Next-Generation Distributed Graph Engine for Big Graphs

适用于大图的下一代分布式图引擎

• 批准号: DP240101322
• 负责人: Prof Lu Qin
• 金额: $ 35.15万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240101322
• 关键词: Next; Generation; Distributed; Graph; Engine

This project aims to develop an efficient and scalable distributed graph engine to process big graphs. In particular, we will investigate the foundations for the distributed real-time graph engine, focusing on graph storage and graph operators, and then provide solutions for a set of representative graph mining and query processing tasks. Expected outcomes of this project include theoretical foundations and a scalable real-time graph engine to process big graphs as well as a system prototype for evaluation and to demonstrate the practical value. Success in this project should see significant benefits for many important applications such as cybersecurity, e-commerce, health and road networks.

该项目旨在开发一个高效且可扩展的分布式图引擎来处理大图。特别是，我们将研究分布式实时图引擎的基础，重点关注图存储和图运算符，然后为一组代表性的图挖掘和查询处理任务提供解决方案。该项目的预期成果包括理论基础和可扩展的实时图引擎来处理大图，以及用于评估和展示实用价值的系统原型。该项目的成功将为网络安全、电子商务、健康和道路网络等许多重要应用带来显着效益。