Tussle Analysis for FP7Project ETICS Case Studies     Manos Dramitinos [mdramit@aueb.gr]  Athens University of Economics a...
Introduction• Internet: Multiple technologies and stakeholders,  conflicting interests   – Choices, Goals, Strategies, Pol...
(Future) Internet Ecosystem
The SESERVTussle Analysis Methodology
The ETICS Approach (I)• Support performance-sensitive inter-carrier services through  network interconnections of assuredq...
The ETICS Approach (II)• ASQ products: Novel IC products with assured performance in terms of  business and technical attr...
Distributed Pull Model      Customer buys from ISP-1 an E2E service to Content Provider and expects a certain qualityCusto...
Case Study A:          ASQ Goods and ISPs Competition                                congestion!               Content    ...
Tussle Evolution                                               What if an ASQ good is                                     ...
ASQ Configuration                                      Content                                      Provider              ...
Case Study B: SLA Monitoring  incentives for backup ASQ provisioning• SLA Monitoring checks conformance of service deliver...
Distributed Hierarchical Monitoring      •    Each ISP collects raw data from probes (BRs)      •    Data sampling to keep...
Tussle evolution for ETICS Network                                   Service Delivery functionality                      T...
Conclusions - References• Tussle analysis for two sample ETICS cases• More interesting cases to be investigated• Useful in...
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Seserv workshop manos dramitinos - tussle analysis from etics project

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Tussle analysis for FP7 research project ETICS case studies

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Seserv workshop manos dramitinos - tussle analysis from etics project

  1. 1. Tussle Analysis for FP7Project ETICS Case Studies Manos Dramitinos [mdramit@aueb.gr] Athens University of Economics and Business SESERV Workshop, Athens, Greece January 31st, 2012
  2. 2. Introduction• Internet: Multiple technologies and stakeholders, conflicting interests – Choices, Goals, Strategies, Policies – Dynamic ecosystem• “Design for tussle”• SESERV has defined a systematic approach for the analysis and assessment of socio-economic tussles in the Internet – ETICS case study
  3. 3. (Future) Internet Ecosystem
  4. 4. The SESERVTussle Analysis Methodology
  5. 5. The ETICS Approach (I)• Support performance-sensitive inter-carrier services through network interconnections of assuredquality – Technically: support automated E2E ASQ – Economically: Market enabler for services
  6. 6. The ETICS Approach (II)• ASQ products: Novel IC products with assured performance in terms of business and technical attributes, described in SLA – Variants of ASQ goods offered by the ETICS “community” • “Bundling”, stitching and nesting • Technology agnostic, not tied to a certain business model Business Information Customer SP E6 E7 E7 Edge E1 Edge E2 Transit E3 Transit NSP NSP NSP NSP E4 E4 Transport E5 Transport External NSP NSP actor ETICS Provider ETICS requirements and specification scope
  7. 7. Distributed Pull Model Customer buys from ISP-1 an E2E service to Content Provider and expects a certain qualityCustomer Content H Provider F ISP-3 A D B C ISP-2 G ISP-1 E SLA among ISP 1 and ISP-2 for a path between C & H SLA among ISP 2 and ISP 3 for a path between F & H
  8. 8. Case Study A: ASQ Goods and ISPs Competition congestion! Content Provider Peering ISP 2 ISP 1 Peering Transit ISP 3What are the necessarybusiness conditions for QoS-aware interconnection? Allowing the control of major parameters of ASQ interconnection is important for promoting collaboration that is mutually beneficial
  9. 9. Tussle Evolution What if an ASQ good is ISP-1 feels unfair ISP-2 used by ISP-2 to bypassstrategies/policies the Best-Effort peering Stakeholders’ Tussle outcome link for all traffic? What if ISP-1 stopped offering that ASQ? ? What if ISPs could control major properties of ASQ goods? ? Support for best-effort connectivity ISP-1 only ISP-2 feels unfair Functionality: Network Service composition time Traffic isstrategies/policies ISP-2 optimized Stakeholders’ Tussle outcome selfishly ISPs perform traffic Stable engineering Introduction of ASQ routing for optimizing goods make routing network more stable and simpler Traffic is usage ISP-1 optimized Functionality: Routing & Traffic Engineering selfishly Functionality Stable outcome Evolves Legend Initial state Unstable outcome Affects
  10. 10. ASQ Configuration Content Provider Charged ASQETICS ISP 2 ETICS ISP 1 Free-of-charge ASQ ETICS ISP 3
  11. 11. Case Study B: SLA Monitoring incentives for backup ASQ provisioning• SLA Monitoring checks conformance of service delivered to the contract terms – Required also if all the ETICS community actors are trusted• Backup capacity: needed to deal with network failures – …and avoid SLA violations in the ETICS context because either new path is not good enough or because traffic arrived from a different ingress point in the ISP network – Incentivized by monitoring due to penalties for violations • … or free-riding• Tussle for responsibility: What technology decisions would lead to (un-)fair allocation of SLA violation penalties? – Three candidate schemes examined by ETICS, a centralized and two distributed (coordinated sampling and active flow technology)
  12. 12. Distributed Hierarchical Monitoring • Each ISP collects raw data from probes (BRs) • Data sampling to keep the operational cost low (E2E) • Monitoring data stored per ISP at proxies • If SLA violation, a collector queries the proxies and checks the validity of SLA ETICS collector ContentCustomer H Provider F ISP-3 A D router/ B C ISP-2 X probe G proxy ISP-1 E collector
  13. 13. Tussle evolution for ETICS Network Service Delivery functionality Transit What if (sampled) monitored packets Transit ISPs ISP Destination ISP are known in advance ? contribute less under provisionsstrategies/policies to SLA penalties backup ASQ goods ? Stakeholders’ Tussle outcome What if Broker signals to all ISPs which Fair Broker Introduction packets to probe during ? penalties service provisioning? of inter-domain ASQ Source goods with no Source & ISP adequate monitoring Destination ISPs Dest. of individual ISPs Functionality: Network Service delivery contribute less to ISP SLA penalties
  14. 14. Conclusions - References• Tussle analysis for two sample ETICS cases• More interesting cases to be investigated• Useful insight for the market and technology configuration – Crucial for the adoption of new technologies• References: – www.seserv.org – www.ict-etics.eu – C. Kalogiros, C. Courcoubetis, G. D. Stamoulis, M. Dramitinos, O. Dugeon, “Internet Interconnection Assured Quality Services: Issues and Strategic Impact”, Submitted to Future Network & Mobile Summit 2012

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