FaaSBoard: Efficient Graph Processing with a Disaggregated Architecture on Serverless Services
Summary: FaaSBoard disaggregates graph processing across serverless services, combining image-based loading, proxy-mediated shared-memory communication, and 2D partitioning. Proactive terminate-and-respawn elasticity yields up to 3.8× performance and 61.5% lower cost than FaaSGraph. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Yushi Liu (Shanghai Jiao Tong University)
- 2. Yikang Ruan (Shanghai Jiao Tong University)
- 3. Letian Ruan (Shanghai Jiao Tong University)
- 4. Zijun Li (Nanyang Technological University)
- 5. Sen Gao (National University of Singapore)
- 6. Weihao Cui (Shanghai Jiao Tong University)
- 7. Shixuan Sun (Shanghai Jiao Tong University)
- 8. Quan Chen (Shanghai Jiao Tong University)
- 9. Shuo Quan (China Telecom Cloud Computing Research Institute)
- 10. Jie Wu (China Telecom Cloud Computing Research Institute)
- 11. Bingsheng He (National University of Singapore)
- 12. Minyi Guo (Shanghai Jiao Tong University)
BibTeX Citation
@inproceedings{liu_sigmod26,
title = {{FaaSBoard: Efficient Graph Processing with a Disaggregated Architecture on Serverless Services}},
author = {Liu, Yushi and Ruan, Yikang and Ruan, Letian and Li, Zijun and Gao, Sen and Cui, Weihao and Sun, Shixuan and Chen, Quan and Quan, Shuo and Wu, Jie and He, Bingsheng and Guo, Minyi},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802054},
url = {https://dl.acm.org/doi/10.1145/3802054},
year = {2026}
}
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