Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles
Summary: Proposes distributed-tracking schemes for continuous approximate quantiles over distributed streams, with space-per-site storage and low communication. A hybrid approach—local tracking plus simple prediction models—extends to holistic aggregates (e.g., heavy hitters), with experiments showing substantial savings. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Graham Cormode (AT&T)
- 2. Minos Garofalakis (AT&T)
- 3. S. Muthukrishnan (AT&T; Rutgers University)
- 4. Rajeev Rastogi (AT&T)
BibTeX Citation
@inproceedings{cormode_sigmod05,
title = {{Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles}},
author = {Cormode, Graham and Garofalakis, Minos and Muthukrishnan, S. and Rastogi, Rajeev},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066161},
url = {https://dl.acm.org/doi/10.1145/1066157.1066161},
year = {2005}
}
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