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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