Timely Reporting of Heavy Hitters using External Memory
Summary: External-memory TED: real-time reporting of phi-heavy hitters with zero false negatives at their T-th occurrence. External-memory structures provide accuracy, sensitivity, and timeliness with tunable delay; logarithmic I/O under bounded delay; scales to 11M obs/sec. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Prashant Pandey (Carnegie Mellon University)
- 2. Shikha Singh (Wellesley College)
- 3. Michael A. Bender (State University of New York at Stony Brook)
- 4. Jonathan W. Berry (Sandia National Laboratories)
- 5. Martín Farach-Colton (Rutgers University)
- 6. Rob Johnson (VMware)
- 7. Thomas M. Kroeger (Sandia National Laboratories)
- 8. Cynthia A. Phillips (Sandia National Laboratories)
BibTeX Citation
@inproceedings{pandey_sigmod20,
title = {{Timely Reporting of Heavy Hitters using External Memory}},
author = {Pandey, Prashant and Singh, Shikha and Bender, Michael A. and Berry, Jonathan W. and Farach-Colton, Martín and Johnson, Rob and Kroeger, Thomas M. and Phillips, Cynthia A.},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3380598},
url = {https://dl.acm.org/doi/10.1145/3318464.3380598},
year = {2020}
}
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