SBIR Phase I: Non-Blocking Updates to Graph Databases

小型企业创新研究(SBIR)第一阶段项目的更广泛影响是为金融、资源规划、保险和网络安全应用提供新的硬件和软件架构。拟议的技术将降低成本，提高决策质量。该项目将通过云提供按需资源，在本地提供隐私保护，并在现场提供即时反应。通过云提供商提供按需访问的能力将扩大对更多社区以及教育机构的访问。这一小型企业创新研究(SBIR)第一阶段项目扩展了流图分析的前沿。当前的分析方法假定为具有完全可见性的静态环境。这个项目提出了一个流图分析系统，不需要严格的瞬时假设，除非需要，并且能够随着数据的更新而演变查询。拟议的系统将足够快地响应快节奏的应用程序的需求，如金融和新闻更新。这一奖项反映了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。

The broader impact of this Small Business Innovation Research (SBIR) Phase I project is to provide a novel hardware and software architecture for finance, resource planning, insurance, and cybersecurity applications. The proposed technology will reduce costs and improve decision-making quality. This project will provide on-demand resources via the cloud, on premises for privacy, and in-situ for immediate reaction. Providing capability for on-demand access via cloud providers will expand access to more communities, as well as to educational institutions.This Small Business Innovation Research (SBIR) Phase I project expands the frontier of streaming graph analysis. Current analysis methods assume a static environment with full visibility. This project proposes a system for streaming graph analysis without strict instantaneous assumptions unless required and with the capability to evolve queries as data are updated. The proposed system will respond sufficiently fast to address the needs of fast-paced applications, such as financial and news updates.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.