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Exploring User Opt-in for GENI: Challenges and Opportunities in Network Innovation

This overview discusses the concept of opt-in within the Global Environment for Network Innovations (GENI) framework, focusing on its facets and implications for users. The meeting covers technical, legal, and ethical issues in encouraging user participation, with insights into motivations, risks, and user-provided services. It emphasizes the need for a user base willing to engage with GENI's infrastructure, exploring new applications and alternative service models. Key discussions include the infrastructure required, incentives for users, and addressing potential user risks.

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Exploring User Opt-in for GENI: Challenges and Opportunities in Network Innovation

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Presentation Transcript

  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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