TriAD: A Distributed Shared-Nothing RDF Engine based on Asynchronous Message Passing
Summary: TriAD is a distributed shared-nothing RDF engine using asynchronous message passing and join-ahead pruning via RDF graph summarization with locality-based partitioning. Multi-threaded, asynchronous joins run in parallel, delivering up to two orders of magnitude faster than centralized engines and >3× faster than current distributed rivals on LUBM, BTC, WSDTS. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sairam Gurajada (Max Planck Institute)
- 2. Stephan Seufert (Max Planck Institute)
- 3. Iris Miliaraki (Max Planck Institute)
- 4. Martin Theobald (University of Antwerp)
BibTeX Citation
@inproceedings{gurajada_sigmod14,
title = {{TriAD: A Distributed Shared-Nothing RDF Engine based on Asynchronous Message Passing}},
author = {Gurajada, Sairam and Seufert, Stephan and Miliaraki, Iris and Theobald, Martin},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2558555.2610511},
url = {https://dl.acm.org/doi/10.1145/2558555.2610511},
year = {2014}
}
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