1. Use Case #2: Large Events
Antonia Schwichtenberg, CAS
Richard Wacker, YM and Jamie Marshall, AMEN
October 10, 2018
Seoul

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Outline
Introduction
Requirements and Challenges
Architecture of the solution
BASMATI Contribution
Simulation of the real DAS FEST demonstrator
Evaluation results
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Main Goal & Objectives
Goal: Provide DAS FEST with more insight into the dynamics of people‘s movement under varying conditions (running order, weather, train arrivals,…)
Objective: Providing stable, easy to use and cost effective monitoring of asynchronous crowd density
By BASMATIzing edge and backend
Provide one management interface for edge and backend
Provide cloud-based backend resources
Adjust resources to meet the current demand at any time
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Requirements and Challenges
Environmental Challenges and Requirements:
Up to visitors at peak times, ~ in total
Challenging characteristics of the area (topology, technical constraints)
Overloaded mobile infrastructure
Hard conditions regarding other modes of connectivity
Organizational and financial challenges
Hard budget limitations as ticket price are and shall be low
Simple and reliable – voluntary non-professionals in the DAS FEST team
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Requirements and Challenges
Environmental Challenges and Requirements:
Up to visitors at peak times, ~ in total
Challenging characteristics of the area (topology, technical constraints)
Overloaded mobile infrastructure
Hard conditions regarding other modes of connectivity
Organizational and financial challenges
Hard budget limitations as ticket price are and shall be low
Simple and reliable – voluntary non-professionals in the DAS FEST team
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Requirements and Challenges
Environmental Challenges and Requirements:
Up to visitors at peak times, ~ in total
Challenging characteristics of the area (topology, technical constraints)
Overloaded mobile infrastructure
Hard conditions regarding other modes of connectivity
Organizational and financial challenges
Hard budget limitations as ticket price are and shall be low
Simple and reliable – voluntary non-professionals in the DAS FEST team
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Localization of the Pis
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Application workflow
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Architecture
Control
Raw data
VPN for bulk wifi data
- On site at das fest the basmati platform on a hardware machine controls a set of raspberry pis.
In the cloud, the basmati platform in a virtual machine controls all aspects of application resource deployment.
One scalability engine allocates pis for wifi data sensing at strategic places on the festival site.
The other scaling engine responds to signals from the load balancer to accommodate trilateration with real-time signal load.
Raw wifi sensing data is transmitted by the pis to the on-site BASMATI and from there it is send over a satellite in bulk to the Basmati Cloud.
The clustering signals components pulls the wifi data from the BASMATI cloud, groups it by MAC address and time period and sends it to the load balancer who makes it available to the trilaterators upon request.
Trilaterators are calculating the geo positions of single festival users (i.e. MAC addresses) by means of the different wifi signal strengths perceived by the pis. The geo positions are stored in a Mongo DB from where the visualization reads the time coordinated data.
The monitoring component allows real time KPI observation of monitoring data provided by BASMATI cloud.
Processed
data
Monitoring data
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Application creation
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Full application deployment
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Monitoring
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WiFi data
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Unique MAC addresses 22nd of July 2018
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Visualization
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BASMATI contribution
BEAM and Application Repository
Description of hardware and software requirements relevant for the automatic deployment of all components
Decision maker
Generate deployment plan
Knowledge Extractor
Prediction of hardware resource demand
Application controller
deploy/undeploy/start/stop/scale up/scale down app component
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BASMATI contribution
Cloud Provider management
Provisioning of cloud resources
Federation management
Communication and management of heterogeneous resources
Cloud and edge resource management
Edge controller
Deployment of Wi-Fi collectors on edge devices
Budamaf
Encryption and storage of signals
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Evaluation methods
Interviews
Automated tests and manual tests
Performance measurements
Monitoring metrics
Component level evaluation
Added value
Technical aspects evaluation
Mapping and fulfillment of project objectives
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Evaluation criteria
Functional suitability
Functional completeness
Functional correctness
Performance
Time behaviour
Resource utilization
Compatibility
Interoperability
Modularity
Adaptability
Usability
Recognisability
Learnability
Operability
User error protection
User interface design
Reliability
Availability
Monitoring
Fault tolerance
Recoverability
Security
Data storage
Data transport
System administration
Maintainability
Analysability
Modifiability
Testability
Installability
Overall
Documentation
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Evaluation results
Functional suitability: very good
Performance: excellent
Time behaviour: Transferring and computing over 7 million single data sets (~1GB of data) in these 3 days was not an issue
Resource utilization: on-site: 8GB RAM, 4 Cores, 1TB disk (not used completely), in the cloud: 4GB, 2 cores, 40GB disk
Mean time to provision new instance and deploy trilaterator: 50 sec
Mean time to scale trilaterator: 1min 41 sec
Compatibility: good
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Evaluation results
Usability: UI Design could be improved
Reliability: excellent
100% availability
Security: All security requirements for the demo fulfilled
Maintainability: good
Overall
Ease of use: could be improved
Usefulness: Very useful
Documentation: Available, but distributed over many sources
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Evaluation results
Overall the use case development, deployment and operation with BASMATI was compared to other solutions very efficient and reliable.
Support from BASMATI partners was necessary for the first deployment but could be done by any dev-op in the future.
Some graphical interfaces could be improved but all relevant functionality was available.
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Acknowledgements:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no and from ICT R&D program of Korean Ministry of Science, ICT and Future Planning no. R
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