Towards efficient processing of big graphs

实现大图的高效处理

• 批准号: DP170101628
• 负责人: Prof Xuemin Lin
• 金额: $ 36.95万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170101628
• 关键词: Towards; efficient; processing; big; graphs

This project aims to develop theory and techniques for efficient and scalable processing of Big Graph, a major field in Big Data. The project will focus on primitive graph queries covering many applications. Anticipated outcomes include a set of theories, indexing and data processing (including distributed and approximate) techniques. The success of the project is expected to contribute to the technology development and the scientific foundation of Big Graph processing.

该项目旨在开发理论和技术，用于大数据的主要领域Big Graph的高效和可扩展处理。该项目将专注于覆盖许多应用程序的原始图查询。预期成果包括一套理论、索引和数据处理（包括分布式和近似）技术。该项目的成功将有助于大图形处理的技术发展和科学基础。