sherlockkenan / wukong

A graph-based distributed in-memory store that leverages efficient graph exploration to provide highly concurrent and low-latency queries over big linked data

Wukong for Linked Data

Wukong, a graph-based distributed in-memory store that leverages efficient graph exploration to provide highly concurrent and low-latency queries over big linked data.

Feature Highlights

• High-performance and scalable in-memory store
• Fast and concurrent query processing by graph exloration
• Efficient and accurate SPARQL planner
• Enabling RDMA feature of InfiniBand networking

For more details see Wukong Project, including new features, roadmap, instructions, etc.

Getting Started

• Installation
• Tutorials

License

Wukong is released under the Apache 2.0 license.

If you use Wukong in your research, please cite our paper:

@inproceedings{osdi2016wukong,
 author = {Shi, Jiaxin and Yao, Youyang and Chen, Rong and Chen, Haibo and Li, Feifei},
 title = {Fast and Concurrent RDF Queries with RDMA-based Distributed Graph Exploration},
 booktitle = {12th USENIX Symposium on Operating Systems Design and Implementation},
 series = {OSDI '16},
 year = {2016},
 month = Nov,
 isbn = {978-1-931971-33-1},
 address = {GA},
 pages = {317--332},
 url = {https://www.usenix.org/conference/osdi16/technical-sessions/presentation/shi},
 publisher = {USENIX Association},
}

Academic and Reference Papers

[SOSP] Sub-millisecond Stateful Stream Querying over Fast-evolving Linked Data. Yunhao Zhang, Rong Chen, and Haibo Chen. Proceedings of the 26th ACM Symposium on Operating Systems Principles, Shanghai, China, October, 2017.

[OSDI] Fast and Concurrent RDF Queries with RDMA-based Distributed Graph Exploration. Jiaxin Shi, Youyang Yao, Rong Chen, Haibo Chen, and Feifei Li. Proceedings of 12th USENIX Symposium on Operating Systems Design and Implementation, Savannah, GA, US, Nov, 2016.