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Internet Connection Quality Evaluation Tool The NetTest platform

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(1)

Internet Connection

Quality Evaluation Tool

The NetTest platform

(2)

Key Issues Of Internet Connection Quality

Evaluation

Main indicator of internet connection quality = bandwidth available to the user

For the user, it is very important to be able to measure and compare the key

aspects of their internet connection with other users.

Key aspects of internet connection:

Download Speed

Upload Speed

Ping

Signal Strength

Network Neutrality

Representative test results

Comparable test results between users

Statistical analysis and visual illustration via heatmap

(3)

declared coverage

actually measured coverage via nettest

Comparing declared and actually measured

coverage map of a provider

(4)

3

rd

parties /

institutions

End users

Regulator

employees

Regulator server side

NetTest architecture

Test server Control server Database server Map server Web server formal reports measurements customer information distribution distribution Administration

(5)

Key tools of the NetTest platform

detailed test overview

in-depth test statistics

evaluation and comparison of tests of all users

test synchronisation on multiple devices

own test history for all users

help and support (FAQ)

(6)

Features of the NetTest platform

NetTest is fully in compliance with BEREC report from 8.3.2014 that

recommends parameters of IAS quality monitoring system

complex tool offering

reliable and credible testing

of internet connection

offers complex information regarding

connection quality of all users

(comparing results between end users of all operators)

offers possibility to determine the level of

user satisfaction

with their

internet connection, as well as with their internet provider

detailed comparison of real results with outputs of testing applications of

mobile operators

based on the principles of

crowd sourcing

– very effective data collection

method using smartphones (Android, iOS)* and internet browsers

well-organised, detailed

graphical and statistical depiction

of results, as

well as mapping of testing processes for all users

fast deployment

/ outsourcing-based implementation

open-source

developed solution based on open data principles

(7)

Benefits of the NetTest platform

Reduction in regulator’s operation costs:

less laborious internet connection quality

measurements,

reliable litigation documentation.

End user enablement:

availability of real internet quality data,

efficient complaints resolution,

informed purchasing decision when selecting ISP,

Increased market competition:

increased level of performance experienced by the

users.

(8)

Compliance with BEREC report 1/4

According to report published on 8.3.2014, Body of European Regulators

recommends following parameters of IAS quality monitoring system:

Parameter Recommendation

(as stated in BEREC report)

NetTest compliance

IP layer

measurements

“Measuring at least following IP layer parameters: upload and download speed, delay, jitter, and packet loss ratio.”

Including all types of IAS

“The recommended IP layer metrics are applicable for fixed as well as wireless/mobile Internet access services.”

Monitoring degradation of service

“When evaluating potential degradation of IAS as a whole, BEREC recommends that such measurements are conducted over time to allow trend analysis.”

Crowd-sourcing “Regarding aggregated results, BEREC recommends - for reasons of cost-effectiveness and user-friendliness - that

averaging (based on data gathered from all participating users) should be done based on crowd-sourcing.”

Software-based agent

“Implement end user transparency measurements in a user-friendly manner (a software-based measurement agent downloaded to end user equipment).”

(9)

Compliance with BEREC report 2/4

According to report published on 8.3.2014, Body of European Regulators

recommends following parameters of IAS quality monitoring system:

Parameter Recommendation

(as stated in BEREC report)

NetTest compliance

Accuracy “Accuracy requires that results are obtained from a clearly defined population and their statistical treatment is well documented, so that results can be interpreted without bias.”

Comparability “This includes “plain” comparability of individual sample

measurements, but also comparability at higher levels, such as comparability between IASes, and between countries when possible, so that degradation … can be identified with a sufficient level of confidence.”

Security “The system components must be robust and protected against security attacks, and availability, integrity and confidentiality of the measurement data must be secured during storage and transmission.”

(10)

Compliance with BEREC report 3/4

According to report published on 8.3.2014, Body of European Regulators

recommends following parameters of IAS quality monitoring system:

Parameter Recommendation

(as stated in BEREC report)

NetTest compliance

Privacy “This implies that the user must be informed which data are collected, for what purpose and what information shall be included, how data will be used, and specifically that some information may be made available to the public.”

Legal value “The system governance must be designed in a way which mitigates conflicts of interest and ensures credible results. The provider of a quality measurement system should keep in mind that measurements undertaken with their system may imply legal usage of these measurement results (e.g. before a court).”

End user enablement

“For regulators to set up a measurement system with the overall aim of being objective and provider-independent and enabling users to undertake measurements implies and maybe even

intends that an end user will rely on and make further use of the measurement results.”

(11)

Compliance with BEREC report 4/4

According to report published on 8.3.2014, Body of European Regulators

recommends following parameters of IAS quality monitoring system:

Parameter Recommendation

(as stated in BEREC report)

NetTest compliance

Future-proof “The system design should ensure flexibility, extensibility, scalability and adaptability.”

Open source code

“Details about the measurement methodology should be made available, and open source code should be considered as an option to achieve this requirement. Knowledge of source code is therefore the ultimate tool to make the measurement

methodology transparent.”

Open data principle

“Furthermore, transparency of collected data (“open data”) should also be sought, with due respect for the limitations of national legislation.”

Cost-effectivness

“This implies that cost-effectiveness should also be applied as a general rule-of-thumb to all phases of the measurement system lifecycle, like development, deployment and operation.”

(12)

Specure Andreas Gaber, alladin-IT GmbH Kaiserstraße 8/11, 1070 Wien, Austria +43 1 890 08 47 [email protected]

Specure

Jozef Svrček, Martes s.r.o.

Dlhá ulica 88, 010 09 Žilina, Slovakia SK: +421 41 56289 33, AT +43 1 2646932 [email protected]

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