Internet DRAFT - draft-linsner-lmap-use-cases
draft-linsner-lmap-use-cases
INTERNET-DRAFT Marc Linsner
Intended Status: Informational Cisco Systems
Expires: April 5, 2014 Philip Eardley
Trevor Burbridge
BT
October 2, 2013
Large-Scale Broadband Measurement Use Cases
draft-linsner-lmap-use-cases-04
Abstract
Measuring broadband performance on a large scale is important for
network diagnostics by providers and users, as well for as public
policy. To conduct such measurements, user networks gather data,
either on their own initiative or instructed by a measurement
controller, and then upload the measurement results to a designated
measurement server. Understanding the various scenarios and users of
measuring broadband performance is essential to development of the
system requirements. The details of the measurement metrics
themselves are beyond the scope of this document.
Status of this Memo
This Internet-Draft is submitted to IETF in full conformance with the
provisions of BCP 78 and BCP 79.
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http://www.ietf.org/1id-abstracts.html
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Copyright and License Notice
Copyright (c) 2013 IETF Trust and the persons identified as the
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Table of Contents
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 3
1.1 Terminology . . . . . . . . . . . . . . . . . . . . . . . . 3
2 Use Cases . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2.1 Internet Service Provider (ISP) Use Case . . . . . . . . . . 3
2.2 Regulators . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.2.1 Measurement Providers . . . . . . . . . . . . . . . . . 5
2.2.2 Benchmarking and competitor insight . . . . . . . . . . 5
2.3 Fixed and Mobile Service . . . . . . . . . . . . . . . . . . 6
3 Details of ISP Use Case . . . . . . . . . . . . . . . . . . . . 6
3.1 Existing Capabilities and Shortcomings . . . . . . . . . . . 6
3.2 Understanding the quality experienced by customers . . . . . 7
3.3 Understanding the impact and operation of new devices and
technology . . . . . . . . . . . . . . . . . . . . . . . . . 8
3.4 Design and planning . . . . . . . . . . . . . . . . . . . . 9
3.5 Identifying, isolating and fixing network problems . . . . . 10
3.6 Comparison with the regulator use case . . . . . . . . . . . 12
3.7 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . 13
4 Security Considerations . . . . . . . . . . . . . . . . . . . . 14
5 IANA Considerations . . . . . . . . . . . . . . . . . . . . . . 14
Appendix A. End User Use Case . . . . . . . . . . . . . . . . . . 14
Contributors . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Normative References . . . . . . . . . . . . . . . . . . . . . . . 15
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . . 15
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1 Introduction
Large-scale measurement efforts in [LMAP-REQ] describe three use
cases to be considered in deriving the requirements to be used in
developing the solution. This documents attempts to describe those
use cases in further detail and include additional use cases.
1.1 Terminology
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in RFC 2119 [RFC2119].
2 Use Cases
2.1 Internet Service Provider (ISP) Use Case
An ISP, or indeed another network operator, needs to understand the
performance of their networks, the performance of the suppliers
(downstream and upstream networks), the performance of services, and
the impact that such performance has on the experience of their
customers. In addition they may also desire visibility of their
competitor's networks and services in order to be able to benchmark
and improve their own offerings. Largely the processes that ISPs
operate (which are based on network measurement) include:
o Identifying, isolating and fixing problems in the network,
services or with CPE and 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 users understand
whether the problem exists in their home network or with an over-
the-top service instead of with their BB product.
o Design and planning. Through identifying 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. SLAs may be defined at
network or product boundaries.
o Benchmarking and competitor insight. The operation of sample
panels across competitor products can enable and ISP to assess
where they play in the market, identify opportunities where other
products operate different technology, and assess the performance
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of network suppliers that are common to both operators.
o Understanding the quality experienced by customers. Alongside
benchmarking competitors, gaining better insight into the user's
service through a sample panel of the operator's own customers.
The end-to-end perspective matters, across home /enterprise
networks, peering points, CDNs etc.
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 impact on other services 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 Regulators
Regulators in jurisdictions around the world are responding to
consumers' adoption of broadband technology solution for traditional
telecommunications and media services by reviewing the historical
approaches to regulating these industries and services and in some
cases modifying existing approaches or developing new solutions.
Some jurisdictions have responded to a perceived need for greater
information about broadband performance in the development of
regulatory policies and approaches for broadband technologies by
developing large-scale measurement programs. Programs such as the
U.S. Federal Communications Commission's Measuring Broadband America,
U.K. Ofcom's UK Broadband Speeds reports and a growing list of other
programs employ a diverse set of operational and technical approaches
to gathering data in scientifically and statistical robust ways to
perform analysis and reporting on diverse aspects of broadband
performance.
While each jurisdiction responds to distinct consumer, industry, and
regulatory concerns, much commonality exists in the need to produce
datasets that are able to compare multiple broadband providers,
diverse technical solutions, geographic and regional distributions,
and marketed and provisioned levels and combinations of broadband
services.
Regulators role in the development and enforcement of broadband
policies also require that the measurement approaches meet a high
level of verifiability, accuracy and fairness to support valid and
meaningful comparisons of broadband performance
LMAP standards could answer regulators shared needs by providing
scalable, cost-effective, scientifically robust solutions to the
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measurement and collection of broadband performance information.
2.2.1 Measurement Providers
In some jurisdictions, the role of measuring is provided by a
measurement provider. Measurement providers measure a network
performance from users to multiple content providers to show a
performance of the actual network. Users need to know a performance
that are using. In addition, they need to know a performance of other
ISP of same location as information for selecting the network.
Measurement providers will show the measurement result with
measurement methods and measurement parameters.
2.2.2 Benchmarking and competitor insight
An operator may want to check that the results reported by the
regulator match its own belief about how its network is performing.
There is quite a lot of variation in underlying line performance for
customers on (say) a nominal 20Mb/s service, so it is possible for
two panels of ~100 probes to produce different results.
An operator may also want more detailed understanding of its
competitors, beyond that reported by the regulator - probably by
getting a third party to establish a panel of probes in its rival
ISPs. Measurements could, for example, help an operator: target its
marketing by showing that it's 'best for video streaming' but 'worst
for web browsing'; gain detailed insight into the strengths and
weaknesses of different access technologies (DSL vs cable vs
wireless); understand market segments that it currently doesn't
serve; and so on.
The characteristics of large scale measurements that emerge from
these examples are very similar to the sub use case above:
1. Averaged data (over say 1 month) is generally ok
2. A panel (subset) of only a few customers is OK
3. Both active and passive measurements are possible, though the
former seems easier
4. Regularly scheduled tests are fine (providing active tests
back off if the customer is using the line). Scheduling can be
done some time ahead ('starting tomorrow, run the following test
every day').
5. The performance metrics are whatever the operator wants to
benchmark. As well as QoE measures, it may want to measure some
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network-specific parameters.
6. As well as the performance of the access link, the performance
of different network segments, including end-to-end.
2.3 Fixed and Mobile Service
From a consumer perspective, the differentiation between fixed
broadband and mobile (cellular) service is blurring as the
applications used are very similar. Hence, similar measurements will
take place on both fixed and mobile broadband services.
3 Details of ISP Use Case
3.1 Existing Capabilities and Shortcomings
In order to get reliable benchmarks some ISPs use vendor provided
hardware measurement platforms that connect directly to the home
gateway. These devices typically perform a continuous test schedule,
allowing the operation of the network to be continually assessed
throughout the day. Careful design ensures that they do not
detrimentally impact the home user experience or corrupt the test
results by testing when the user is also using the Broadband line.
While the test capabilities of such probes are good, they are simply
too expensive to deploy on mass scale to enable detailed
understanding of network performance (e.g. to the granularity of a
single backhaul or single user line). In addition there is no easy
way to operate similar tests on other devices (eg set top box) or to
manage application level tests (such as IPTV) using the same control
and reporting framework.
ISPs also use speed and other diagnostic tests from user owned
devices (such as PCs, tablets or smartphones). These often use
browser related technology to conduct tests to servers in the ISP
network to confirm the operation of the user BB access line. These
tests can be helpful for a user to understand whether their BB line
has a problem, and for dialogue with a helpdesk. However they are not
able to perform continuous testing and the uncontrolled device and
home network means that results are not comparable. Producing
statistics across such tests is very dangerous as the population is
self-selecting (e.g. those who think they have a problem).
Faced with a gap in current vendor offerings some ISPs have taken the
approach of placing proprietary test capabilities on their home
gateway and other consumer device offerings (such as Set Top Boxes).
This also means that different device platforms may have different
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and largely incomparable tests, developed by different company sub-
divisions managed by different systems.
3.2 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", ie a measurement probe is deployed to a few 100 or 1000 of
its customers. The panel needs to be a representative sample for each
of the operator's technologies (FTTP, FTTC, ADSL...) and broadband
options (80Mb/s, 20Mb/s, basic...), ~100 probes for each. The
operator would like the end-to-end view of the service, rather than
(say) just the access portion. So as well as simple network
statistics like speed and loss rates they want to understand what the
service feels like to the customer. This involves relating the pure
network parameters to something like a 'mean opinion score' 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, ie 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 real 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.
From an operator's viewpoint, understanding customers better enables
it to offer better services. Also, simple metrics can be more easily
understood by senior managers who make investment decisions and by
sales and marketing.
The characteristics of large scale measurements that emerge from
these examples:
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1. Averaged data (over say 1 month) is generally ok
2. A panel (subset) of only a few customers is OK
3. Both active and passive measurements are possible, though the
former seems easier
4. Regularly scheduled tests are fine (providing active tests
back off if the customer is using the line). Scheduling can be
done some time ahead ('starting tomorrow, run the following test
every day').
5. The operator needs to devise metrics and compound measures
that represent the QoE
6. End-to-end service matters, and not (just) the access link
performance
3.3 Understanding the impact and operation of new devices and technology
Another type of measurement is to test new capabilities and services
before they are rolled out. For example, the operator may want to:
check whether a customer can be upgraded to a new broadband option;
understand the impact of IPv6 before it makes it available to its
customers (will v6 packets get through, what will the latency be to
major websites, what transition mechanisms will be most is
appropriate?); check whether a new capability can be signaled using
TCP options (how often it will be blocked by a middlebox? - along the
lines of some existing experiments) [Extend TCP]; investigate a
quality of service mechanism (eg checking whether Diffserv markings
are respected on some path); and so on.
The characteristics of large scale measurements that emerge from
these examples are:
1. New tests need to be devised that test a prospective
capability.
2. Most of the tests are probably simply: "send one packet and
record what happens", so an occasional one-off test is sufficient.
3. A panel (subset) of only a few customers is probably OK, to
gain an understanding of the impact of a new technology, but it
may be necessary to check an individual line where the roll-out is
per customer.
4. An active measurement is needed.
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3.4 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 utilisation (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 better information, 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.
It may also be possible to run stress tests for risk analysis, for
example 'if whizzy new application (or device) becomes popular, which
parts of my network would struggle, what would be the impact on other
services and how many customers would be affected'. What-if
simulations could help quantify the advantage that a new technology
brings and support the business case for larger roll-out. This
approach should allow good results with measurements from a limited
panel of customers.
Another example is that the operator may want to monitor performance
where there is a service level agreement. 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.
The characteristics of large scale measurements emerging from these
examples:
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1. A key challenge is how to integrate results from measurements
into existing network planning and management tools
2. New tests may need to be devised for the what-if and risk
analysis scenarios.
3. Capacity constraints first reveal themselves during atypical
events (early warning). So averaging of measurements should be
over a much shorter time than the sub use case discussed above.
4. A panel (subset) of only a few customers is OK for most of the
examples, but it should probably be larger than the QoE use case
#1 and the operator may also want to regularly change who is in
the subset, in order to sample the revealing outliers.
5. Measurements over a segment of the network ("end-to-middle")
are needed, in order to refine understanding, as well as end-to-
end measurements.
6. The primary interest is in measuring specific network
performance parameters rather than QoE.
7. Regularly scheduled tests are fine
8. Active measurements are needed; passive ones probably aren't
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.
One example was described in [IETF85-Plenary]. The operator was
running a measurement panel for reasons discussed in sub use case #1.
It was noticed that the performance of some lines had unexpectedly
degraded. This led to a detailed (off-line) investigation which
discovered that a particular home gateway upgrade had caused a
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(mistaken!) drop in line rate.
Another example is that occasionally some internal network management
event (like re-routing) can be customer-affecting (of course this is
unusual). This affects a whole group of customers, for instance those
on the same DSLAM. Understanding this will help an operator fix the
fault more rapidly and/or allow the affected customers to be informed
what's happening and/or request them to re-set their home hub
(required to cure some conditions). More accurate information enables
the operator to reassure customers and take more rapid and effective
action to cure the problem.
There may also be problems unique to a single user line (e.g. copper
access) that need to be identified.
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. Perhaps 80% 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 over-the-top 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
centre person answering the phone (or e-chat) could trigger a test
and get the result whilst the customer is still on-line session.
The characteristics of large scale measurements emerging from these
examples:
1. A key challenge is how to integrate results from measurements
into the operator's existing Test and Diagnostics system.
2. Results from the tests shouldn't be averaged
3. Tests are generally run on an ad hoc basis, ie specific
requests for immediate action
4. "End-to-middle" measurements, ie across a specific network
segment, are very relevant
5. The primary interest is in measuring specific network
performance parameters and not QoE
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6. New tests are needed for example to check the home network (ie
the connection from the home hub to the set top boxes or to a
tablets on wifi)
7. Active measurements are critical. Passive ones may be useful
to help understand exactly what the customer is experiencing.
3.6 Comparison with the regulator use case
Today an increasing number of regulators measure the performance of
broadband operators. Typically they deploy a few 1000 probes, each of
which is connected directly to the broadband customer's home gateway
and periodically measures the performance of that line. The regulator
ensures they have a set of probes that covers the different ISPs and
their different technology types and contract speeds, so that they
can publish statistically-reasonable average performances.
Publicising the results stimulates competition and so pressurises
ISPs to improve broadband service.
The operator use case has similarities but several significant
differences from the regulator one:
o Performance metrics: A regulator and operator are generally
interested in the same performance metrics. Both would like
standardised metrics, though this is more important for
regulators.
o Sampling: The regulator wants an average across a
representative sample of broadband customers (per operator, per
type of BB contract). The operator also wants to measure
individual lines with a problem.
o Timeliness: The regulator wants to know the (averaged)
performance last quarter (say). For fault identification and
fixing, the operator would like to know the performance at this
moment and also to instruct a test to be run at this moment (so
the requirement is on both the testing and reporting). Also, when
testing the impact of new devices and technology, the operator is
gaining insight about future performance.
o Scheduling: The regulator wants to run scheduled tests
('measure download rate every hour'). The operator also wants to
run one-off tests; perhaps also the result of one test would
trigger the operator to run a specific follow-up test.
o Pre-processing: A regulator would like standard ways of
processing the collected data, to remove outlier measurements and
aggregate results, because this can significantly affect the final
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"averaged" result. Pre-processing is not important for an
operator.
o Historic data: The regulator wants to track how the (averaged)
performance of each operator changes on (say) a quarterly basis.
The operator would like detailed, recent historic data (eg a
customer with an intermittent fault over the last week).
o Scope: To date, regulators have measured the performance of
access lines. An operator also wants to understand the performance
of the home (or enterprise) network and of the end-to-end service,
ie including backbone, core, peering and transit, CDNs and
application /content servers.
o Control of testing and reporting: The operator wants detailed
control. The regulator contracts out the measurement caboodle and
'control' will be via negotiation with its contractor.
o Politics: A regulator has to take account of government targets
(eg UK government: "Our ambition (by 2015) is to provide superfast
broadband (24Mbps) to at least 90 per cent of premises in the UK
and to provide universal access to standard broadband with a speed
of at least 2Mbps.") This may affect the metrics the regulator
wants to measure and certainly affects how they interpret results.
The operator is more focused on winning market share.
3.7 Conclusions
There is a clear need from an ISP point of view to deploy a single
coherent measurement capability across a wide number of heterogeneous
devices both in their own networks and in the home environment. These
tests need to be able to operate from a wide number of locations to a
set of interoperable test points in their own network as well as
spanning supplier and competitor networks.
Regardless of the tests being operated, there needs to be a way to
demand or schedule the tests and critically ensure that such tests do
not affect each other; are not affected by user traffic (unless
desired) and do not affect the user experience. In addition there
needs to be a common way to collect and understand the results of
such tests across different devices to enable correlation and
comparison between any network or service parameters.
Since network and service performance needs to be understood and
analysed in the presence of topology, line, product or contract
information it is critical that the test points are accurately
defined and authenticated.
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Finally the test data, along with any associated network, product or
contract data is commercial or private information and needs to be
protected.
4 Security Considerations
The transport of Controller to MA and MA to Collector traffic must be
protected both in-flight and such that each entity is known and
trusted to each other.
It is imperative that end user identifying data is protected.
Identifying data includes, end user name, time and location of the
MA, and any attributes about a service such as service location,
including IP address that could be used to re-construct physical
location.
5 IANA Considerations
TBD
Appendix A. End User Use Case
End users may want to determine whether their network is performing
according to the specifications (e.g., service level agreements)
offered by their Internet service provider, or they may want to
diagnose whether components of their network path are impaired. End
users may perform measurements on their own, using the measurement
infrastructure they provide or infrastructure offered by a third
party, or they may work directly with their network or application
provider to diagnose a specific performance problem. Depending on
the circumstances, measurements may occur at specific pre-defined
intervals, or may be triggered manually. A system administrator may
perform such measurements on behalf of the user. Example use cases
of end user initiated performance measurements include:
o An end user may wish to perform diagnostics prior to calling
their ISP to report a problem. Hence, the end user could connect
a MA to different points of their home network and trigger manual
tests. Different attachment points could include their in-home
802.11 network or an Ethernet port on the back of their BB modem.
o An OTT or ISP service provider may deploy a MA within an their
service platform to provide the end user a capability to diagnose
service issues. For instance a video streaming service may
include a manually initiated MA within their platform that has the
Controller and Collector predefined. The end user could initiate
performance tests manually, with results forwarded to both the
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provider and the end user via other means, like UI, email, etc.
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
Normative References
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119, March 1997.
[LMAP-REQ] Schulzrinne, H., "Large-Scale Measurement of Broadband
Performance: Use Cases, Architecture and Protocol
Requirements", draft-schulzrinne-lmap-requirements,
September, 2012
[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
Authors' Addresses
Marc Linsner
Marco Island, FL
USA
EMail: mlinsner@cisco.com
Philip Eardley
BT
Linsner, et al. Expires April 5, 2014 [Page 15]
INTERNET DRAFT LMAP Use Cases October 2, 2013
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
Linsner, et al. Expires April 5, 2014 [Page 16]
