Personal Journey through ICT Research

Technology Trends and Issues in ICT Research & DevelopmentorHow to achieve your dream?Lee Kang-Won, PhD.ICT Synergy R&D Dept.

September 2014

#

#Table of ContentsIntroduction About MeAbout IBM, SKTWhat is good R&D?Major trends in ICTPossible research directionsAbout R&D attitude

About MeJoined SKT (April 2014)Joined IBM Research as RSM (August 2000)Ph.D. Computer Science, UIUC (2000)Thesis: Multicast for Heterogeneous Packet FlowsKookbi Scholarship from Korea Government C. G. Gear Outstanding Graduate Student AwardKFAS ScholarshipMilitary Service at ROK Air Force (1994 1996)M.S. and B.S. Computer Engineering, SNUMerit ScholarshipStudent President Magna Cum Laude4

Technical100+ publications in premier journals and conferences IBM Master InventorKSEA Engineer of the Year (2013)ACM Distinguished Scientist & Senior MemberIEEE Senior MemberIBM OTAA (TPC), RDA (PMAC, ITA)Book Author on Policy Technology (w/ D. Agrawal et al.)Keynote speaker: IEEE Sarnoff 2012Invited talks: UIUC, Columbia, Samsung, SNU, KAIST,

5

Projects Managed - ITA ProgramSummary Fundamental research in Network ScienceIBM-led consortium funded by US Army and UK MOD10 Year Program (5 + 5)

Funding StructureBasic research: $100M totalTransition contracts additional6ITA Technical ScopeTech Area 1: Network TheoryTech Area 2: Security Tech Area 3: Sensor Information ProcessingTech Area 4: Coalition Decision Making

My Role: Technical Area Leader for Tech Area 1 (Network Theory)

6Projects Managed Cloud ComputingFunding Agency: NIST3 year (2010 2012)GoalDevelop algorithms and mechanisms for management of large scale cloud computing systemsTeamIBM: ITW, BAMS, STR, SWRCornell UniversityOutputScience: 15 papers published top venues (INFOCOM, PODC, Allerton, SMPTS, AISTATS, KDD, CLOUD); several patentsBiz Impact: Anomaly Detection (TASP GA) Predictive Analysis (NSN demo, Streams GA)Standard Impact: SPEC Cloud Benchmark

7

78Technology Transfer: IBM TPC (w/ Almaden)BackgroundConfiguration errors are one of the leading causes of SAN disruptions and maintenance costs

Configuration Checking Utility for TPC v3.2Validates the correctness of SAN configuration by checking it against best practices and policies from field practitionersDiagnoses across multiple devices and hardware/software /firmware components

Outstanding Technical Achievement Award, 2008

Still available in Version 5 (4:30)

BeforeAfter

Warning: host can see both tape and disk

89/10/20148Slide video to 4:30Tech Transfer: Spatiotemporal AnalyticsMotion processing: Geofencing, Hangout, Map matching, CompressionFast Indexing for query: New algorithm using prefix matching; efficient for KV stores10x 1000x speed up depending on applicationsFull Earth operations: handles large objects (e.g., cargo ship, satellites), any location (e.g., around poles)Transferred to SPSS, G2, InformixIn plan for DB2, BigInsight, StreamsApplications: Connected cars, (1:00) Insurance, Location-specific monitoring, Digital billboards, etc.

9

9Start video from 0:559About IBMQuiz: How old is IBM?Hint: MS is 39 years old.

A: 65 yearsB: 81 yearsC: 92 yearsD: 103 years

4:3011Quiz: How old is IBM?Hint: MS is 39 years old.

A: 65 yearsB: 81 yearsC: 92 yearsD: 103 years (founded in 1911)

4:3012Quiz: What does IBM stand for?Quiz: What does IBM stand for?

Quiz: What does SK mean?Quiz: What does SK mean? ()Quiz: What biz did SK start?Quiz: What biz did SK start?Textile (, 1953)A little more about IBMIn 2012No. 2 largest employer in the U.S.No. 4 largest in terms of market capNo. 1 company for leaders (Fortune)No. 2 most respected companyNo. 1 green company

IBM Research12 labs worldwideMilestonesDRAM, HDDFractalFORTRANRISC architectureRelational DBDeep BlueWatson (1:00, 2:51, 6:30, 9:40)5 Novel Prizes4 Turing Awards

Edit watson video20A little more about SK telecomFirst and best1996200020032005Worlds firstCDMA CDMA2000 1XIS-95A/BWCDMA1x EV-DOHSDPAS-DMBWorlds firstSatellite DMBWiBro2G2.5G3G3.5G2006HSUPAWorlds firstCDMA 2000 1x/EV-DOWorlds firstHSDPA with HandsetHSPA+Worlds firstHSUPA for 5.76MbpsWorlds firstWCDMA R4Domestically FirstHSPA+20072010LTEProvide new experience to customer with high-level servicesuch as high-rate data, video telephony and Global roaming4G20132011LTE-AData network Paradigm ShiftDomestically First LTEWorlds first20143CA300 MbpsFocus Areas

NETWORK TECHNOLOGY

INFORMATION TECHNOLOGY

CONVERGENCE TECHNOLOGY

HEALTHCARELTE/LTE-A, 5G,Location-based serviceContext-awarenessNetwork-enabled cloudBig data analyticsInternet of ThingsSecurityIn-vitro HealthcarePersonalized healthcareStorage technologiesQuantum CryptoVideo/audio analytics

. SK Telecom R&D*eICIC: enhanced Inter-Cell Interference Coordination22What is Good R&D?What is Good R&D?If we knew what it was we were doing, it would not be called research, would it?Albert Einstein

Pasteurs Quadrant

What is Good R&D?Important ProblemReal world issueIngenious SolutionTrade Secret or PatentBiz ImpactCan make moneyMajor Trends in ICT

The Nexus of Forces of will drive more than $104B in 2017 - Gartner28

Trend 1. Network is increasingly being dominated by dataTrend 1. Network is increasingly being dominated by dataBandwidth vs. response time vs. availabilitySNS, multimedia, search, VR, ARMore variable, dynamic, integratedReal-time OSS/BSSTrend 2. Big opportunities for big data

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

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 TerabytesQuiz: If we stack books containing 4000 exabytes, how high will they be?Hint: Think BIGQuiz: 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)Trend 2. Big opportunities for big data but Didnt crack it yetMNOs vs. OTTsPrivacy: Customer sentimentplus regulationsOther obstaclesEnd-to-end encryption

Trend 3. IoT can provide new opportunitiesIoT is a $19 trillion opportunity John Chambers

Trend 3. IoT can provide new opportunities but Innovation is happening elsewhereNest, drones, watch, self-driving carsSelling circuits vs. solution?What about security and privacy?Direction 1. Virtualization to the rescueNo constraints from physical assetsNFV, SDN, Network-enabled cloudCapacity breathingAuto-scaling, self-scalingPredictiveDynamicAt any granularity, at any time scalePoint-to-point, multicastBased on usage

Direction 2. Mining the DataMore than just big dataSynergy between MNO & OTT?Mining, sieving, refining, distillingWhat is the purpose? What are you looking for? Intelligence, InsightNew tools Graph DB, column store, big table, stream processingPrivacy-preserving, delegated computingBusinesses are dying of thirst in an ocean of data1 in 2business leaders dont have access to data they need83%of CIOs cited BI and analytics as part of their visionary plan2.2Xmore likely that top performers use business analytics80%of the worlds data today is unstructured90% of the worlds data was created in the last two years20%amount of data traditional systems leverage today

#Main point: Data is growing at an astounding rate. It is growing so fast that we often lack the ability to use it to its full potential. The highly unstructured nature of this data makes the challenge that much more difficult. This is a real problem for business. It makes informed decisions more difficult to make. Business leaders need a way to find hidden patterns and isolate the valuable nuggets that they need to make business decisions.

Further speaking points: Yet, the rewards for finding a way to harness the data into useful information are great; 54% of companies in this years study with MIT/Sloan are using analytics for competitive advantage and that number has surged 57% in just the past 12 months. Dying of thirst in an ocean of data Its an apt analogy. Data is everywhere. 90% of it didn't exist just two years ago. The vast majority of it is totally useless for any given goal and therefore amounts to noise and a hindrance to finding the key useful information needed in a specific time and place. Additional information: See information and stats

46

How to handle Big Data?Maybe we need data refinery

Oil refinery

Data refinery

Raw DataStructured DataUnstructured DataSocial Net DataUser SentimentNetwork IntelligenceUser Intent Context DataSpatiotemporalPurchase HistoryCDRBillingHow to ensure safe data analysis?How to ensure safe data analysis?Privacy Homorphism: One of 10 Emerging Technologies (MIT Technical Review 2012)

Direction 3. Rich IoTExtreme scaleMNO has a unique peering pointSees traffic, location, ubiquitousCan provide value-added solutions to customersBuilt-in analytics, security, AIAaaS, SaaS, AIaaS

What is Good R&D?Important ProblemIngenious SolutionBiz ImpactWhat is Good R&D?Important ProblemIngenious SolutionBiz ImpactSolves the Problem CompletelyGoogle vs. Alta Vista, Lycos, Bing, etc.Facebook vs. MySpace, Cyworld, etc.Amazon vs. Best Buy, Walmart, etc.Wait, this is overwhelming

About R&D Attitude (1)Develop core strength; buzzwords come and go

Buzzwords come; buzzwords goBig data data mining, parallel computing, dist. computingIoT device, processor, sensor, communicationsCloud system software, virtualization, optimization, networksCognitive computingAI, machine learning, neural network, NLPAbout R&D Attitude (2)Put enough time, effort, and attention

About R&D Attitude (2)Put enough time, effort, and attention

About R&D Attitude (3)Execution is the key.

About R&D Attitude (4)Dont give up so easily

Brian Acton: Co-Founder of WhatsApp So, what is your dream?Want to hear your thoughts. Thank you!