CC* Integration-Large: (BLUE) Software-Defined CyberInfrastructure to enable data-driven smart campus applications

该奖项的全部或部分资金来自《2021年美国救援计划法案》(公共法律117-2)。我们开发了一个名为BLUE的新校园基础设施，以支持基于分布式物联网设备的高效、安全的数据驱动研究和应用程序开发。Blue解决了支持基于分布式物联网设备的创新智能校园应用的三个主要挑战：(A)建立可编程的园区基础设施以支持分布式和临时物联网服务，(B)提供强大的物联网数据安全和隐私保护，以及(C)构建边缘云基础设施以提供计算、网络和存储资源来支持智能校园应用。Blue是一种新的软件定义的基础设施，用于支持分布式物联网数据源上基于物联网的数据处理、分析和分发。Blue还支持一套有形的指标，如网络QoS指标、位置、资源消耗等，使研究人员能够有效地验证他们的研究模型。此外，BLUE将隐私和安全保护作为一项基本的使能技术，将计算推向边缘计算和网络基础设施。基于此项目构建的研究应用程序与跨多个地理站点的协作者共享一个共同的需求，即低延迟传输越来越大的数据集。该项目将促进全国校园级动态网络服务的范例，使前沿网络和特定领域的研究成为可能。BLUE可以受益于全方位的校园学术活动，包括由NSF和其他联邦机构资助的研究活动。该项目的成果将基于开放源码许可协议与公众共享。此外，本科生和研究生研究人员将接受不同的STEM技能培训，包括网络研究、大数据分析和特定领域的研究。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).A new campus infrastructure called BLUE is developed to enable efficient and secure data-driven research and application development based on distributed IoT devices. BLUE addresses three main challenges for supporting innovative smart campus applications based on distributed IoT devices: (a) establishing a programable campus infrastructure to support distributed and ad hoc IoT services, (b) providing strong security and privacy protection of IoT data, and (c) constructing an edge-cloud infrastructure to provide computing, networking, and storage resources to support smart-campus applications. BLUE is a new software-defined infrastructure to support IoT-based data processing, analysis, and distribution over distributed IoT data sources. BLUE also supports a set of tangible metrics, such as network QoS metrics, location, resource consumption, etc., to effectively enable researchers to validate their research models. Moreover, BLUE takes privacy and security protection as a fundamental enabling technique by pushing the computation towards the edge computing and networking infrastructure. Research applications built on this project share a common requirement for low-latency transfer of ever-larger data sets with collaborators across multiple geographic sites. This project will contribute to a national paradigm of campus-level dynamic network services that enables leading-edge network and domain-specific research.BLUE can benefit the full range of campus scholarly activities, including research activities funded by NSF and other federal agencies. The outcomes of this project will be shared with the public based on an open-source license agreement. In addition, undergraduate and graduate student researchers will receive diverse STEM skills training, including networking research, big data analysis, and domain-specific research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.