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Socioeconomic Tussles Analysis of the ETICS Approach for Providing QoS-enabled Inter-domain Services


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Tussle analysis helps better understand the interrelations between Future Internet technologies and socio-economics. Its purpose is to study how such stakeholders interact by exploiting Future Internet technologies to advance their economic interests and influence economic outcomes. The presentation will motivate and apply a generic methodology for tussle analysis to the ETICS Approach for Providing QoS-enabled Inter-domain Services.

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Socioeconomic Tussles Analysis of the ETICS Approach for Providing QoS-enabled Inter-domain Services

  1. 1. SESERV Socio-Economic Services for European Research Projects European Seventh Framework CSA FP7-2010-ICT-258138Socioeconomic Tussles Analysis of theETICS Approach for Providing QoS-enabled Inter-domain ServicesCostas Kalogiros, Costas Courcoubetis,George Stamoulis, Manos Dramitinos,Olivier DugeonFuNeMS,Berlin, Germany, July 4, 2012© 2011 The SESERV Consortium 1
  2. 2. A tussle analysis methodology Functionality I Functionality II Iteration A: Iteration B: Iteration A: technology set S technology set S’ technology set S’’ (existing technologies) (S + new technology T) (existing technologies + T)Step 1: Identify allprimary stakeholder Understand Understand Understand Understand Understand Understandroles and their stakeholders’ stakeholders’ stakeholders’ stakeholders’ stakeholders’ stakeholders’ interests in interests in policies policycharacteristics for the interests in new interests in new interests in interests infunctionality under current current ecosystem ecosystem new ecosystem new ecosystem ecosystem ecosystem iteration due to new technology T or newinvestigation introduction of a new technology T or a new Step 2: Identify tussles Identify Identify Identify Identify Identify Identify among identified policies in policies in policies in policies in policies in policies in stakeholders current current new new new new ecosystem ecosystem ecosystem ecosystem ecosystem ecosystem Step 3: For each tussle assess the impact to Assess Next Assess Assess new Assess new Assess new Assess new each stakeholder and current current ecosystem ecosystem ecosystem ecosystem potential spillovers ecosystem ecosystem Spillover to ‘Functionality II’ due to the © 2011 The SESERV Consortium 2
  3. 3. Collaborative Network Service composition between competing ISPs 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 interconnection is important for promoting collaboration that is mutually beneficial© 2011 The SESERV Consortium 3
  4. 4. Tussle evolution of service composition between competing ISPs Iteration 2a: What if an ASQ good is ISP-1 feels unfair ISP-2 used by ISP-2 to bypass thestrategies/policies Best-Effort peering link for Tussle outcome Stakeholders’ all traffic? Iteration 3: What if ISP-1 stopped ? offering that ASQ? Iteration 2b: What if ISPs could control major ? Iteration 1: properties of ASQ goods? Support for best-effort ISP-1 ISP-2 feels unfair connectivity Functionality: Network Service composition only time Traffic isstrategies/policies ISP-2 optimized Tussle outcome Stakeholders’ 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 © 2011 The SESERV Consortium 4
  5. 5. Service delivery with assured quality between multiple ISPsRouter D ETICS Broker suddenly fails! Customer Content H Provider F ISP-3 A D B C ISP-2 X G router/ probe ISP-1 E proxy collector Transit Iteration 2: Iteration 3a: Transit ISPs ISP Destination ISP What if (sampled) monitored packets contribute lessstrategies/policies are known in advance ? Tussle outcome under provisions to SLA penalties ? Stakeholders’ backup ASQ goods Fair Iteration 3b: penalties What if Broker ? Broker signals to all ISPs which Iteration 1: Source & packets to probe during Source Introduction of inter-domain Destination ISPs ISP service provisioning? ASQ goods with no adequate contribute less to Dest. ISP monitoring of individual ISPs Functionality: SLA Monitoring SLA penalties © 2011 The SESERV Consortium 5
  6. 6. Concluding remarks • Internet technologies can have impact on: • stakeholders by triggering establishment of new strategies / business models • other technologies (functionalities) by triggering creation of new technologies • “Tussles friendly” technologies allow for balanced control between stakeholders • Better incentives for adoption in the long-run • … but, requires significant effort from technology designers for understanding the ecosystem© 2011 The SESERV Consortium 6
  7. 7. More Information Stay tuned for latest SESERV WS results and upcoming deliverables • on socioeconomic priorities for the Future Internet! • • •© 2011 The SESERV Consortium 7
  8. 8. Thank you for your attention!© 2011 The SESERV Consortium 8
  9. 9. Support Slides© 2011 The SESERV Consortium 9
  10. 10. Internet as a platform for stakeholders’ interactions … Stakeholders with varying End-users ISPs Regulators ASPs socio-economic interests Out of network socio- economic transactions TechnologyInternet Socio- choices(including investments,Economic layer configurations)Internet Technology outputsTechnology layer (connectivity, QoS, mobility, security, etc.) Internet middle applications Technology components boxes Firewalls Internet protocols links routers switches servers 3G towers Socio-Economic layer is governed by laws of socio-economics, © 2011 The SESERV Consortium while technology layer by laws of physics 10
  11. 11. Basic Socio-economic Technology Cycle Longer Internet Socio- Adopt technology Economic layer ISP Dimension resources Adaptation timescale FeedbackStakeholders’ strategies Configure technology/ policies with respect toa specific technology(functionality) Use technology Shorter tussle outcome • At each stage conflicts of interest (incentives) arise at the socio-economic layer. • The combination of actors’ strategies lead to a tussle outcome, characterized by stakeholders benefits. © 2011 The SESERV Consortium 11
  12. 12. A tussle analysis methodology Functionality I Functionality II Step 1: Identify all primary stakeholder roles and their characteristics for the functionality under investigation new iteration spillover Step 2: Identify tussles among involved stakeholders tussle tussle tussle tussle Step 3: For each tussle assess the impact of a technology to each stakeholder and potential spillovers© 2011 The SESERV Consortium 12
  13. 13. Comparison of system modeling approaches© 2011 The SESERV Consortium 13