OpenEdge: Toward Open and Transparent Edge Computing and Its Application in Public Safety

OpenEdge：走向开放透明的边缘计算及其在公共安全中的应用

• 批准号: 1741635
• 负责人: Weisong Shi
• 金额: $ 5万
• 依托单位: Wayne State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1741635&HistoricalAwards=false
• 关键词: OpenEdge; Toward; Open; Transparent; Edge

The objectives of this project are three-fold: (1) identify public safety application challenges; (2) brainstorm the initial solutions to technical challenges in edge computing in general and public safety applications in particular; and (3) form the team and prepare for a large proposal. The identified research challenges call for solutions in all of the components of an edge computing platform. Edge computing poses a vastly different set of research challenges due to its distinct infrastructure. We envision several new technologies will be developed to enable various applications to run on the developed platform with guaranteed efficiency and safety. New theory on distributed computing and scheduling/allocation algorithms and systems science in better understanding the new systems will contribute to the body of the knowledge base in computer science. The identified public safety applications will exemplify and capture the essence of the core research in edge computing. They will illustrate a practical and comprehensive setting for people to explore the challenging problems in edge computing without losing the touch of reality.Edge computing is envisioned to enable many applications in addition to the cloud computing paradigm. Developing such an edge computing system will shed light on the design and deployment of similar systems in the industry. The research results will be valuable to many practitioners in edge computing. The identified application specifications will be useful to many researchers, for them to understand problem settings and build new solutions. Forming a team will harness the collective mind of different expertise and make much broader impacts on the scientific development. Recruiting a team of scientists will also stimulate and enhance the research, education, and research result dissemination of edge computing in the local community of each participant.

该项目的目标有三个：（1）识别公共安全应用挑战； (2) 集思广益，针对一般边缘计算、特别是公共安全应用中的技术挑战提出初步解决方案； (3) 组建团队并准备大型提案。已确定的研究挑战需要针对边缘计算平台的所有组件提供解决方案。由于其独特的基础设施，边缘计算带来了一系列截然不同的研究挑战。我们预计将开发多项新技术，使各种应用程序能够在所开发的平台上运行，并保证效率和安全性。关于分布式计算和调度/分配算法以及系统科学的新理论有助于更好地理解新系统，这将有助于计算机科学知识库的主体。确定的公共安全应用将体现并捕捉边缘计算核心研究的本质。它们将为人们展示一个实用且全面的环境，让人们在不脱离现实的情况下探索边缘计算中的挑战性问题。除了云计算范式之外，边缘计算还有望实现许多应用程序。开发这样的边缘计算系统将为业界类似系统的设计和部署提供启发。研究成果对于边缘计算领域的许多从业者来说将具有价值。确定的应用规范将对许多研究人员有用，让他们了解问题设置并构建新的解决方案。组建团队将利用不同专业知识的集体智慧，并对科学发展产生更广泛的影响。招募科学家团队还将刺激和加强边缘计算在每个参与者当地社区的研究、教育和研究成果传播。

项目成果

Firework: Data Processing and Sharing for Hybrid Cloud-Edge Analytics

• DOI: 10.1109/tpds.2018.2812177
• 发表时间: 2018-09
• 期刊: IEEE Transactions on Parallel and Distributed Systems
• 影响因子: 5.3
• 作者: Quan Zhang;Qingyang Zhang;Weisong Shi;Hong Zhong

Efficient Service Handoff Across Edge Servers via Docker Container Migration

• DOI: 10.1145/3132211.3134460
• 发表时间: 2017-01-01
• 期刊: SEC 2017: 2017 THE SECOND ACM/IEEE SYMPOSIUM ON EDGE COMPUTING (SEC'17)
• 作者: Ma, Lele;Yi, Shanhe;Li, Qun
• 通讯作者: Li, Qun