Next-Generation Distributed Graph Engine for Big Graphs

Project Member(s): Zhang, Y., Qin, L.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
Australian Research Council (ARC Discovery Projects)

Start year: 2024

Summary: This project aims to develop efficient and scalable distributed graph engine to process big graphs. In particular, we will investigate the fundations for the distributed real-time graph engine with focus 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 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.

FOR Codes: Information systems, Electronic information storage and retrieval services, Data models, storage and indexing, Graph, social and multimedia data, Query processing and optimisation

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.