Taming Large-Volume Dynamic Graphs in the Cloud

在云端驯服大量动态图

• 批准号: FT200100787
• 负责人: Prof Lu Qin
• 金额: $ 60.28万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-06-30 至 2025-06-29
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT200100787
• 关键词: Taming; Large; Volume; Dynamic; Graphs

This project aims to develop efficient and scalable algorithms to process large-volume dynamic graphs in the cloud. The project expects to address key challenges and lay theoretical foundations in large-volume dynamic graph processing, which plays an important role in developing general-purpose, real-time structural search engines. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big graphs that evolve rapidly over time. These enable users to monitor and analyse structural information in large dynamic networks in real time. The project expects to open up a new research direction for graph processing to enrich frontier technologies and benefit many key applications in Australia.

该项目旨在开发高效且可扩展的算法来处理云中的大量动态图。该项目期望解决大容量动态图处理的关键挑战并奠定理论基础，这在开发通用、实时结构搜索引擎方面发挥着重要作用。该项目的预期成果包括理论基础和可扩展算法，以处理随时间快速变化的大图。这些使用户能够实时监控和分析大型动态网络中的结构信息。该项目预计将为图处理开辟一个新的研究方向，丰富前沿技术，并惠及澳大利亚的诸多关键应用。