SGER: Exploratory Research on End-User Opt-In and Broadening Research Engagement

在这个SGER中，BBN提议对两个未经测试的新颖想法进行初步研究。第一个想法侧重于如何在实验性的网络基础设施上生成和支持现实的流量。其他网络基础设施通常依赖于人工流量生成方法或由实验者自己组成的用户社区。但是，为了向实验者提供大规模的真实的流量，需要开发新的方法和机制。如果这种机制能够得到发展，并且在基础设施上进行真实的业务，那么许多难题仍然存在。例如，实际上需要多少种和哪些类型的选择加入机制？基础设施是否足够？用户拉？(e.g.,应用程序、功能等）吸引用户？可以给用户什么样的保证？在隐私、可靠性、安全性等方面，这些问题目前无法回答，因为需要产生新的跨学科知识。该SGER将允许就这一主题编写一系列白色文件，包括1）鼓励选择加入的战略，2）可以推动用户选择加入的应用程序，3）用户选择加入的法律的、道德的、隐私和安全影响，4）潜在用户社区和访问它们的方法，以及5）用户选择加入对商业部门的潜在好处。这些论文的作者将在工程会议上会面，讨论和分享他们的发现，以及如何在实验性网络基础设施中实现这些发现。第二个新颖的想法围绕着扩大对网络基础设施的研究参与和兴趣。至关重要的是，允许研究兴趣超出网络和分布式系统的最广泛的科学家和工程师在新颖的网络基础设施上进行自己的实验。其他可能感兴趣的学科包括社会科学，经济学，商业，法律，医学和替代能源等。如此广泛的范围有助于确保新的网络基础设施将广泛影响研究和教育。但至关重要的是，他们对实验工作流程，数据访问和测量的要求，例如，现在就产生，以便他们可以影响基础设施的设计。如果这些要求没有及早了解，某些科学领域可能会被排除在基础设施之外。至关重要的是，现在就应让专家参与提出这些要求。该SGER将有助于为社会科学、法律、经济学和其他对网络科学和工程感兴趣的学科的网络研究人员提出基础设施要求，这将使新的网络基础设施产生尽可能广泛的影响。

In this SGER, BBN is proposing to engage in preliminary work on two untested and novel ideas. The first idea focuses on the challenge of how to generate and support realistic traffic flow on experimental, network infrastructure. Other network infrastructure typically relies on artificial traffic generation methods or user communities that are composed of the experimenters themselves. But, in order to provide experimenters with real traffic at scale, novel approaches and mechanisms need to be developed. If such mechanisms can be developed and real traffic is carried on the infrastructure, many hard problems remain. For example, how many and what types of opt-in mechanisms are actually needed? Will the infrastructure have enough ?user pull? (e.g., applications, capabilities, etc.) to attract users? What kind of guarantees can be given to the users ? in terms of privacy, reliability, security, etc? These questions can not currently be answered as new interdisciplinary knowledge needs to be generated. This SGER will allow for the development of a series of white papers on this topic, including 1) strategies to encourage opt-in, 2) applications that could drive user opt-in, 3) legal, ethical, privacy and security implications of user opt-in, 4) prospective user communities and methods for accessing them, and 5) the potential benefits of user opt-in for the commercial sector. The authors of these papers will meet at the Engineering Conferences to discuss and share their findings and how they might be implemented in an experimental network infrastructure.The second novel idea revolves around broadening research engagement and interest in network infrastructure. It is essential that the widest range of scientists and engineers with research interests beyond networking and distributed systems be allowed to carry out their own experiments on novel, network infrastructure. Other disciplines that might be interested include the social sciences, economics, business, law, medicine, and alternative energy, for example. Such a broad purview helps to ensure that new network infrastructure will widely influence research and education. But it is essential that their requirements for experimental workflow, data access and measurement, for example, be generated now so that they can influence infrastructure design. If those requirements are not known early, some areas of science may be locked out from use of the infrastructure. It is critical that experts be engaged now to generate those requirements. This SGER will help to generate infrastructure requirements for network researchers in the social sciences, law, economics, and other disciplines interested in network science and engineering, which will allow for new network infrastructure to have the broadest possible impacts.