Optimizing Data-intensive Systems in Disaggregated Data Centers with TELEPORT
Summary: TELEPORT enables compute pushdown for data-intensive workloads on disaggregated compute/memory/accelerator fabrics. Optimization principles for columnar in-memory DBMS, graph processing, and MapReduce yield 10x speedups on disaggregated OSes, highlighting efficiency and elasticity. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qizhen Zhang (University of Pennsylvania)
- 2. Xinyi Chen (University of Pennsylvania)
- 3. Sidharth Sankhe (University of Pennsylvania)
- 4. Zhilei Zheng (University of Pennsylvania)
- 5. Ke Zhong (University of Pennsylvania)
- 6. Sebastian Angel (University of Pennsylvania)
- 7. Ang Chen (Rice University)
- 8. Vincent Liu (University of Pennsylvania)
- 9. Boon Thau Loo (University of Pennsylvania)
BibTeX Citation
@inproceedings{zhang_sigmod22,
title = {{Optimizing Data-intensive Systems in Disaggregated Data Centers with TELEPORT}},
author = {Zhang, Qizhen and Chen, Xinyi and Sankhe, Sidharth and Zheng, Zhilei and Zhong, Ke and Angel, Sebastian and Chen, Ang and Liu, Vincent and Loo, Boon Thau},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517856},
url = {https://dl.acm.org/doi/10.1145/3514221.3517856},
year = {2022}
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