workshop on “Big Data” (Geneva, Switzerland, 17 June 2014)

2. Contents 1. Data, Information & Knowledge 2. Value Points and Model 3. Meaning for Telecommunications 4. SG13 2

3. 3 Data, Information and Knowledge K RKAM72E ULB37071MI M 54 CALB29 281 M K DATA Name; Height; Weight; Color; Age; Sex KIM 170 73 BLUE 27 M Name; Height; Weight; Color; Age; Sex MARK 182 92 BLACK 45 M Information 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) Knowledge

4. 4 Data, Information and Knowledge BIG DATA ? K R K AM72 EULB37 071MI M 5 4 CALB 29 281 M K ? ? ? ? Not a Data, practically information which collected sets of data

5. 5 Data, Information and Knowledge K R K AM72 EULB37 071MI M 5 4 CALB 29 281 M K ? ? ? ? BIG DATA

6. 6 Value Points and Model DATA Knowledge Information Wisdom Adding Value (Insight) Adding Value (Meaning) Adding Value (Context) Commu nication ICT ??? * note: this model based on R.L.Ackoff, “From Data to Wisdom,” presidential address to ISGSR in June 1988

7. 7 Value Points & Model Social Data Public Data Private Data Sensing Data Data Producer Data Service Provider Data Infra Providers Mining Collec. Processing Store Data Service User Data Use Data and Value Creation Provide Data Infra and Services Produce Data Analyze Visualize Data Service Providers Data Services Data-based Business Source : ETRI, “Big Data,” CEO Report, 2014 Networks (Con+Cap) Public, Enterprise Private, Personal Generated  Stored  Analyzed  Transformed (e.g. information)

8. 8 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

9. 9 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

10. 10 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