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Technology Trends and Issues in ICT Research & Development

Technology Trends and Issues in ICT Research & Development. Lee Kang-Won, PhD. ICT Synergy R&D Dept . September 2014. Table of Contents. Introduction – About Me About IBM, SKT What is good R&D? Major trends in ICT Possible research directions About R&D attitude. About Me.

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Technology Trends and Issues in ICT Research & Development

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  1. Technology Trends and Issues in ICT Research & Development Lee Kang-Won, PhD. ICT Synergy R&D Dept. September 2014

  2. Table of Contents • Introduction – About Me • About IBM, SKT • What is good R&D? • Major trends in ICT • Possible research directions • About R&D attitude

  3. About Me • Joined SKT (April 2014) • Joined IBM Research as RSM (August 2000) • Ph.D. Computer Science, UIUC (2000) • Thesis: Multicast for Heterogeneous Packet Flows • Kookbi Scholarship from Korea Government • C. G. Gear Outstanding Graduate Student Award • KFAS Scholarship • Military Service at ROK Air Force (1994 – 1996) • M.S. and B.S. Computer Engineering, SNU • Merit Scholarship • Student President • Magna Cum Laude

  4. Technical • 100+ publications in premier journals and conferences • IBM Master Inventor • KSEA Engineer of the Year (2013) • ACM Distinguished Scientist & Senior Member • IEEE Senior Member • IBM OTAA (TPC), RDA (PMAC, ITA) • Book Author on Policy Technology (w/ D. Agrawal et al.) • Keynote speaker: IEEE Sarnoff 2012 • Invited talks: UIUC, Columbia, Samsung, SNU, KAIST, …

  5. Projects Managed - ITA Program • Summary • Fundamental research in Network Science • IBM-led consortium funded by US Army and UK MOD • 10 Year Program (5 + 5) • Funding Structure • Basic research: $100M total • Transition contracts additional • ITA Technical Scope • Tech Area 1: Network Theory • Tech Area 2: Security • Tech Area 3: Sensor Information Processing • Tech Area 4: Coalition Decision Making • My Role: Technical Area Leader for Tech Area 1 (Network Theory)

  6. Projects Managed – Cloud Computing • Funding Agency: NIST • 3 year (2010 – 2012) • Goal • Develop algorithms and mechanisms for management of large scale cloud computing systems • Team • IBM: ITW, BAMS, STR, SWR • Cornell University • Output • Science: 15 papers published top venues (INFOCOM, PODC, Allerton, SMPTS, AISTATS, KDD, CLOUD); several patents • Biz Impact: Anomaly Detection (TASP GA) Predictive Analysis (NSN demo, Streams GA) • Standard Impact: SPEC Cloud Benchmark

  7. Technology Transfer: IBM TPC (w/ Almaden) Background Configuration errors are one of the leading causes of SAN disruptions and maintenance costs Configuration Checking Utility for TPC v3.2 Validates the correctness of SAN configuration by checking it against best practices and policies from field practitioners Diagnoses across multiple devices and hardware/software /firmware components Outstanding Technical Achievement Award, 2008 Still available in Version 5 (4:30) Before After Warning: host can see both tape and disk 8

  8. Tech Transfer: Spatiotemporal Analytics • Motion processing: Geofencing, Hangout, Map matching, Compression • Fast Indexing for query: New algorithm using prefix matching; efficient for KV stores • 10x – 1000x speed up depending on applications • Full Earth operations: handles large objects (e.g., cargo ship, satellites), any location (e.g., around poles) • Transferred to SPSS, G2, Informix • In plan for DB2, BigInsight, Streams • Applications: Connected cars, (1:00) Insurance, Location-specific monitoring, Digital billboards, etc. 9

  9. About IBM

  10. Quiz: How old is IBM? • Hint: MS is 39 years old. • A: 65 years • B: 81 years • C: 92 years • D: 103 years

  11. Quiz: How old is IBM? • Hint: MS is 39 years old. • A: 65 years • B: 81 years • C: 92 years • D: 103 years (founded in 1911)

  12. Quiz: What does IBM stand for?

  13. Quiz: What does IBM stand for?

  14. Quiz: What does SK mean?

  15. Quiz: What does SK mean? • 선경 (鮮京)

  16. Quiz: What biz did SK start?

  17. Quiz: What biz did SK start? • Textile(선경직물, 1953)

  18. A little more about IBM • In 2012 • No. 2 largest employer in the U.S. • No. 4 largest in terms of market cap • No. 1 company for leaders (Fortune) • No. 2 most respected company • No. 1 green company

  19. IBM Research • 12 labs worldwide • Milestones • DRAM, HDD • Fractal • FORTRAN • RISC architecture • Relational DB • Deep Blue • Watson (1:00, 2:51, 6:30, 9:40) • 5 Novel Prizes • 4 Turing Awards

  20. A little more about SK telecom 3CA 2014 • First and best 300 Mbps LTE-A LTE 2013 World’s first HSPA+ 2011 WiBro HSUPA Domestically First LTE 2010 HSDPA Domestically FirstHSPA+ 2007 Data network Paradigm Shift S-DMB World’s first HSUPA for 5.76Mbps 2006 1x EV-DO WCDMA World’s first HSDPA with Handset 2005 CDMA 2000 1X World’s first Satellite DMB 2003 World’s first WCDMA R4 IS-95A/B 2000 Provide new experience to customer with high-level service such as high-rate data, video telephony and Global roaming World’s first CDMA 2000 1x/EV-DO 1996 World’s first CDMA 4G 2.5G 3G 3.5G 2G

  21. Ⅲ. SK Telecom R&D Focus Areas • Smart Network Evolution • LTE/LTE-A, 3CA, 5G, etc. • Secure connectivity • Real-time Multimedia • Mobile multimedia (UHD) • Convergence Technologies • Storage technologies • Internet of Things (IoT) • Quantum Crypto • Emerging Technologies • Human-to-machine interface • Video/audio analytics CONVERGENCE TECHNOLOGY NETWORK TECHNOLOGY • In-vitro Healthcare Device • Molecular diagnostics • Immunoassay • Reagent • Bioinformatics • Bio-marker • Personalized healthcare • New B2B/B2C Service Creation • Smart mobility, BYOD • Context awareness, Personalization, LBS • IT Core Technology • Network enabled cloud • Big data analytics INFORMATION TECHNOLOGY HEALTHCARE *eICIC: enhanced Inter-Cell Interference Coordination 22

  22. What is Good R&D?

  23. What is Good R&D? • “If we knew what it was we were doing, it would not be called research, would it?” • Albert Einstein

  24. Pasteur’s Quadrant

  25. What is Good R&D? • Important Problem • Real world issue • Ingenious Solution • Trade Secret or Patent • Biz Impact • Can make money

  26. Major Trends in ICT

  27. Trend 1. Network is increasingly being dominated by data

  28. Trend 1. Network is increasingly being dominated by data • Bandwidth vs. response time vs. availability • SNS, multimedia, search, VR, AR • More variable, dynamic, integrated • Real-time OSS/BSS

  29. Trend 2. Big opportunities for big data

  30. Quiz: How much data generated between 1993 – 2012? • Hint: 5 exabytes* generated between 3000 BC – 2003 * 1 Exabyte = 10^18 bytes = 1 M Terabytes

  31. Quiz: How much data generated between 1993 – 2012? • Hint: 5 exabytes* generated between 3000 BC – 2003 • Answer: 4000 exabytes * 1 Exabyte = 10^18 bytes = 1 M Terabytes

  32. Quiz: If we stack books containing 4000 exabytes, how high will they be? • Hint: Think BIG

  33. Quiz: If we stack books containing 4000 exabytes, how high will they be? • Hint: Think BIG • Answer: 80 roundtrip times between Earth and Pluto (160 x 5.9B km)

  34. Trend 2. Big opportunities for big data but … • Didn’t crack it yet • MNOs vs. OTTs • Privacy: Customer sentiment • plus regulations • Other obstacles • End-to-end encryption

  35. Trend 3. IoT can provide new opportunities

  36. Trend 3. IoT can provide new opportunities but … • Innovation is happening elsewhere • Nest, uber, drones, self-driving cars • Selling “circuits” vs. solution? • What about security and privacy?

  37. Direction 1. Virtualization to the rescue • No constraints from physical assets • NFV, SDN, Network-enabled cloud • “Capacity breathing” • Auto-scaling, self-scaling • Predictive • Dynamic • At any granularity, at any time scale • Point-to-point, multicast • Based on usage

  38. Direction 2. Mining the Data • More than just “big data” • Synergy between MNO & OTT? • Mining, sieving, refining, distilling • What is the purpose? • What are you looking for? • Intelligence, Insight • New tools • Graph DB, column store, big table, stream processing • Privacy-preserving, delegated computing

  39. Businesses are“dying of thirst in an ocean of data” • 80% • of the world’s data today is unstructured • 90% • of the world’s data was created in the last two years • 20% • amount of data traditional systems leverage today 1 in 2 business leaders don’t have access to data they need 2.2X more likely that top performers use business analytics 83% of CIOs cited BI and analytics as part of their visionary plan

  40. How to handle Big Data? • Maybe we need “data refinery”

  41. Oil refinery

  42. Data refinery Unstructured Data User Sentiment Social Net Data Network Intelligence Raw Data User Intent Spatiotemporal Context Data Structured Data Purchase History CDR Billing

  43. How to ensure safe data analysis?

  44. How to ensure safe data analysis? • Privacy Homorphism: One of 10 Emerging Technologies (MIT Technical Review 2012)

  45. Direction 3. Rich IoT • Extreme scale • MNO has a unique peering point • Sees traffic, location, ubiquitous • Can provide value-added solutions to customers • Built-in analytics, security, AI • AaaS, SaaS, AIaaS

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