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

ANET：莫比乌斯：一种多层社会感知网络结构摘要本研究探讨了在网络协议和服务中嵌入社会知识以支持移动的社会计算的好处。具体来说，它调查1）哪些移动的社会计算问题可以解决与社会意识的网络; 2）什么社会信息是服从被捕获和利用这些网络（假设隐私保护能力）; 3）什么机制和系统架构是使动态网络适应地理社会背景变化所必需的; 4）如何利用这些机制来设计社会感知的协议和服务; 5）如何定义和执行个人和全球隐私政策，一般和访问社会背景;以及6）哪些编程抽象为快速移动的社会计算应用开发提供灵活性和简单性。这项研究将导致一个自组织，自适应，面向社区，双层网络基础设施的移动的社会计算。移动的以人为中心的层运行移动的应用程序并收集地理社交上下文信息。对等系统层运行支持移动的应用程序的服务，并适应地理社会环境，以实现节能、可扩展、安全和可靠的应用程序。对于大规模的评估，该项目使用NSF赞助的SmartCampus测试平台，向学生分发数百部智能手机。这项研究将扩大对移动的社会计算的理解，这是一个对整个社会具有重大实际意义的领域。为了促进结果的传播，源代码是公开的。值得注意的是，这两个机构，南佛罗里达大学和新泽西理工学院，是全国领先的毕业生比例从代表性不足的群体，研究人员有具体的计划，以吸引这些群体的学生在项目中的研究机会。 最后，该项目的基础成果集成在一个跨学科的工作室课程，创造性地探索设计思想在移动的社会计算。

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.