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Opt-in WG

Opt-in WG. Henning Schulzrinne Columbia University co-chair: Helen Nissenbaum. Overview. Scoping: the facets of opt-in opt-in = where GENI meets the non-GENIs :-) technical issues legal & “IRB” issues. uses services. offers services. GENI. Who are the users?. ~ Internet 2

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Opt-in WG

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  1. Opt-in WG Henning Schulzrinne Columbia University co-chair: Helen Nissenbaum GENI meeting NSF/Arlington

  2. Overview • Scoping: the facets of opt-in • opt-in = where GENI meets the non-GENIs :-) • technical issues • legal & “IRB” issues uses services offers services GENI GENI meeting NSF/Arlington

  3. Who are the users? • ~ Internet 2 • students at major research universities • researchers • Early adopters • e.g., open wireless access • Your mother • why? how? • Bad guys • we’ll need more of them! GENI meeting NSF/Arlington

  4. Scoping • GENI infrastructure OAM • Services for experimenters • Services for and by users • related to federation? GENI meeting NSF/Arlington

  5. A modest proposal • GENI needs users, with motivation • New applications: • health advice • international cooperation opportunities • investment banking • Even willing to pay for services! GENI meeting NSF/Arlington

  6. Opt-in views • GENI as ISP • alternative network interface • “Internet 3” • Generalized end-user services • services running on user devices • “SETI@HOME 2.0” --> users providing resources • In-network services • services provided by GENI infrastructure • “PlanetLab 2.0” GENI meeting NSF/Arlington

  7. User-provided services • GENI users contribute compute cycles or storage • caching, peer-to-peer • GENI users provide 802.11 access • FON-like • GENI users add mobility • data mules • GENI users add realism • unreliable end nodes • one-way connectivity (NATs) • limited bandwidth • scale GENI meeting NSF/Arlington

  8. Opt-in retail & wholesale • Retail • each user decides • per service • per destination • Wholesale • by origin: campus dorm, open access wireless network • e.g., Amazon EC2 becomes GENI component • by destination: reach group of services GENI meeting NSF/Arlington

  9. Infrastructure needed • GENI OS? • run as VM on user host • isolation from other user services • privacy, risk reduction, resource limitation • ability to run semi-trusted code on end system • How different from regular GENI node? • Generalization of federation concept? GENI meeting NSF/Arlington

  10. User motivation • bribe’em, woo’em, force’em • Cheaper • subsidy, not inherently - “bribery” • Faster • not likely for I2 users • non-I2 users: restricted by access (bandwidth metering!) • More reliable • unlikely for experimental system • Less restricted • symmetric connectivity (no NATs) • also not likely for I2 users GENI meeting NSF/Arlington

  11. Access to GENI • Virtual ISP • easy for WLAN-style access or VLANs • not hard if users can configure DHCP server • Non-IPv4/6 services • VPN-style tunneling, e.g., L2TP • just another network interface - leverage IPv6 experience • L7 services over IP • addressed as usual GENI meeting NSF/Arlington

  12. Incentives • Can users be provided with trade-able incentives? • provide CPU cycles, storage, wireless access, human cycles, ... • money = medium of exchange (vs. barter) • Can users sell GENI services? • Virtual currency? • cf. Linden Dollars (SecondLife) GENI meeting NSF/Arlington

  13. User risks • Risks to users • installed software: GENI = spyware • data gathering as part of experiments (cf. AOL) • highly personal data: web browsing, mobility, location-based services, ... • Risks from users • no strong identification (cf. experimenter) • GENI = next-generation bot net • GENI = PirateBay, taxpayer-funded GENI meeting NSF/Arlington

  14. Legal & IRB issues • Informed consent? • standard IRB template? • data gathering best practices for GENI? • Just privacy statements? • P3P? • Who is responsible if bad guys get SSNs and credit card numbers from user machines running GENI services? • CALEA? GENI meeting NSF/Arlington

  15. Work needed • Document risks • Incentives and opportunities • Technical issues • end-user resource allocation and monitoring GENI meeting NSF/Arlington

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