Interconnect QoS settlements & impairments Bob Briscoe BT Group CTO.

Slides:



Advertisements
Similar presentations
June 27, 2007 FIND Meeting, From Packet-Switching to Contract- Switching Aparna Gupta Shivkumar Kalyanaraman Rensselaer Polytechnic Institute Troy,
Advertisements

CONEX BoF. Welcome to CONEX! Chairs: –Leslie Daigle –Philip Eardley Scribe Note well MORE INFO: -ECN.
1 All rights reserved © 2001, Alcatel, Paris. Information Document 7-E ITU-T Study Group 2 January 2002 QUESTIONS:ALL SOURCE:TSB TITLE:TELECOM NETWORK.
Using Self-interest to Prevent Malice Fixing the Denial of Service Flaw of the Internet Bob Briscoe Chief Researcher, BT Group Oct 2006 Credits: Martin.
Internet and the 1996 Act Impact of the Act on Internet evolution Internet as « inspiration »
Internetworking II: MPLS, Security, and Traffic Engineering
EE 4272Spring, 2003 Chapter 12 Congestion in Data Networks Effect of Congestion Control  Ideal Performance  Practical Performance Congestion Control.
William Stallings Data and Computer Communications 7 th Edition Chapter 13 Congestion in Data Networks.
7 RAIDER: Responsive Architecture for Inter-Domain Economics and Routing.
© 2004 AT&T, All Rights Reserved. The world’s networking company SM An Evolution Path for Numbering and Interconnection Future Of Numbering Symposium November.
Resource Pooling A system exhibits complete resource pooling if it behaves as if there was a single pooled resource. The Internet has many mechanisms for.
CPSC Topics in Multimedia Networking A Mechanism for Equitable Bandwidth Allocation under QoS and Budget Constraints D. Sivakumar IBM Almaden Research.
Vortex98 Laguna Niguel, CA May 1998 Economic Issues Facing Internet Hal R. Varian SIMS, UC Berkeley
An Effective Placement of Detection Systems for Distributed Attack Detection in Large Scale Networks Telecommunication and Security LAB. Dept. of Industrial.
Staying focused on the big unsolved problems e.g. resource accountability Bob Briscoe Chief Researcher, BT Group Sep 2008.
1 EE 400 Asynchronous Transfer Mode (ATM) Abdullah AL-Harthi.
DoS-resistant Internet - progress Bob Briscoe Jun 2005.
1 Network Layer: Host-to-Host Communication. 2 Network Layer: Motivation Can we built a global network such as Internet by extending LAN segments using.
Computer Networks Transport Layer. Topics F Introduction  F Connection Issues F TCP.
Using Prices to Allocate Resources at Access Points Jimmy Shih, Randy Katz, Anthony Joseph One Administrative Domain Access Point A Access Point B Network.
Building a Strong Foundation for a Future Internet Jennifer Rexford ’91 Computer Science Department (and Electrical Engineering and the Center for IT Policy)
A Simulation Approach for Internet QoS Market Analysis Bruno Pereira Miguel Martins.
1 Proposed Additional Use Cases for Congestion Exposure draft-mcdysan-conex-other-usecases-00.txt Dave McDysan.
Interconnection, Peering, and Settlements Geoff Huston.
Controlling Internet Quality with Price Market Managed Multi-service Internet Bob Briscoe BTexact Research, Edge Lab, University College London & M3I Technical.
Peer-to-peer (p2p) value & cost Bob Briscoe Chief Researcher BT Group Sep 2008.
Introduction to Network Layer. Network Layer: Motivation Can we built a global network such as Internet by extending LAN segments using bridges? –No!
QoS Architectures for Connectionless Networks
Lightweight Policing & Charging for Packet Networks Bob Briscoe Uni College London & BT Research Mike Rizzo, Jérôme Tassel, Kostas Damianakis BT Research.
“Design for Tussle” - beyond technology issues Bob Briscoe Chief Researcher, BT Group Networks Research Centre Mar 2006.
Imposing access obligations under the new framework Karen Hardy.
1 Which Standards are needed toward Future Wireline and Wireless IP Network ? Hee Chang Chung, Jun Kyun Choi
Ilkka Kiema Future Internet and Economics (FIEN) Workshop May 6, 2009 Some Economic Aspects of Future Internet.
Interconnect QoS business requirements Bob Briscoe BT Group CTO.
KDDI’s Views on Future 3GPP2 Activities 16 May 2008.
Investment and load control incentives: broadband evolution from value to cost Bob Briscoe BT Networks Research Centre May 2005.
Tetherless industry structure Bob Briscoe Jan 2002.
Internet resource sharing: a way forward? Bob Briscoe Chief Researcher, BT May 2009 This work is partly funded by Trilogy, a research project supported.
Interconnection Issues Geoff Huston. Internet Service Providers Many providers in every market Many provider profiles - from small business to global.
Congestion marking for low delay (& admission control) Bob Briscoe BT Research Mar 2005.
Methods for providing Quality of Service in WLANs W.Burakowski, A. Beben, J.Sliwinski Institute of Telecommunications, Warsaw University of Technology,
Future Emergency Telecommunication Scenarios over the Internet Dr. Ken Carlberg Emergency Telecommunications Workshop 26’th-27’th,
Controlling Internet Quality with Price Market Managed Multiservice Internet Bob Briscoe BT Research, Edge Lab, University College London & M3I Technical.
Gregory Massel Interconnection: a practical guide 3 September 2009.
Differentiated Services for the Internet Selma Yilmaz.
Re’Arch 2008 Policing Freedom… to use the Internet Resource Pool Arnaud.Jacquet, Bob.Briscoe, Toby.Moncaster December
TCP Trunking: Design, Implementation and Performance H.T. Kung and S. Y. Wang.
Social & Economic Control of Networks Bob Briscoe Chief Researcher BT Networks Research Centre Jul 2007.
Congestion exposure BoF candidate protocol: re-ECN Bob Briscoe Chief Researcher, BT Nov 2009 This work is partly funded by Trilogy, a research project.
The Direction of Value Flow in Multi-service Connectionless Networks Bob Briscoe BT Research 7 Oct 1999.
Achieving good end-to-end service using Bill-Pay Cristian Estan, Aditya Akella, Suman Banerjee Univ. of Wisconsin - Madison.
Downstream knowledge upstream re-feedback Bob Briscoe Arnaud Jacquet, Carla Di Cairano- Gilfedder, Andrea Soppera & Martin Koyabe BT Research.
Guaranteed QoS Synthesiser (GQS) Bob Briscoe, Peter Hovell BT Research Jan 2005.
Unconditional localisation? Bob Briscoe Response to ALTO BoF Jul 2008.
Session QoS vs bulk QoS Bob Briscoe Chief Researcher, BT Group Oct 2008.
Making stuff real re-feedback Bob Briscoe, BT Research Nov 2005 CRN DoS resistant Internet w-g.
Solving this Internet resource sharing problem... and the next, and the next Bob Briscoe Chief Researcher BT Group (& UCL) Lou Burness, Toby Moncaster,
1 Protecting Network Quality of Service against Denial of Service Attacks Douglas S. Reeves S. Felix Wu Chandru Sargor N. C. State University / MCNC October.
Concerns with Network Research Funding S.Floyd & R. Atkinson, Editors Internet Architecture Board draft-iab-research-funding-02.txt.
Network Performance Isolation in Data Centres using Congestion Policing draft-briscoe-conex-data-centre-01.txt draft-briscoe-conex-data-centre-01.txt Bob.
Users, Pricing and Resource Reservation: Managing Expectations. Jon Crowcroft,
ConEx Concepts and Abstract Mechanism draft-ietf-conex-abstract-mech-01.txt draft-ietf-conex-abstract-mech-01.txt Matt Mathis, Google Bob Briscoe, BT IETF-80.
Explicit Allocation of Best-Effort Service Goal: Allocate different rates to different users during congestion Can charge different prices to different.
t What is VoIP? t How this technology is changing business model in telecom industry?  How this theme has been discussed in the world ? t What are the.
The Direction of Value Flow in Connectionless Networks Bob Briscoe BT Research 19 Nov 1999.
The Role of TSO. Madrid, 7-8 Feb The Role of TSO2 The roles of industry players First vision of role of TSO in GTE position paper Industry players.
Workshop for West-African Telecommunication Regulators Abuja (Nigeria), September 21-22, 2000.
Queue Management Jennifer Rexford COS 461: Computer Networks
CONEX BoF.
Internet Interconnection
Presentation transcript:

interconnect QoS settlements & impairments Bob Briscoe BT Group CTO

what are providers trying to achieve? selling QoS = managing risk of congestion 1.ranking demand so insufficient willingness-to-pay self-rejects 2.and/or exploiting a monopoly position (perhaps only over a route) 1.push-back from congestion only requires congestion charging –peak-demand and volume charging are imperfect but pragmatic proxies 2.exploiting monopoly could require any sort of charging model –but must still push-back from congestion at some timescale a game is playing out, converging on near-perfect competition –play the game conceptually and deploy the end-game (congestion pricing)? –or play the game out in full? deploying/withdrawing many models on the way Network cost economics (not market pricing) (perfect competition)  infrastructure cost is sunk  installation fee  operational costs are usage independent  monthly fee  usage and congestion cost operator nothing  0  congestion damages service to user  congestion pricing  congestion income pays for infrastructure upgrade  installation fee  0 Q1. technical capabilities needed to support acceptable revenue models for providers?

sender or receiver pays? recap two part tariff sending domain pays C = ηX + λQ to r’cving domain per accounting period X is price η Q is QoS/usage-related (volume, peak demand, price λ both prices relatively fixed usage related price λ ≥ 0 (safe against ‘denial of funds’) any receiver contribution to usage through end to end clearinghouse or bias fixed charges against receiving domain to compensate NANA NANA NBNB NBNB NDND NDND R1R1 S1S1 Capacity price, η sign depends on relative connectivity usage price, λ ≥ 0

first step: allow evolution of model decouple Q ab from Q bd –e.g Q ab is volume –Q bd is congestion common denominator is money –Profit attributable to flow, Π b = λ ab Q ab – λ bd Q bd bulk pricing sufficient each price for rest of path from boundary to destination price effects localised contracts localised self-regulating, avoiding inter-carrier compensat’n (ICC) regulation global standards unnecessary NaNa NbNb NcNc NcNc NdNd NdNd NeNe λ ab Q ab λ bd Q bd Q1. technical capabilities needed to support acceptable revenue models for providers? strong form: route agnostic `price for overall profit, win some, lose some or don’t advertise loss-making routes weak form: separate price for each subset of routes (e.g. all N d )

e2e clearinghouse, N c N A(Home) N A(Visited) NBNB NBNB NDND NDND R1R1 S1S1 minimum interconnect requirements (a) A2a) confine retail complexity to a higher layer e2e market –sender/receiver re-apportionment –roaming otherwise locks-in to single model for all interconnect –sufficient condition: interconnect contracts strictly bilateral (pairwise) Q2. Constraints on pairwise agreements to support concatenated service? λ CV Q CV λ HC Q HC λ DC Q DC

minimum interconnect requirements (b) A2b) congestion pricing sufficient –can synthesise any QoS at edge, from congestion (ECN) pricing –simple, bulk, passive replacement for traffic policing –pushes back congestion upstream (cf. TCP) need longer slot to explain –simple, but unfamiliar territory for many (cf 95 th percentile peak demand or time of day volume pricing) –subject of IP QoS research since 1997 –recently solved outstanding problems (to be proven) direction of control (including routing/traffic engineering) avoiding dynamic pricing in retail market Q2. Constraints on pairwise agreements to support concatenated service?

interconnect QoS settlements – summary single model for end-game: congestion pricing or extra cost & revenue of more complex interconnect to exploit temporary monopoly positions? NANA NANA NBNB NBNB NDND NDND R1R1 S1S1 IP QoS transp QoS transp QoS IP QoS transp QoS transp

interconnect QoS – settlements agreeing an industry model scope: the usage/QoS part of tariffs if we don’t agree a layered industry model it will cost us all hugely more to handle the mess alternatives within a single model: –only sender pays throughout network layer? –approx equal sender-receiver contribution throughout network layer? forum to agree this industry model?

more info Paper –The Direction of Value Flow in Multi-service Connectionless Networks

end-game: inter-domain congestion pricing passive & extremely simple recall sending domain pays to receiving domain C = ηX + λQ congestion charge, Q over accounting period, T a isQ = Σ T a ρ i + ρ i metered by single bulk counter on each interface impairments trivial downstream path congestion, ρ i router, i NANA NANA NBNB NBNB NDND NDND R1R1 S1S1 ρ AB ρ BD congestion profit, Π: Π A = – (λ ρ) AB Π B = +(λ ρ) AB – (λ ρ) BD Π D = + (λ ρ) BD per packet