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Economic Traffic Management (ETM) Mechanisms – Selected View






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Economic Traffic Management (ETM) Mechanisms – Selected View Economic Traffic Management (ETM) Mechanisms – Selected View Presentation Transcript

  • Simple Economic Management Approaches ofOverlay Traffic in Heterogeneous Internet TopologiesEuropean Seventh Framework STREP FP7-2007-ICT-216259 Economic Traffic Management (ETM) Mechanisms – Selected ViewUZH, DOCOMO, TUD, AUEB, PrimeTel, AGH, ICOM, UniWue, TIDFabio Hecht, UZH October 20, 2010(on behalf of SmoothIT) Brussels, Belgium © 2010 The SmoothIT Consortium 1
  • Basics and Motivation Use of economic mechanisms for controlling, managing network traffic of overlays at early stages: Economic Traffic Management (ETM) SmoothIT results show already that such mechanisms do have the important property of scalability and effectiveness! – Situation-dependent ETMs lead to a more efficient network operation – ETMs generate a higher value (QoE) for its customers. In managing the traffic created and routed through their networks, today’s ISPs are offered by SmoothIT methodologies suitable for modern traffic/service profiles – E.g., peer-to-peer traffic is treated according to ETM approaches. – Applicable to traffic of different P2P applications © 2010 The SmoothIT Consortium 2
  • Triple Win All ETM mechanisms aim at achieving TripleWin – Overlay traffic is optimized beneficially for all three stakeholders: ISPs, overlay providers, and users Incentives for operators (i.e. ISPs) – Monetary: reduce overlay traffic and inter-domain traffic – Traffic management: less congested links, better performance – Reputation: keep customers, distinguish from other operators Incentives for overlay providers – Performance: Active role in traffic mgmt increases service quality – Reputation: increased user base due to better performing services Incentives for users – Performance: Increased service quality, e.g., reliability, RTT, BW – Monetary: lower price for network access © 2010 The SmoothIT Consortium 3 View slide
  • ETM Classification and Synergies  High potential for synergies  Progressive development of approaches possible  Incremental enhancement of architecture possible© 2010 The SmoothIT Consortium 4 View slide
  • ETM Mechanisms Ported to Trials1. BGP-Based Locality Promotion (BGP-Loc): ISP provides proximity-related recommendation to overlay applications, which is used to optimize traffic.2. Insertion of ISP-Owned Peers (IoP): Resourceful entity enhancing both traffic locality and QoE within an ISP.3. Promotion of Highly Active Peers (HAP): Boosts peers which contribute the most in order to achieve similar results as IoPs with little investment in infrastructure. © 2010 The SmoothIT Consortium 5
  • SmoothIT Information Service (SIS) SIS SIS ISP A ISP B P P P P P P P SIS protocol P Peer / Overlay appl. Deployment of SIS components in the ISPs’ network – To convey information between overlay and underlay Client-Server architecture Overlay applications interact with SIS in order to select “better” peers, e.g. local peers, IoPs or HAPs. – Reducing ISPs costs and improving QoE of users © 2010 The SmoothIT Consortium 6
  • SmoothIT Information Service (SIS) Overla H y Peers’ (abstracted) Best QoE overlay status peers A P improvements IoP ETMS Popular SIS swarms(Aggregate) underlay Cost reduction QoS enhancements Revenue increase metrics Underl ay SIS is the core of the ETM System (ETMS), which can lead to TripleWin. © 2010 The SmoothIT Consortium 7
  • Simulated Network Topology Initial seeder SIS Inter-AS linkPeeringlink Transit Hub AS 2 Hub AS 1 AS Transit link Stub AS 1…10 Stub AS 11…20 © 2010 The SmoothIT Consortium 8
  • BGP-Loc At application: task is to discover neighbors to download from and select neighbors to upload to – “Unchoked” neighbors receive data – “Choked” neighbors do not receive data. Used BitTorrent (file sharing) and Tribler (video streaming, based on BitTorrent) – Regular BitTorrent (regBT): • TFT slots: upload to peers that have provided the most • optimistic unchoking slot: upload to a random peer – BNS: Biased Neighbor Selection • Peers prefer to download from local peers from SIS – BOU: Biased Optimistic Unchoking • Peers prefer to upload to local peers from SIS © 2010 The SmoothIT Consortium 9
  • BGP-Loc: Simulation Results Homogeneous Scenario 50 BitTorrent: Bottleneck Types 40 Intra-ASBandwidth (MB/s) Peering Links 30 Transit Links Mean download times (min) regBT Inter-AS 16 20 BOU Inter-AS BNS Inter-AS 14 BNS&BOU Download Times (min) 10 Inter-AS 12 10 regBT 0 BOU Access inter-AS 8 BNS Bottleneck Type 6 BNS&BOU Mean traffic (Mbyte/s) 4 2 0 Access inter-AS Bottleneck Type © 2010 The SmoothIT Consortium 10
  • BGP-Loc: Simulation Results Homogeneous Scenario (2) 50 45 Tribler: Bottleneck Types 40 35 Intra-ASBandwidth (MB/s) 30 Peering Links 25 Transit Links regBT Inter-AS Mean stalling times (s) BOU Inter-AS 20 BNS Inter-AS 2500 BNS&BOU 15 Inter-AS 10 2000 5 Stall Times (sec) 1500 0 regBT Access Core BOU Bottleneck Type BNS 1000 BNS&BOU Mean traffic (Mbyte/s) 500 0 Access Core Bottleneck Type © 2010 The SmoothIT Consortium 11
  • BGP-Loc: Simulation Results Heterogeneous Scenario 3.5 Heterogeneous peer distribution Ref 3 BUUpload Bandwidth (MB/s) BNS 2.5 BNSBU 2 Mean download times (min) 1.5 15 Ref 14 BU 1 BNS Download Times (min) 13 BNSBU 0.5 12 0 0 5 10 15 20 AS ID 11 10 Mean upload traffic for different ASes with different populations 9 (Mbyte/s) 8 0 5 10 15 20 AS ID © 2010 The SmoothIT Consortium 12
  • BGP-Loc: Evaluation Summary Bottleneck: access links  Win–No-lose – Download times remain unaffected – Savings in inter-AS bandwidth are achieved Bottleneck: inter-domain links  Win–Win – Still some inter-AS bandwidth can be saved – Download/stalling times can be improved significantly The efficiency of locality promotion is higher in ASes having larger fractions of the swarm The performance improvement further increases with the fraction of locality-promoting peers © 2010 The SmoothIT Consortium 13
  • Insertion of ISP-owned Peers (IoP) Motivation: Sole locality may not improve peers’ performance. We can exploit overlay functioning to localize traffic and achieve Win-Win Approach: Insert an ISP-owned peer (overlay entity) provisioned with higher access capacity Impact: Improvement of peers’ performance and reduction of inbound traffic Innovation: Transparency, no interception required. Variety of policies © 2010 The SmoothIT Consortium 14
  • Promotion of Highly Active Peers (HAP) Motivation: Increase the access capacity of very active regular peers instead of inserting ISP-owned entities Approach: Exploitation of ISP’s NGN capabilities to change the access profile of certain users Impact: Give peers the incentive to serve as seeds. Localize traffic while improving peers’ performance. Innovation: Fully innovative mechanism, with NGN. Extra resources directly given to peers. © 2010 The SmoothIT Consortium 15
  • Summary and Conclusions Dedicated management of overlay traffic is necessary – Due to smoothing large amounts of overlay traffic – Due to the minimization of high(er) costs for ISPs SmoothIT architectural design and impl. completed – SmoothIT Information Service (SIS) • Deployed in networks of ISPs • Provides information to overlay applications • Optimizes traffic and achieves the Triple Win situation Many sets of simulative evaluations in place SmoothIT participates at IETF in ALTO (3 drafts) Trials with selected ETM mechanisms are running currently in a real network © 2010 The SmoothIT Consortium 16
  • Thank you for your attention! Thanks to all SmoothIT’s project partners:UZH, DOCOMO, TUD, AUEB, PrimeTel, AGH, ICOM, UniWue, TID © 2010 The SmoothIT Consortium 17