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

协作研究 - ANET：莫比乌斯：多层社会感知网络基础设施

• 批准号: 0831785
• 负责人: Adriana Iamnitchi
• 金额: $ 43万
• 依托单位: University of South Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0831785&HistoricalAwards=false
• 关键词: Collaborative; Research; ANET; Mobius; Multi

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.

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社会计算的好处。具体来说，它研究了1)哪些移动社会计算问题可以用社会感知网络来解决；2)哪些社会信息可以被这些网络捕获和利用（假设具有隐私保护功能）；3)需要什么样的机制和系统架构才能使动态网络适应地理社会环境的变化；4)如何利用这些机制来设计具有社会意识的协议和服务；5)如何定义和执行个人和全球隐私政策，一般和访问社交环境；6)哪些编程抽象为快速的移动社会计算应用开发提供了灵活性和简单性。这项研究将为移动社会计算带来一种自组织、自适应、面向社区的两层网络基础设施。以人为中心的移动层运行移动应用程序并收集地理社会环境信息。点对点系统层运行支持移动应用程序的服务，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。为了进行大规模评估，该项目使用了nsf赞助的智能校园测试平台，向学生分发了数百部手机。这项研究将扩大对移动社会计算的理解，这是一个与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，在教育方面，南佛罗里达大学和新泽西理工学院这两所大学在来自弱势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，项目的基本成果被整合到跨学科的工作室课程中，创造性地探索移动社会计算的设计思想。