Nov 16, 2011 ... ISP C1. ISP B1. ISP C1a. ISP A2. ISP A1b. ISP A2. ISP A1. ISP A1a. ISP C1b ...
Copyright (c) 1999 by Addison Wesley Longman, Inc. All rights reserved. ....
premium for a performance difference that they cannot perceive.
Peering, QoS, and Price and Quality Differentiation J. Scott Marcus, Director IDATE, Montpellier, 16 November 2011
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Network Operators, Content Providers, and the Open Internet • Peering, transit, Internet access • Quality of Service (QoS) • A two-sided market view • Traffic, costs, prices, and profitability • Concluding observations
1 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Peering, transit, and Internet access (1) • Transit - The customer pays the transit provider to provide connectivity to substantially all of the Internet.
- Essentially the same service is provided to consumers, enterprises, ISPs, content provider or application service providers. • Peering - Two ISPs exchange traffic of their customers (and customers of their customers). - Often, but not always, done without charge. • Variants of both exist.
2 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Peering, transit, and Internet access (2)
Peering
ISP A
ISP B
Peering
ISP C 3
ISP A2 ISP C2
ISP B1
ISP A1
ISP C1
ISP C1b
ISP A1a ISP C1a ISP A1b
ISP A2
3 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Peering, transit, and Internet access (3) • Meanwhile, unit prices for global transit are declining rapidly. • This decline reflects not only equipment costs but also circuits (over land and under water). • Labour and other OPEX elements play only a small role, since they depend mostly on the number of subscribers.
Source: Telegeography (2011), WIK calculations. Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
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Peering, transit, and Internet access (4) Shortest exit routing
Backbone ISP Peering Point
New York Chicago Washington DC
San Francisco
Peering Point
Los Angeles
Atlanta
Web Site
Dallas
Backbone ISP
Copyright (c) 1999 by Addison Wesley Longman, Inc. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior consent of the publisher.
5 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Interconnection (QoS)
Browsing, Shopping, Banking Email
Channel Surfing
Video Streaming
FTP
low
high
Bandwidth Requirements
high
Video Telephony
sports, racing, shooter
role-playing
cards, board games
strategy
low
IRC
Audio Streaming
Gaming Applications Stringent Latency Requirements
high
VoIP
low
Stringent Latency Requirements
General Applications
low
high
Bandwidth Requirements
• Real time bidirectional audio: stringent requirements • Email: liberal requirements • Streamed audio and video: fairly liberal requirements. (Channel surfing?) Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
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Shifts in Internet traffic • Voice drives revenue, but is a declining fraction of traffic. • Concerns have been voiced in recent years over the explosion of video traffic over the Internet, and its implications for network cost.
Source: Cisco (2011).
Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
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Interconnection (QoS) M/G/1 Queuing Delay (155 Mbps Link) 350.00
300.00 Coefficient of Variation 250.00 Wait Time (microseconds)
0.00 0.50 1.00
200.00
1.10 1.20 150.00
1.50 2.00
100.00
50.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
Utilization (rho)
M/G/1 queueing analysis of the performance of a single link (with clocking delay of 50 μsecs (284 byte packets) and a 155 Mbps link) (with clocking delay of 50 μsecs (284 byte packets) and a 155 Mbps link)
8 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Interconnection (QoS) • As we have seen, per-hop delay, even in a network with 90% load, is about 1,000 times less than the 150 millisecond delay “budget” for real-time bidirectional voice.
• IMPLICATION: Most of the time, and under normal conditions, variable delay in the core of the network is unlikely to be perceptible to the users of VoIP or other delay-sensitive applications. • FURTHER IMPLICATION: Consumers will not willingly pay a large premium for a performance difference that they cannot perceive. • Packet delay is more likely to be an issue: - For slower circuits at the edge of the network - For shared circuits (e.g. cable modem services) - When one or more circuits are saturated - When one or more components have failed
- When a force majeure incident has occurred Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
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Implementing inter-provider QoS • Although the technology is reasonably straightforward, little practical experience in enforcing QoS across IPbased networks. • It is not due to a lack of standards – there are too many standards, not too few. • Classic problem of introducing change into a technological environment: - Network effects – no value until enough of the market has switched. - Long, complex value chains.
- Costs and complexity of transition. Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
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Implementing inter-provider QoS • Efforts to extend Quality of Service (QoS) across network operators have failed to catch fire for many reasons: - Scale: Bilateral peering arrangements will tend to be acceptable to both network operators only when the networks are of similar scale, or more precisely when both networks can be expected to be subject to similar cost drivers for carrying their respective traffic. - Traffic balance: Where traffic is significantly asymmetric, cost drivers are likely to also be asymmetric. - Monitoring and management: There are many practical challenges in determining whether each network operator has in fact delivered the QoS that it committed to deliver. - Financial arrangements: There has been no agreement as to how financial arrangements should work. In particular, there has been enormous reluctance on the part of network operators to accept financial penalties for failing to meet quality standards. 11 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Implementing inter-provider QoS • Many efforts over the years to define inter-provider QoS standards. • One of the best and most practical was organised by MIT, with substantial industry participation. • The following values from the MIT white paper would appear to be resonable for IP interconnection suitable for real time bidirectional voice: Delay:
100 msec
Delay Variance:
50 msec
IPPM Loss Ratio:
1 x 10-3 (One Way Packet Loss)
• The MIT WG white paper also explains how to measure these, and how to allocate end-to-end requirements to multiple networks. IPPM probes could be suitable. 12 Peering, QoS,network and Price and Quality Differentiation: IDATE, Montpellier, 16 November • A challenge: No operator will want another to2011 operate
Implementing inter-provider QoS • As part of the functional/operational separation of Telecom New Zealand, there were commitments - To interconnect with competitors using IP
- To support a suitable QoS for VoIP in those interconnections • The first of these is in place. • For the second, Telecom New Zealand made a quite interesting proposal, based on their methodology for the first of these.
13 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Quality differentiation and network neutrality • Quality differentiation • Economic foreclosure • Two-sided (or multi-sided) markets
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Quality differentiation • Quality differentiation and price differentiation are well understood practices. • In the absence of anticompetitive discrimination, differentiation generally benefits both producers and consumers. • We typically do not consider it problematic if an airline or rail service offers us a choice between first class and second class seats.
15
Economic foreclosure • When a producer with market power in one market segment attempts to project that market power into upstream or downstream segments that would otherwise be competitive, that constitutes economic foreclosure.
Google
User
Yahoo Commercial ISP
Broadband ISP
Bing
• Foreclosure harms consumers, and imposes an overall socioeconomic deadweight loss on society.
16
Two-sided markets • The Internet can be thought of as a two-sided market, with network operators serving as a platform connecting providers of content (e.g. web sites) with consumers. • Under this view, some disputes are simply about how costs and profits should be divided between the network operators and the two (or more) sides of the market.
Google
User
Yahoo Commercial ISP
Broadband ISP
Bing
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Traffic, costs, prices, and profitability (1) • A.T. Kearney (2010): “Internet traffic is exploding in an unprecedented way due to increasing use of video. Costs for network operators are skyrocketing, even under existing technology and even without considering the huge investments needed for fibre-based Next Generation Access. Due to market defects, there is no way to make consumers shoulder the cost of the increased bandwidth; thus, it will soon become necessary for firms that provide content to pay for the network for the first time, much as content and advertising typically pay for over-the-air broadcast television.” • Intuitive? Satisfying? Plausible?
18 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Traffic, costs, prices, and profitability (2) • Traffic growth is largely a function of: - an increase in the number of subscribers, and - an increase in traffic per subscriber. • Some costs are largely driven by the number of subscribers, and are largely independent of usage per subscriber. • Unit costs for network equipment in the core and concentration networks (including routers and optoelectronics), where costs are usage-dependent, are declining at a rate comparable to that of Internet traffic increase per user in the fixed network. This can be viewed as an example of Moore’s Law. • Cost per customer and revenue per customer in the fixed network remain in balance, despite the increase in traffic. 19 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Traffic, costs, prices, and profitability (3) • The core network is about 7% of total cost, the concentration network about 6%. • Both benefit from these technological enhancements. Monthly cost of a bundled DSL broadband/voice service (BNetzA 2009) Wholesale price ULL Provision
6%
Monthly rental ULL
21%
Cost of DSLAM Cost of splitter
31% Transport in concentration network
9%
Transport IP backbone network
3%
Collocation
7% 6%
14% 3%
Usage dependent cost telephony Customer acquisition, maintenance, common cost, billing, bad debt
Source: German BNetzA (2009). 20 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Traffic, costs, prices, and profitability (4) Fixed Data Traffic
Traffic is indeed increasing in both the fixed and the mobile networks.
40000
Data traffic/month (PB)
35000 30000 Middle East and Africa 25000
Latin America Japan
20000
Asia Pacific North America
15000
Central Eastern Europe 10000
Western Europe
5000 0 2006
2007
2008
2009
2010
2011*
2012*
Mobile Data Traffic 1400
Source: Cisco (2011), WIK calculations.
Data traffic/month (PB)
1200 1000
Middle East and Africa Latin America
800
Japan Asia Pacific
600
North America Central Eastern Europe
400
Western Europe 200 0 2006
2007
2008
2009
2010
2011*
2012*
21 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Traffic, costs, prices, and profitability (5) • However, the rate of growth in percentage terms is declining over time.
Source: Cisco (2011), WIK calculations. 22 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Traffic, costs, prices, and profitability (6) 20,000
$25.00
18,000 16,000
$20.00
14,000 12,000
$15.00
10,000 8,000
$10.00
6,000 4,000
$5.00
2,000 0
$0.00 2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
Here we have the shipment quantities in Mbps and the price per Mbps (USD) for high end routers and for long haul DWDM optoelectronic equipment.
Worldwide high end router capacity shipped (Mbps) Price per Mbps (USD)
7,000
$7.00
6,000
$6.00
5,000
$5.00
4,000
$4.00
3,000
$3.00
2,000
$2.00
1,000
$1.00
0
$0.00 2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
Worldwide long haul DWDM capacity shipped (Mbps) Price per Mbps (USD)
2014
2015
These are among the key cost drivers for Internet core and aggregation networks. The growth in shipments generally tracks the Cisco projections. The growth in shipment volume does not equate to a growth in costs, because the decline in unit costs is nearly in balance with it. Source: Dell’Oro (2011), WIK calculations. 23
Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
Traffic, costs, prices, and profitability (7) • The trend in underlying equipment costs (and many other costs) tracks subscribership and revenue, not with the volume of traffic.
2,000 1,800 1,600 1,400 1,200 1,000 800 600 400 200 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 IP traffic
Fixed BB subscribers
SP Edge total revenue
SP Core total revenue
DWDM Long Haul total revenue
WDM Metro total revenue
Source: Dell‘Oro (2011), Cisco (2011), WIK calculations. Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
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Concluding observations • In competitive markets, quality differentiation typically benefits both suppliers and producers. • Beware quick fixes! If a solution seems too good to be true, it probably is. • Market mechanisms often reach better solutions than well intentioned policymakers.
25 Peering, QoS, and Price and Quality Differentiation: IDATE, Montpellier, 16 November 2011
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