Internet DRAFT - draft-ietf-lmap-use-cases
draft-ietf-lmap-use-cases
INTERNET-DRAFT Marc Linsner
Intended Status: Informational Cisco Systems
Expires: August 15, 2015 Philip Eardley
Trevor Burbridge
BT
Frode Sorensen
Nkom
February 11, 2015
Large-Scale Broadband Measurement Use Cases
draft-ietf-lmap-use-cases-06
Abstract
Measuring broadband performance on a large scale is important for
network diagnostics by providers and users, as well as for public
policy. Understanding the various scenarios and users of measuring
broadband performance is essential to development of the Large-scale
Measurement of Broadband Performance (LMAP) framework, information
model and protocol. This document details two use cases that can
assist to developing that framework. The details of the measurement
metrics themselves are beyond the scope of this document.
Status of this Memo
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Copyright and License Notice
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Table of Contents
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 3
2 Use Cases . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2.1 Internet Service Provider (ISP) Use Case . . . . . . . . . . 3
2.2 Regulator Use Case . . . . . . . . . . . . . . . . . . . . . 4
3 Details of ISP Use Case . . . . . . . . . . . . . . . . . . . . 5
3.1 Understanding the quality experienced by customers . . . . . 5
3.2 Understanding the impact and operation of new devices and
technology . . . . . . . . . . . . . . . . . . . . . . . . . 6
3.3 Design and planning . . . . . . . . . . . . . . . . . . . . 6
3.4 Monitoring Service Level Agreements . . . . . . . . . . . . 7
3.5 Identifying, isolating and fixing network problems . . . . . 7
4 Details of Regulator Use Case . . . . . . . . . . . . . . . . . 8
4.1 Providing transparent performance information . . . . . . . 8
4.2 Measuring broadband deployment . . . . . . . . . . . . . . . 9
4.3 Monitoring traffic management practices . . . . . . . . . . 9
6 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . 11
7 Security Considerations . . . . . . . . . . . . . . . . . . . . 13
8 IANA Considerations . . . . . . . . . . . . . . . . . . . . . . 14
Contributors . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Informative References . . . . . . . . . . . . . . . . . . . . . . 14
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . . 17
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1 Introduction
This document describes two use cases for the Large-scale Measurement
of Broadband Performance (LMAP). The use cases contained in this
document are (1) the Internet Service Provider Use Case and (2) the
Regulator Use Case. In the first, a network operator wants to
understand the performance of the network and the quality experienced
by customers, whilst in the second, a regulator wants to provide
information on the performance of the ISPs in their jurisdiction.
There are other use cases that are not the focus of the initial LMAP
work, for example end users would like to use measurements to help
identify problems in their home network and to monitor the
performance of their broadband provider; it is expected that the same
mechanisms are applicable.
Large-scale measurements raise several security concerns, including
privacy issues. These are summarized in Section 7 and considered in
further detail in [framework].
2 Use Cases
From the LMAP perspective, there is no difference between fixed
service and mobile (cellular) service used for Internet access.
Hence, like measurements will take place on both fixed and mobile
networks. Fixed services include technologies like Digital
Subscriber Line (DSL), Cable, and Carrier Ethernet. Mobile services
include all those advertised as 2G, 3G, 4G, and Long-Term Evolution
(LTE). A metric defined to measure end-to-end services will execute
similarly on all access technologies. Other metrics may be access
technology specific. The LMAP architecture covers both IPv4 and IPv6
networks.
2.1 Internet Service Provider (ISP) Use Case
A network operator needs to understand the performance of their
networks, the performance of the suppliers (downstream and upstream
networks), the performance of Internet access services, and the
impact that such performance has on the experience of their
customers. Largely, the processes that ISPs operate (which are based
on network measurement) include:
o Identifying, isolating and fixing problems, which may be in the
network, with the service provider, or in the end user equipment.
Such problems may be common to a point in the network topology
(e.g. a single exchange), common to a vendor or equipment type
(e.g. line card or home gateway) or unique to a single user line
(e.g. copper access). Part of this process may also be helping
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users understand whether the problem exists in their home network
or with a third party application service instead of with their
broadband (BB) product.
o Design and planning. Through monitoring the end user experience
the ISP can design and plan their network to ensure specified
levels of user experience. Services may be moved closer to end
users, services upgraded, the impact of QoS assessed or more
capacity deployed at certain locations. Service Level Agreements
(SLAs) may be defined at network or product boundaries.
o Understanding the quality experienced by customers. The network
operator would like to gain better insight into the end-to-end
performance experienced by its customers. "End-to-end" could, for
instance, incorporate home and enterprise networks, and the impact
of peering, caching and Content Delivery Networks (CDNs).
o Understanding the impact and operation of new devices and
technology. As a new product is deployed, or a new technology
introduced into the network, it is essential that its operation
and its impact is measured. This also helps to quantify the
advantage that the new technology is bringing and support the
business case for larger roll-out.
2.2 Regulator Use Case
A regulator may want to evaluate the performance of the Internet
access services offered by operators.
While each jurisdiction responds to distinct consumer, industry, and
regulatory concerns, much commonality exists in the need to produce
datasets that can be used to compare multiple Internet access service
providers, diverse technical solutions, geographic and regional
distributions, and marketed and provisioned levels and combinations
of broadband Internet access services.
Regulators may want to publish performance measures of different ISPs
as background information for end users. They may also want to track
the growth of high-speed broadband deployment, or to monitor the
traffic management practices of Internet providers.
A regulator's role in the development and enforcement of broadband
Internet access service policies requires that the measurement
approaches meet a high level of verifiability, accuracy and provider-
independence to support valid and meaningful comparisons of Internet
access service performance. Standards can help regulators' shared
needs for scalable, cost-effective, scientifically robust solutions
to the measurement and collection of broadband Internet access
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service performance information.
3 Details of ISP Use Case
3.1 Understanding the quality experienced by customers
Operators want to understand the quality of experience (QoE) of their
broadband customers. The understanding can be gained through a
"panel", i.e. measurement probes deployed to several customers. A
probe is a device or piece of software that makes measurements and
reports the results, under the control of the measurement system.
Implementation options are discussed in Section 5. The panel needs to
include a representative sample of the operator's technologies and
broadband speeds. For instance it might encompass speeds ranging from
sub 8Mbps to over 100Mbps. The operator would like the end-to-end
view of the service, rather than just the access portion. This
involves relating the pure network parameters to something like a
'mean opinion score' [MOS] which will be service dependent (for
instance web browsing QoE is largely determined by latency above a
few Mb/s).
An operator will also want compound metrics such as "reliability",
which might involve packet loss, DNS failures, re-training of the
line, video streaming under-runs etc.
The operator really wants to understand the end-to-end service
experience. However, the home network (Ethernet, WiFi, powerline) is
highly variable and outside its control. To date, operators (and
regulators) have instead measured performance from the home gateway.
However, mobile operators clearly must include the wireless link in
the measurement.
Active measurements are the most obvious approach, i.e., special
measurement traffic is sent by - and to - the probe. In order not to
degrade the service of the customer, the measurement data should only
be sent when the user is silent, and it shouldn't reduce the
customer's data allowance. The other approach is passive measurements
on the customer's ordinary traffic; the advantage is that it measures
what the customer actually does, but it creates extra variability
(different traffic mixes give different results) and especially it
raises privacy concerns. RFC6973] discusses privacy considerations
for Internet protocols in general, whilst [framework] discusses them
specifically for large-scale measurement systems.
From an operator's viewpoint, understanding customer experience
enables it to offer better services. Also, simple metrics can be more
easily understood by senior managers who make investment decisions
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and by sales and marketing.
3.2 Understanding the impact and operation of new devices and technology
Another type of measurement is to test new capabilities before they
are rolled out. For example, the operator may want to:
o Check whether a customer can be upgraded to a new broadband
option
o Understand the impact of IPv6 before it is made available to
customers. Questions such as these could be assessed: will v6
packets get through? what will the latency be to major websites?
what transition mechanisms will be most appropriate?
o Check whether a new capability can be signaled using TCP options
(how often it will be blocked by a middlebox? - along the lines of
the experiments described in [Extend TCP]);
o Investigate a quality of service mechanism (e.g. checking
whether Diffserv markings are respected on some path); and so on.
3.3 Design and planning
Operators can use large scale measurements to help with their network
planning - proactive activities to improve the network.
For example, by probing from several different vantage points the
operator can see that a particular group of customers has performance
below that expected during peak hours, which should help capacity
planning. Naturally operators already have tools to help this - a
network element reports its individual utilization (and perhaps other
parameters). However, making measurements across a path rather than
at a point may make it easier to understand the network. There may
also be parameters like bufferbloat that aren't currently reported by
equipment and/or that are intrinsically path metrics.
With information gained from measurement results, capacity planning
and network design can be more effective. Such planning typically
uses simulations to emulate the measured performance of the current
network and understand the likely impact of new capacity and
potential changes to the topology. Simulations, informed by data from
a limited panel of probes, can help quantify the advantage that a new
technology brings and support the business case for larger roll-out.
It may also be possible to use probes to run stress tests for risk
analysis. For example, an operator could run a carefully controlled
and limited experiment in which probing is used to assess the
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potential impact if some new application becomes popular.
3.4 Monitoring Service Level Agreements
Another example is that the operator may want to monitor performance
where there is a service level agreement (SLA). This could be with
its own customers, especially enterprises may have an SLA. The
operator can proactively spot when the service is degrading near to
the SLA limit, and get information that will enable more informed
conversations with the customer at contract renewal.
An operator may also want to monitor the performance of its
suppliers, to check whether they meet their SLA or to compare two
suppliers if it is dual-sourcing. This could include its transit
operator, CDNs, peering, video source, local network provider (for a
global operator in countries where it doesn't have its own network),
even the whole network for a virtual operator.
Through a better understanding of its own network and its suppliers,
the operator should be able to focus investment more effectively - in
the right place at the right time with the right technology.
3.5 Identifying, isolating and fixing network problems
Operators can use large scale measurements to help identify a fault
more rapidly and decide how to solve it.
Operators already have Test and Diagnostic tools, where a network
element reports some problem or failure to a management system.
However, many issues are not caused by a point failure but something
wider and so will trigger too many alarms, whilst other issues will
cause degradation rather than failure and so not trigger any alarm.
Large-scale measurements can help provide a more nuanced view that
helps network management to identify and fix problems more rapidly
and accurately. The network management tools may use simulations to
emulate the network and so help identify a fault and assess possible
solutions.
An operator can obtain useful information without measuring the
performance on every broadband line. By measuring a subset, the
operator can identify problems that affect a group of customers. For
example, the issue could be at a shared point in the network topology
(such as an exchange), or common to a vendor, or equipment type; for
instance, [IETF85-Plenary] describes a case where a particular home
gateway upgrade had caused a (mistaken!) drop in line rate.
A more extensive deployment of the measurement capability to every
broadband line would enable an operator to identify issues unique to
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a single customer. Overall, large-scale measurements can help an
operator help an operator fix the fault more rapidly and/or allow the
affected customers to be informed what's happening. More accurate
information enables the operator to reassure customers and take more
rapid and effective action to cure the problem.
Often customers experience poor broadband due to problems in the home
network - the ISP's network is fine. For example they may have moved
too far away from their wireless access point. Anecdotally, a large
fraction of customer calls about fixed BB problems are due to in-home
wireless issues. These issues are expensive and frustrating for an
operator, as they are extremely hard to diagnose and solve. The
operator would like to narrow down whether the problem is in the home
(with the home network or edge device or home gateway), in the
operator's network, or with an application service. The operator
would like two capabilities. Firstly, self-help tools that customers
use to improve their own service or understand its performance
better, for example to re-position their devices for better WiFi
coverage. Secondly, on-demand tests that can the operator can run
instantly - so the call center person answering the phone (or e-chat)
could trigger a test and get the result whilst the customer is still
in an on-line session.
4 Details of Regulator Use Case
4.1 Providing transparent performance information
Some regulators publish information about the quality of the various
Internet access services provided in their national market. Quality
information about service offers could include speed, delay, and
jitter. Such information can be published to facilitate end users'
choice of service provider and offer. Regulators may also check the
accuracy of the marketing claims of Internet service providers, and
may also encourage ISPs all to use the same metrics in their service
level contracts. The goal with these transparency mechanisms is to
promote competition for end users and potentially also help content,
application, service and device providers develop their Internet
offerings.
The published information needs to be:
o Accurate - the measurement results must be correct and not
influenced by errors or side effects. The results should be
reproducible and consistent over time.
o Comparable - common metrics should be used across different ISPs
and service offerings, and over time, so that measurement results
can be compared.
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o Meaningful - the metrics used for measurements need to reflect
what end users value about their broadband Internet access
service.
o Reliable - the number and distribution of measurement agents,
and the statistical processing of the raw measurement data, needs
to be appropriate.
In practical terms, the regulators may measure network performance
from users towards multiple content and application providers,
including dedicated test measurement servers. Measurement probes are
distributed to a 'panel' of selected end users. The panel covers all
the operators and packages in the market, spread over urban, suburban
and rural areas, and often includes both fixed and mobile Internet
access. Periodic tests running on the probes can for example measure
actual speed at peak and off-peak hours, but also other detailed
quality metrics like delay and jitter. Collected data goes afterwards
through statistical analysis, deriving estimates for the whole
population. Summary information, such as a service quality index, is
published regularly, perhaps alongside more detailed information.
The regulator can also facilitate end users to monitor the
performance of their own broadband Internet access service. They
might use this information to check that the performance meets that
specified in their contract or to understand whether their current
subscription is the most appropriate.
4.2 Measuring broadband deployment
Regulators may also want to monitor the improvement through time of
actual broadband Internet access performance in a specific country or
a region. The motivation is often to evaluate the effect of the
stimulated growth over time, when government has set a strategic goal
for high-speed broadband deployment, whether in absolute terms or
benchmarked against other countries. An example of such an initiative
is [DAE]. The actual measurements can be made in the same way as
described in Section 4.1.
4.3 Monitoring traffic management practices
A regulator may want to monitor traffic management practices or
compare the performance of Internet access service with specialized
services offered in parallel to but separate from Internet access
service (for example IPTV). A regulator could monitor for
departures from application agnosticism such as blocking or
throttling of traffic from specific applications, or preferential
treatment of specific applications. A measurement system could send,
or passively monitor, application-specific traffic and then measure
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in detail the transfer of the different packets. Whilst it is
relatively easy to measure port blocking, it is a research topic how
to detect other types of differentiated treatment. The paper,
"Glasnost: Enabling End Users to Detect Traffic Differentiation" [M-
Labs NSDI 2010] and follow-on tool "Glasnost" [Glasnost] is an
example of work in this area.
A regulator could also monitor the performance of the broadband
service over time, to try and detect if the specialized service is
provided at the expense of the Internet access service. Comparison
between ISPs or between different countries may also be relevant for
this kind of evaluation.
The motivation for a regulator monitoring such traffic management
practices is that regulatory approaches related to net neutrality and
the open Internet have been introduced in some jurisdictions.
Examples of such efforts are the Internet policy as outlined by the
Body of European Regulators for Electronic Communications Guidelines
for quality of service [BEREC Guidelines] and US FCC Preserving the
Open Internet Report and Order [FCC R&O]. Although legal challenges
can change the status of policy, the take-away for LMAP purposes is
that policy-makers are looking for measurement solutions to assist
them in discovering biased treatment of traffic flows. The exact
definitions and requirements vary from one jurisdiction to another.
5 Implementation Options
There are several ways of implementing a measurement system. The
choice may be influenced by the details of the particular use case
and what the most important criteria are for the regulator, ISP or
third party operating the measurement system.
One type of probe is a special hardware device that is connected
directly to the home gateway. The devices are deployed to a carefully
selected panel of end users and they perform measurements according
to a defined schedule. The schedule can run throughout the day, to
allow continuous assessment of the network. Careful design ensures
that measurements do not detrimentally impact the home user
experience or corrupt the results by testing when the user is also
using the broadband line. The system is therefore tightly controlled
by the operator of the measurement system. One advantage of this
approach is that it is possible to get reliable benchmarks for the
performance of a network with only a few devices. One disadvantage is
that it would be expensive to deploy hardware devices on a mass scale
sufficient to understand the performance of the network at the
granularity of a single broadband user.
Another type of probe involves implementing the measurement
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capability as a webpage or an "app" that end users are encouraged to
download onto their mobile phone or computing device. Measurements
are triggered by the end user, for example the user interface may
have a button to "test my broadband now". One advantage of this
approach is that the performance is measured to the end user, rather
than to the home gateway, and so includes the home network. Another
difference is that the system is much more loosely controlled, as the
panel of end users and the schedule of tests are determined by the
end users themselves rather than the measurement system. It would be
easier to get large-scale, however it is harder to get comparable
benchmarks as the measurements are affected by the home network and
also the population is self-selecting and so potentially biased
towards those who think they have a problem. This could be alleviated
by stimulating widespread downloading of the app and careful post-
processing of the results to reduce biases.
There are several other possibilities. For example, as a variant on
the first approach, the measurement capability could be implemented
as software embedded in the home gateway, which would make it more
viable to have the capability on every user line. As a variant on the
second approach, the end user could initiate measurements in response
to a request from the measurement system.
The operator of the measurement system should be careful to ensure
that measurements do not detrimentally impact users. Potential issues
include:
* Measurement traffic generated on a particular user's line may
impact that end user's quality of experience. The danger is
greater for measurements that generate a lot of traffic over a
lengthy period.
* The measurement traffic may impact that particular user's bill
or traffic cap.
* The measurement traffic from several end users may, in
combination, congest a shared link.
* The traffic associated with the control and reporting of
measurements may overload the network. The danger is greater where
the traffic associated with many end users is synchronized.
6 Conclusions
Large-scale measurements of broadband performance are useful for both
network operators and regulators. Network operators would like to use
measurements to help them better understand the quality experienced
by their customers, identify problems in the network and design
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network improvements. Regulators would like to use measurements to
help promote competition between network operators, stimulate the
growth of broadband access and monitor 'net neutrality'. There are
other use cases that are not the focus of the initial LMAP charter
(although it is expected that the mechanisms developed would be
readily applied), for example end users would like to use
measurements to help identify problems in their home network and to
monitor the performance of their broadband provider.
From consideration of the various use cases, several common themes
emerge whilst there are also some detailed differences. These
characteristics guide the development of LMAP's framework,
information model and protocol.
A measurement capability is needed across a wide number of
heterogeneous environments. Tests may be needed in the home network,
in the ISP's network or beyond; they may be measuring a fixed or
wireless network; they may measure just the access network or across
several networks; at least some of which are not operated by the
measurement provider.
There is a role for both standardized and non-standardized
measurements. For example, a regulator would like to publish
standardized performance metrics for all network operators, whilst an
ISP may need their own tests to understand some feature special to
their network. Most use cases need active measurements, which create
and measure specific test traffic, but some need passive measurements
of the end user's traffic.
Regardless of the tests being operated, there needs to be a way to
demand or schedule the tests. Most use cases need a regular schedule
of measurements, but sometimes ad hoc testing is needed, for example
for troubleshooting. It needs to be ensured that measurements do not
affect the user experience and are not affected by user traffic
(unless desired). In addition there needs to be a common way to
collect the results. Standardization of this control and reporting
functionality allows the operator of a measurement system to buy the
various components from different vendors.
After the measurement results are collected, they need to be
understood and analyzed. Often it is sufficient to measure only a
small subset of end users, but per-line fault diagnosis requires the
ability to test every individual line. Analysis requires accurate
definition and understanding of where the test points are, as well as
contextual information about the topology, line, product and the
subscriber's contract. The actual analysis of results is beyond the
scope of LMAP, as is the key challenge of how to integrate the
measurement system into a network operator's existing tools for
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diagnostics and network planning.
Finally the test data, along with any associated network, product or
subscriber contract data is commercial or private information and
needs to be protected.
7 Security Considerations
Large-scale measurements raise several potential security, privacy
(data protection) [RFC6973] and business sensitivity issues.
1. a malicious party may try to gain control of probes to launch
DoS (Denial of Service) attacks at a target. A DoS attack could be
targeted at a particular end user or set of end users, a certain
network, or a specific service provider.
2. a malicious party may try to gain control of probes to create a
platform for pervasive monitoring [RFC7258], or for more targeted
monitoring. [RFC7258] summarises the threats as: "an attack may
change the content of the communication, record the content or
external characteristics of the communication, or through
correlation with other communication events, reveal information
the parties did not intend to be revealed." For example, a
malicious party could distribute to the probes a new measurement
test that recorded (and later reported) information of maleficent
interest. Similar concerns also arise if the measurement results
are intercepted or corrupted.
* from the end user's perspective, the concerns include a
malicious party monitoring the traffic they send and receive,
who they communicate with and the websites they visit, and
information about their behaviour such as when they are at home
and the location of their devices. Some of the concerns may be
greater when the MA is on the end user's device rather than on
their home gateway.
* from the network operator's perspective, the concerns include
the leakage of commercially-sensitive information about the
design and operation of their network, their customers and
suppliers. Some threats are indirect, for example the attacker
could reconnoitre potential weaknesses, such as open ports and
paths through the network, which enabled it to launch an attack
later.
* from the regulator's perspective, the concerns include
distortion of the measurement tests or alteration of the
measurement results. Also, a malicious network operator could
try to identify the broadband lines that the regulator was
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measuring and prioritise that traffic ("game the system").
3. a measurement system that does not obtain the end user's
informed consent, or fails to specify a specific purpose in the
consent, or uses the collected information for secondary uses
beyond those specified.
4. a measurement system that does not indicate who is responsible
for the collection and processing of personal data and who is
responsible for fulfilling the rights of users. The responsible
party (often termed the "data controller") should, as good
practice, consider issues such as defining:- the purpose for which
the data is collected and used; how the data is stored, accessed,
and processed; how long it is retained for; and how the end user
can view, update, and even delete their personal data. If
anonymized personal data is shared with a third party, the data
controller should consider the possibility that the third party
can de-anonymize it by combining it with other information.
These security and privacy issues will need to be considered
carefully by any measurement system. In the context of LMAP, the
[framework] considers them further along with some potential
mitigations. Other LMAP documents will specify protocol(s) that
enable the measurement system to instruct a probe about what
measurements to make and that enable the probe to report the
measurement results. Those documents will need to discuss solutions
to the security and privacy issues. However, the protocol documents
will not consider the actual usage of the measurement information;
many use cases can be envisaged and, earlier in this document, we
have described some likely ones for the network operator and
regulator.
8 IANA Considerations
None
Contributors
The information in this document is partially derived from text
written by the following contributors:
James Miller jamesmilleresquire@gmail.com
Rachel Huang rachel.huang@huawei.com
Informative References
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[IETF85-Plenary] Crawford, S., "Large-Scale Active Measurement of
Broadband Networks",
http://www.ietf.org/proceedings/85/slides/slides-85-iesg-
opsandtech-7.pdf 'example' from slide 18
[Extend TCP] Michio Honda, Yoshifumi Nishida, Costin Raiciu, Adam
Greenhalgh, Mark Handley and Hideyuki Tokuda. "Is it Still
Possible to Extend TCP?" Proc. ACM Internet Measurement
Conference (IMC), November 2011, Berlin, Germany.
http://www.ietf.org/proceedings/82/slides/IRTF-1.pdf
[framework] Eardley, P., Morton, A., Bagnulo, M., Burbridge, T.,
Aitken, P., Akhter, A. "A framework for large-scale
measurement platforms (LMAP)",
http://datatracker.ietf.org/doc/draft-ietf-lmap-framework/
[RFC6973] Cooper, A., Tschofenig, H.z., Aboba, B., Peterson, J.,
Morris, J., Hansen, M., and R. Smith, "Privacy
Considerations for Internet Protocols", RFC 6973, July
2013.
[RFC7258] Farrell, S., Tschofenig, H., "PPervasive Monitoring Is an
Attack", RFC 7258, May 2014.
[FCC R&O] United States Federal Communications Commission, 10-201,
"Preserving the Open Internet, Broadband Industries
Practices, Report and Order",
http://hraunfoss.fcc.gov/edocs_public/attachmatch/FCC-10-
201A1.pdf
[BEREC Guidelines] Body of European Regulators for Electronic
Communications, "BEREC Guidelines for quality of service
in the scope of net neutrality",
http://berec.europa.eu/eng/document_register/
subject_matter/berec/download/0/1101-berec-guidelines-for-
quality-of-service-_0.pdf
[M-Labs NSDI 2010] M-Lab, "Glasnost: Enabling End Users to Detect
Traffic Differentiation",
http://www.measurementlab.net/download/AMIfv945ljiJXzG-
fgUrZSTu2hs1xRl5Oh-rpGQMWL305BNQh-
BSq5oBoYU4a7zqXOvrztpJhK9gwk5unOe-fOzj4X-vOQz_HRrnYU-
aFd0rv332RDReRfOYkJuagysstN3GZ__lQHTS8_UHJTWkrwyqIUjffVeDxQ/
[Glasnost] M-Lab tool "Glasnost", http://mlab-live.appspot.com/tools/
glasnost
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[P.800] ITU-T, "SERIES P: TELEPHONE TRANSMISSION QUALITY Methods for
objective and subjective assessment of quality",
https://www.itu.int/rec/dologin_pub.asp?lang=e&id=T-REC-
P.800-199608-I!!PDF-E&type=items
[MOS] Wikipedia, "Mean Opinion Score",
http://en.wikipedia.org/wiki/Mean_opinion_score
[DAE] Digital Agenda for Europe, COM(2010)245 final, Communication
from the Commission to the European Parliament, the
Council, the European Economic and Social Committee and
the Committee of the Regions, http://eur-
lex.europa.eu/legal-
content/EN/TXT/PDF/?uri=CELEX:52010DC0245&from=EN
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Authors' Addresses
Marc Linsner
Cisco Systems, Inc.
Marco Island, FL
USA
EMail: mlinsner@cisco.com
Philip Eardley
BT
B54 Room 77, Adastral Park, Martlesham
Ipswich, IP5 3RE
UK
Email: philip.eardley@bt.com
Trevor Burbridge
BT
B54 Room 77, Adastral Park, Martlesham
Ipswich, IP5 3RE
UK
Email: trevor.burbridge@bt.com
Frode Sorensen
Norwegian Communications Authority (Nkom)
Lillesand
Norway
Email: frode.sorensen@nkom.no
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