using geoservices in digital platform economies · 2017. 5. 7. · analytics, and mapping...

© 2017 TM Forum | 1

Using GeoServices

in Digital Platform

Economies

Patrick HulsTechnical Evangelist

Esri

© 2017 TM Forum | 2

GeoServices

▪ Engineering

▪ Planning

▪Operations

▪Marketing

▪ Sales

▪ Support

long supported business operations by providing analysis, data management,

and mapping visualizations

© 2017 TM Forum | 3

GeoServices

▪ Location Based Services

Smart Cities

Home Automation

▪ Location Aware Apps

▪ Internet of Things (IoT)

providing value add to digital platform economies with same capabilities

© 2017 TM Forum | 4

Internet of Things

Public Safetypolice fire

surveillance

Public Healthhospitals ambulances

Transitbuses taxis rail

trains crowds

Connected Carsautonomous driving traffic conditions holes

parking meters road conditions slippery areas

network improvements

Energy Usageelectricity gas smart

meters

City Workerssanitation snow plows

Airportsflight status queues

plane location runway status

Buildingslightinghvac

occupancy counts

IoT

Environmentnoise co2 nitrates

gases temperature humidity

atmospheric pressure radiation

pesticides electromagnetic feedback

rain gauges water level gauges

water quality air quality

Weatherwarnings

earthquakes

precipitation icy conditions

Peoplehealth monitoring

social activityTelecommunications

cell phone signals dropped calls

© 2017 TM Forum | 5

for real-time GeoServices deployed in digital platform ecosystems

Considerations

visualizeingest

storeanalyze

© 2017 TM Forum | 6

deployed across multiple nodes and cores

Containerized Microservices

visualizeingest

storeanalyze

containerization

© 2017 TM Forum | 7

container types

Microservice GeoServices

Spatiotemporal

archive

Batch analytic

Source ingestion

Eventhub

Real-Time analytic

0 to many 0 to few 0 to many 0 to few 0 to many

a lightweight

“GeoEvent Input”

distributed micro-service

a lightweight

“GeoEvent event hub”


a lightweight

“GeoEvent Service”


a lightweight

“spatiotemporal big data store”


a lightweight

“GeoAnalytics”


Mapservice

0 to many

a lightweight

“map & feature service”


© 2017 TM Forum | 8

Supporting a Smart City Use Case

Real-time GeoServices

Sensors

DesktopWeb Device

spatiotemporal

archive

real-time

batch

sources

hubs

mapping

Use Case:

# of Devices:

How often do they report?

Smart Cities

1,000,000

every 1 second

Smart Cities

© 2017 TM Forum | 9



in-the-cloud

Source

Ingestion Task

Real-Time Hub

Task

Real-Time Analytic

Task

Spatiotemporal

Archival Task

Batch Analytic

Task

DesktopWeb Device

30 nodes240 cores, 840GB ram, 12TB ssd

50 nodes400 cores, 1.4TB ram, 20TB ssd

4 cores,14GB ram,100GB ssd

4 cores,14GB ram,300GB ssd

8 cores, 28GB ram, 400GB ssd

2 cores,4 GB ram,50GB ssd



8 cores, 28GB ram, 400GB ssdSmart Cities

f( )Sources + Hubs +

Real-Time Analytics

+ Mappingf( )Spatiotemporal Archive

+ Batch Analytics +

Mapping

Mapping

Task

8 cores

28GB ram

400GB ssd

© 2017 TM Forum | 10



in-the-cloud

Source

Ingestion Task

Real-Time

Task

Real-Time

Analytic Task

Spatiotemporal

Archival Task

Batch

Analytic Task

DesktopWeb Device

Real-Time GeoServices80 nodes, 640 cores, 2.24TB ram, 32TB ssd

Mapping

Task

Smart Cities

© 2017 TM Forum | 11

Task Type:

Task Name:

Instances:

Cores:

Memory:

Disk Space:

Mapping Task

ArcGIS

3

8

28GB

400GB



in-the-cloud

Source

Ingestion Task

Real-Time

Task

Real-Time

Analytic Task

Spatiotemporal

Archival Task

Batch

Analytic Task

DesktopWeb Device


Mapping

Task

Smart Cities

© 2017 TM Forum | 12

Task Type:

Task Name:

Instances:

Cores:

Memory:

Disk Space:

Constraints:

Source Ingestion Task

sit

7

8

28GB

400GB



in-the-cloud

Source

Ingestion Task

Real-Time

Task

Real-Time

Analytic Task

Spatiotemporal

Archival Task

Batch

Analytic Task

DesktopWeb Device


Mapping

Task

Smart Cities

© 2017 TM Forum | 13

Task Type:

Task Name:

Instances:

Cores:

Memory:

Disk Space:

Constraints:

Real-Time Hub Task

broker-0…19

20

2

10GB

200GB

not SAT



in-the-cloud

Source

Ingestion Task

Real-Time

Task

Real-Time

Analytic Task

Spatiotemporal

Archival Task

Batch

Analytic Task

DesktopWeb Device


Mapping

Task

Smart Cities

© 2017 TM Forum | 14

Task Type:

Task Name:

Instances:

Cores:

Memory:

Disk Space:

Constraints:

Real-Time Analytic Task

rat1

20

6

14GB

100GB

!= storage



in-the-cloud

Source

Ingestion Task

Real-Time

Task

Real-Time

Analytic Task

Spatiotemporal

Archival Task

Batch

Analytic Task

DesktopWeb Device


Mapping

Task

Smart Cities

© 2017 TM Forum | 15

Task Type:

Task Name:

Instances:

Cores:

Memory:

Disk Space:

Constraints:

Real-Time Analytic Task

rat2…n

20

8

28GB

400GB

!= storage



in-the-cloud

Source

Ingestion Task

Real-Time

Task

Real-Time

Analytic Task

Spatiotemporal

Archival Task

Batch

Analytic Task

DesktopWeb Device


Mapping

Task

Smart Cities

© 2017 TM Forum | 16

Task Type:

Task Name:

Instances:

Cores:

Memory:

Disk Space:

Constraints:

Spatiotemporal Archive Task

sat1

30

4

14GB

300GB

disk = ssd



in-the-cloud

Source

Ingestion Task

Real-Time

Task

Real-Time

Analytic Task

Spatiotemporal

Archival Task

Batch

Analytic Task

DesktopWeb Device


Mapping

Task

Smart Cities

© 2017 TM Forum | 17

Task Type:

Task Name:

Instances:

Cores:

Memory:

Disk Space:

Constraints:

Batch Analytic Task

bat1

30

4

14GB

100GB

on storage



in-the-cloud

Source

Ingestion Task

Real-Time

Task

Real-Time

Analytic Task

Spatiotemporal

Archival Task

Batch

Analytic Task

DesktopWeb Device


Mapping

Task

Smart Cities

© 2017 TM Forum | 18

Supporting new digital services and business operations


Smart City

Sensors

DesktopWeb Device

spatiotemporal

archive

real-time

batch

sources

hubs

mapping

Use Case:

# of Devices:


Smart Cities

1,000,000

every 1 second

© 2017 TM Forum | 19

Supporting new digital services and business operations


Smart City

Sensors

DesktopWeb Device

spatiotemporal

archive

real-time

batch

sources

hubs

mapping

Use Case:

# of Devices:


Smart Cities

1,000,000

every 1 second

DesktopWeb Device

spatiotemporal

archive

real-time

batch

sources

hubs

mapping

CDRs

Use Case:

# of Devices:


CDR Analysis

10,000,000

every .01 second

© 2017 TM Forum | 23

Closing

▪GeoServices provide geographic data management,

analytics, and mapping visualizations to digital platform

economies

© 2017 TM Forum | 24

Closing



economies

▪ Containerized micro-GeoService architectures can enable

high velocity, high volume location based IoT data

© 2017 TM Forum | 26

Closing



economies



▪ Supports current business operations and new digital

services

▪GeoServices align with the TM Forum Digital Platform

Reference Architecture and open Location APIs

© 2017 TM Forum | 27

Questions?

Patrick HulsTechnical Evangelist – Telecommunications & Cable

[email protected]

@SpatialNinja

using geoservices in digital platform economies · 2017. 5. 7. · analytics, and mapping...

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