Collaborative Research - ANET: Mobius: A Multi-Tier \\Socially-Aware Network Infrastructure

这项研究探索了在网络协议和服务中嵌入社会知识以支持移动社会计算的好处。具体地说，它调查了1)哪些移动社交计算问题可以通过社交感知网络来解决；2)哪些社交信息易于被这些网络捕获和利用(假设具有隐私保护能力)；3)需要什么样的机制和系统架构来使网络能够动态适应地理社交上下文的变化；4)如何利用这些机制来设计社交感知协议和服务；5)如何定义和执行总体和访问社交上下文的个人和全球隐私策略；以及6)哪些编程抽象为快速移动社交计算应用程序开发提供了灵活性和简单性。这项研究将为移动社会计算提供一个自组织、自适应、面向社区的双层网络基础设施。以人为中心的移动层运行移动应用程序并收集地理社会背景信息。对等系统层运行支持移动应用的服务，并适应地理社交环境，以实现节能、可扩展、安全和可靠的应用。对于大规模的评估，本项目使用了NSF赞助的SmartCampus试验台，向学生分发了数百部智能手机。这项研究将扩大对移动社会计算的理解，这是一个对整个社会具有很大现实意义的领域。为了促进结果的传播，源代码被公开提供。在教育方面值得注意的是，南佛罗里达大学和新泽西理工学院这两个机构在来自代表不足的群体的毕业生比例方面都处于全国领先地位，研究人员有具体的计划来吸引这些群体的学生参与该项目的研究机会。最后，该项目的基本成果被整合到一个跨学科的工作室课程中，该课程创造性地探索移动社交计算的设计思想。

ANET: Mobius: A Multi-Tier Socially-Aware Network InfrastructureAbstractThis research explores the benefits of embedding social knowledge in network protocols and services to support mobile social computing. Specifically, it investigates 1) which mobile social computing problems can be solved with socially aware networks; 2) what social information is amenable to being captured and utilized by these networks (assuming privacy preserving capabilities); 3) what mechanisms and system architectures are necessary to enable dynamic network adaptation to geo-social context changes; 4) how to leverage these mechanisms to design socially-aware protocols and services; 5) how to define and enforce individual and global privacy policies, in general and for accessing social context; and 6) which programming abstractions provide both flexibility and simplicity for rapid mobile social computing application development. This research will lead to a self-organizing, self-adaptive, community-oriented, two-tier network infrastructure for mobile social computing. The mobile human-centric tier runs mobile applications and collects geo-social context information. The peer-to-peer system tier runs services in support of mobile applications and adapts to the geo-social context to enable energy-efficient, scalable, secure, and reliable applications. For large-scale evaluation, this project uses the NSF-sponsored SmartCampus testbed with hundreds smart phones distributed to students.This research will expand the understanding of mobile social computing, an area of great practical relevance to the society at large. To spur the dissemination of results, the source code is made publicly available. Noteworthy educationally is that both institutions, University of South Florida and New Jersey Institute of Technology, are among the national leaders in the percentages of graduates from under-represented groups, and the researchers have specific plans to attract students from these groups to research opportunities in the project. Finally, the foundational results of the project are integrated in an inter-disciplinary studio course that creatively explores design ideas in mobile social computing.