📱Telco

Overview

The objective of this project is provide a set of examples that demonstrates some of the core Joule platform capabilities. Each use case builds upon the previous to represent how use cases can be built and tested incrementally with the final use case combining all functionality to demonstrate a simple direct telco marketing campaign using simulated streaming mobile events and geospatial analytics.

A set of use case examples have been defined as a sequence to gain how incremental functionality is developed for a target use case. We start from the basic filtering of user events to direct marketing using real-time geospatial triggers. All use cases source event data from a basic mobile event simulator described further in the document.

1. IMSI Opt-out filtering

2. Enrich events with device information

3. Anonymise IMSI field

4. Trigger location tracking using predefined geofences

5. Generate geospatial marketing messages based on location

Good to know: depending on the product you're building, it can be useful to explicitly document use cases. Got a product that can be used by a bunch of people in different ways? Maybe consider splitting it out!

Setting up

Install

Clone the project repository is hosted on Gitlab

Build

By building the example locally you will have the flexibility to create new use cases, analytics, processors, transports and contribute back the to project. Build the project in the root directory by following the below instructions.

First build the project

gradle clean build && cd build/distributions 
    && unzip fractalworks-telco-example-1.0.zip 
    && cd fractalworks-telco-example-1.0 
    && chmod +x bin/*.sh

Run

Start joule processor

./bin/startJoule.sh

Events will be generated, published, consumed, process and finally published to InfluxDB and ready to be visualised in Grafana.

Components

The following Joule platform components are used

Processors

• Filtering

• Anonymisation

• Geospatial

• Joule SDK for custom plugins

Integrations

• Geode, caching layer to provide low latency data to processing clients, integrated to Postgres

• Postgres, database holding reference data and hosted with in a Docker container

• InfluxDB, time series database for processed events

Joule Image

The latest Joule image can be pulled from the following docker hub link

Event Simulator

Events for these examples are generated using a simulator, events are modelled on simple mobile events. The simulator has been developed using the Joule SDK by extending the AbstractConsumerTransport class.

Events are generated for five IMSIs to simulate entities moving through London streets. The default journey provided has IMSIs travelling from Waterloo station to St Pauls and back until the example process is stopped Each IMSI speed and direction is dynamically set on each movement iteration to simulate the general movement of entities in the system. Along with entity movement, the algorithm sets the corresponding connected cell tower, geospatial coordinates, data usage and dropped calls.

Event Structure

The following fields are available on each event

- ingestTime
- eventTime
- imsi
- imei
- bundleid
- bytesUp
- bytesDown
- epsAttachAttempts
- smsMo2gFailRate
- droppedCall
- latlng
- celltower

Note

You can provide your own journey path, see the below example, and geofences, see further down in the document

cat conf/sources/mobileSimulatedLondonTubeTripStream.yaml

Support

Creating examples and a platform takes a significant amount of work. Joule is independently developed, funded and maintained by Fractalworks Ltd. If you would like to support please contact Fractalworks enquiries