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Page 1: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm
Page 2: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

Copyright©2015,Oracleand/oritsaffiliates.Allrightsreserved.

HEALTHCAREFORTHE

ELDERLYUSING

Page 3: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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•GerritGrunwald•DeveloperEvangelist•Oracle•@hansolo_

ABOUTUS

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SafeHarborStatement

Thefollowingisintendedtooutlineourgeneralproductdirection.Itisintendedforinformationpurposesonly,andmaynotbeincorporatedintoanycontract.Itisnotacommitmenttodeliveranymaterial,code,orfunctionality,andshouldnotberelieduponinmakingpurchasingdecisions.Thedevelopment,release,andtimingofanyfeaturesorfunctionalitydescribedforOracle’sproductsremainsatthesolediscretionofOracle.

Copyright©2015,Oracleand/oritsaffiliates.Allrightsreserved.

Page 5: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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Page 6: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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IT'SBEAUTIFUL

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BUT…

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THEREAREPROBLEMS

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DEPOPULATION

Page 11: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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๏Countrysidelesspopulartopeople๏Youngpeoplemovingtothecities๏Peopleingeneralgettingolder

DEPOPULATION

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PopulaRonin1995=100

1995 1997 1999 2001 2003 2005 2007 2009

99

98

97

100

101101.5

97.6 CountrySide

CongestedAreas

DEPOPULATION (e.g.GERMANY)

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LESS

ACCESS

Page 14: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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๏ Inruralareashalfasmanydoctors๏Upto5timesthedistancetoaccesshealthcareservices

๏Fewerspecializedhealthcareservices

LESSACCESSTODOCTORS

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AGING

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DREAMS

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OFTENTHEREALITY

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PEOPLEAREALONE

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INCASEOF

NEED?

Page 20: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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Page 21: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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Page 22: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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HEALTH

INDICATORS

Page 23: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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๏Stepswalkedaday๏Roomschangedaday๏Locationsvisitedoutside๏TimetheTVsetwasrunning๏…

HEALTHINDICATORS

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HEALTH

ALERTS

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๏Dramaticdecreaseofstepsforalongerperiod

๏Roomdoesn'tchangeanymoreandpersonisathome

HEALTHALERTS

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๏TVisnotusedatallandpersonisathome

๏AlarmbuttonwastriggeredbyPerson

HEALTHALERTS

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๏Locationoutsidedoesn'tchangeforlonganditisnight

๏Locationoutsideandbadweather(e.g.verycoldetc.)

HEALTHALERTS

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๏andmanymanymore…

HEALTHALERTS

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DATAPROCESSING

Page 30: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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VISUALIZEANALYZEAGGREGATECOLLECT

DATAPROCESSING

Page 31: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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VISUALIZEANALYZEAGGREGATECOLLECT

DATAPROCESSING

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COLLECTING

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HARDWAREREQUIREMENTS

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HARDWAREREQUIREMENTS

๏ Internetconnectioniscrucial๏ iBeaconstolocatecurrentroom๏Accelerometertocountsteps๏GPStolocatepersonoutside๏PowermetertodetectTVusage

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IBEACONS

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IBEACONS

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๏ BluetoothLowEnergy๏ BroadcastuniqueID๏ Interval0.1-10s๏ Triggerlocationbasedaction๏ Usefulforindoornavigation

IBEACONS

Page 38: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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ID1

IBEACONSID2

ID3

ID4

BeaconineachroomPersonentersroomDevicedetectsbeacon

Page 39: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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ID1

IBEACONSID2

ID3

ID4

TXPowertostrong

Page 40: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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ID1

IBEACONSID2

ID3

ID4

TXPowerlessstrong

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1STATTEMPT

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1STATTEMPT

Page 43: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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๏Odroid-Wboard๏GPSsensor๏BLEadapter๏Accelerometer๏ JavaSE8embedded

1STATTEMPT

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1STATTEMPT

๏Toclunky๏Obtrusive๏Hardtohandle๏Nointeractivity๏Batterylife

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2NDATTEMPT

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2NDATTEMPT

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๏AtomWear๏Accelerometer๏BLE๏Tinydisplay๏C

2NDATTEMPT

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๏NoGPS๏Hardtohandle๏Nointeractivity๏Batterylife

2NDATTEMPT

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3RDATTEMPT

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3RDATTEMPT

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๏ 3G/4Gconnection๏WiFi+BLE๏ Longbatteryruntime๏ Cancountsteps๏Waterresistant

3RDATTEMPT

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๏WiFi+BLE๏ Longbatteryruntime๏ Cancountsteps๏ Interactswithphone๏Waterresistant

3RDATTEMPT

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๏ Flicbutton(s)๏ BLE๏ Longbatteryruntime๏ Cantriggeralerts๏Multiplebuttonspossible

3RDATTEMPT

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3RDATTEMPT

๏Easytohandle๏BLEandGPS๏Batterylife๏Connectivity๏ Interactivity

Page 55: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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SOFTWAREREQUIREMENTS

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SOFTWAREREQUIREMENTS

๏DetectGPSlocationandBeacons๏ InteractwithFlicbutton๏Aggregatesteps๏Callacontactperson๏Publishdata

Page 57: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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MOBILEAPPLICATION

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MOBILEAPPLICATIONSETUP

HELP

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๏Cancallcontactperson๏CansendAlertmessage๏Collectssteps๏Detectbeacons/location๏Hasfalldetection

MOBILEAPPLICATION

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FALLDETECTION

2g

1g

0g1swindow

Falling(min)

Impact(max)

AcceleraRon

∆g๏ Falldetection๏ Posturerecognition๏ Hitrate85%

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WEARAPPLICATION

Page 62: HEALTH CARE FOR THE ELDERLY USING - GOTO …gotocon.com/dl/goto-berlin-2015/slides/GerritGrunwald...Spark Stream Processing Historical Baseline Dataframe Anomaly Detecon Algorithm

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๏Callcontactperson๏SendAlertmessage๏Collectssteps๏ InteractwithphoneviaBLEandWiFi

WEARAPPLICATION

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๏CanbetriggeredbyWatchface

WEARAPPLICATION

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FLICBUTTON

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๏CantriggeranAlert๏ InteractwithphoneviaBLE

FLICBUTTON

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YOCTOWATT

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๏Measurespowerconsumption

๏ Interactwithphone/gatewayviaWiFi

YOCTOWATT

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VISUALIZEANALYZEAGGREGATECOLLECT

DATAPROCESSING

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VISUALIZEANALYZEAGGREGATECOLLECT

DATAPROCESSING

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AGGREGATING

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IOTGATEWAY

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๏ARMbasedSingleBoardComputer๏ i.MX6Quad1GHz๏4GBRAM๏ JavaSE8emb.

IOTGATEWAY

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๏GeoFenceServer๏Aggregatesdata(direct,mqtt)๏Filtersdata๏Forwardsdata

IOTGATEWAY

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GEOFENCING

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GEOFENCING

๏Receiveslocation๏Checksagainstfences๏Reactsonenteringorleavingafence

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AGGREGATING

DATA

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AGGREGATINGDATA

๏Fromdirectlyconnectedsensors(TVset)

๏Frommobilephone(viaMQTT)

๏FromGeoFenceserver(directlyorviaMQTT)

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FILTERINGDATA

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FILTERINGDATA

๏Filterfaultysensordata(wrongTVpowerconsumptionreadings)

๏Filterwronglocationdata(jumpinglocationduetobadgpssignal)

๏Filtergeofencedata(togglebetweeninside/outsidefenceduetobadgps)

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DATAFORWARDING

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๏ForwardsfilteredpersondataviaREST(usedinvisualizationapp)

๏Forwardsfiltereddatatoadatabase(aggregatedstepsarestoredonceaday)

DATAFORWARDING

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VISUALIZEANALYZEAGGREGATECOLLECT

DATAPROCESSING

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VISUALIZEANALYZEAGGREGATECOLLECT

DATAPROCESSING

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ANALYZING

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Relevance

Time

ANALYZINGEvents Data

Analysis

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๏SimulationDataset๏5,000peoplex3monthshistoryx5minuteeventinterval

๏129MillionEvents

ANALYZING

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(spark.apache.org)

http://spark.apache.org
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๏Generalpurposeclustercomputingsystem

๏StartedinAMPLabatUniversityofCalifornia,Berkeleyin2008

๏Opensourcedin2009

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๏EnginewritteninScalawithAPIsupportforScala,Java,PythonandR(asofversion1.5)

๏Coreenginewithmodules

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๏Supports>80dataanalysisalgorithms๏map-reduce,groupBy,fold,join,count,union,sum,…

๏DatafromHDFS,Cassandra,SQL,Streamsandmanyothers

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SparkCore

DataframesandSQL Streaming Machine

LearningGraph

Processing

Architecture

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SparkCore

DataframesandSQL Streaming Machine

LearningGraph

Processing

Architecture

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BRINGINGITTOGETHER

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SparkStreamProcessing

HistoricalBaselineDataframe

AnomalyDetecUonAlgorithm

“SuspiciousEvents”

“NormalEvents”

HistoricalData

BROKER

DEVICE

DEVICE

DEVICE

REST

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๏Usuallypersonwalks4500stepsaday๏UsuallypersonisgoingtothesupermarketeveryTuesday

๏UsuallypersonusesTVfor5haday๏…

RULES

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Individual Base LineSt

eps

0

1500

3000

4500

6000

Time7 am 8 am 9 am 10 am 11 am 12 pm 1 pm 2 pm 3 pm 4 pm 5 pm 6 pm 7 pm 8 pm 9 pm 10 pm 11 pm

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Daily Steps Within Typical RangeSt

eps

0

1500

3000

4500

6000

Time7 am 8 am 9 am 10 am 11 am 12 pm 1 pm 2 pm 3 pm 4 pm 5 pm 6 pm 7 pm 8 pm 9 pm 10 pm 11 pm

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Daily Steps With Potential AnomalySt

eps

0

1500

3000

4500

6000

Time7 am 8 am 9 am 10 am 11 am 12 pm 1 pm 2 pm 3 pm 4 pm 5 pm 6 pm 7 pm 8 pm 9 pm 10 pm 11 pm

Events Ok

Below Normal

AttentionAlert

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VISUALIZEANALYZEAGGREGATECOLLECT

DATAPROCESSING

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VISUALIZING

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DESKTOPCLIENT

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๏CrossplatformJavadesktopclient๏Showlastknownlocation๏Showinformationofperson๏Showinformationofcontactperson๏DataviaSSEfromApplicationServer

DESKTOPCLIENT

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Routing

Location

Stepswalked

Persons

CurrentRoom

CurrentFence

Stepstoday

ContactPerson

Battery,Weather,Day/Night

Nearesthospital

GeoFence

DESKTOPCLIENT

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DESKTOPCLIENT

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SETUP

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REST

MQTT

COLLECT

AGGREGATE 3rdPARTY

RESTWiFi

SSE

VISUALIZEBROKER

MQTT

ANALYZE

SERVER

REST

REST

GATEWAYAPPROACH

MQTT

BLE

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SIMPLIFY

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REST

MQTT

COLLECT

AGGREGATE 3rdPARTY

RESTWiFi

SSE

VISUALIZEBROKER

MQTT

ANALYZE

SERVER

REST

REST

GATEWAYAPPROACH

MQTT

BLE

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REST

MQTT

COLLECT

AGGREGATE 3rdPARTY

RESTWiFi

SSE

VISUALIZEBROKER

MQTT

ANALYZE

IoTCloudService

GATEWAYAPPROACH

BLE

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SIMPLIFYMORE

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REST

MQTT

COLLECT

AGGREGATE 3rdPARTY

RESTWiFi

SSE

VISUALIZEBROKER

MQTT

ANALYZE

IoTCloudService

GATEWAYAPPROACH

BLE

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REST

COLLECT

3rdPARTY

RESTWiFi

SSE VISUALIZE

ANALYZE

IoTCloudService

AGGREGATE

DIRECTAPPROACH

BLE

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CONCLUSION

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IOTCANBEHELPFULBUT…

๏Deviceshavetobemoreunobtrusive๏Technologymustbemoreeasy๏Problematictoconvincepeople๏DataPrivacyandSecurityarecritical๏Ruralinternetaccessiscrucial

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High Throughput Horizontally Scalable @MeyerDan …gotocon.com/dl/goto-berlin-2015/slides/DanielMeyer_High...- Cannot really move away from RDBMS - Not “hardware friendly” - Inadequate

Deploying, Organizing, and SecuringApplications …gotocon.com/dl/goto-cph-2015/slides/HenrikWestergaard...AZURE RESOURCE MANAGER API You decide tracks template execution created within

FROM BIG DATA TO BIG INFORMATION - GOTO …gotocon.com/.../slides/DeanWampler_FromBigDataToBigInformation.… · FROM BIG DATA TO BIG INFORMATION Dean Wampler (@deanwampler) Concurrent

Simple Scalability - Microservices on PaaS Colin Humphreys ...gotocon.com/dl/goto-berlin-2014/slides/Colin... · Microservices on PaaS Colin Humphreys @hatofmonkeys. Simple Patterns

Lean Startup „Perseverance“vs. „Genchi Gembutsu“gotocon.com/dl/goto-zurich-leaders-2013/slides/... · •Lean startup way •Examples •Conclusions Based on the Book: The

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What goes wrong when thousands of engineers share the same ...gotocon.com/dl/goto-aar-2013/slides/EranMesseri_WhatGoesWrong… · Continuous integration with presubmit capabilities

Randomized Branch Sampling (RBS): Size software …gotocon.com/dl/goto-cph-2015/slides/DimitarBakardzhiev_Randomized... · Randomized Branch Sampling (RBS): Size software projects

Thinking Parallel: Generating Parallel Erlang Programs ...gotocon.com/dl/goto-zurich-2013/slides/Kevin... · Thinking Parallel Fundamentally, programmers must learn to think parallel

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GOTO Blog – GOTO Conferences bring together software ...gotocon.com/.../slides/BrianGoetz_LambdasInJavaAPeekUnderTheH… · Author: Brian Goetz Created Date: 9/25/2013 8:31:38 PM

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The Front End Architecture Revolution - GOTO …gotocon.com/dl/goto-chicago-2015/slides/DavidNolen_The...ClojureScript ๏ Now industry leading experts on effective UI/UX over immutable

Lean Startup „Perseverance“vs. „Genchi Gembutsu“gotocon.com/dl/goto-zurich-2013/slides/FrediSchmidli...•Lean startup way •Examples •Conclusions Based on the Book: The

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Xamarin.Forms: Native iOS, Android, and Windows Phone apps ...gotocon.com/dl/goto-aar-2014/slides/JamesMontemagno_XamarinForm… · Xamarin.Forms: Native iOS, Android, and Windows

Using elasticsearch, logstash and kibana to create ...gotocon.com/dl/goto-berlin-2014/GOTO_Night/logstash-kibana-intro.pdfUsing elasticsearch, logstash and kibana to create realtime

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ansible - GOTO Blog – GOTO Conferences bring …gotocon.com/dl/goto-amsterdam-2014/slides/AlanvanDam_and...•Requires no additional software on the hosts •Declarative actions

CROSS COMPILING WITH JAVASCRIPT - GOTO …gotocon.com/.../MiguelAngelPastor_CrossCompilingWithJavascript.pdf · HTML5/WebGL PC ready ... Cross compiling Memory access Typed arrays

Moving Faster: Why Intent Media Chose Cascalog for Data ...gotocon.com/dl/goto-chicago-2014/slides/KurtSchrader_MovingFasterWhyWe... · Moving Faster: Why Intent Media Chose Cascalog

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Apache Lucene - a library retrieving data for millions …gotocon.com/dl/goto-amsterdam-2011/slides/SimonWillnauer_Apache...Apache Lucene - a library retrieving data for millions of

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Transforming a running legacy application into high ...gotocon.com/dl/goto-aar-2012/slides/MortenJokumsen... · LEGACY APPLICATION INTO HIGH SCALABLE ARCHITECTURE ... ADO.NET Entity

Spark dataframe

How We’re Failing To Secure The “Internet Of Things”gotocon.com/dl/goto-amsterdam-2014/slides/MarkStanislav_HowWere... · IoT Growth Estimates ... The camera’s mobile app

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output - GOTO Blog – GOTO Conferences bring together …gotocon.com/dl/goto-berlin-2014/slides/AdrianMouat... ·  · 2014-11-25ACHIEVING ZEN THROUGH BUNDLING APPLICATIONS W TH

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