Pontus: A Memory-Efficient and High-Accuracy Approach for Persistence-Based Item Lookup in High-Velocity Data Streams.

Weihe Li|Zukai Li|Beyza Bütün|Alec F. Diallo|Marco Fiore|Paul Patras


Anthology ID:DBLP:conf/www/LiLBD0P25
Volume:Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1783-1794
URL:https://doi.org/10.1145/3696410.3714670
DOI:https://doi.org/10.1145/3696410.3714670
DBLP:conf/www/LiLBD0P25
BibTeX:
@inproceedings{li-2025-pontus, author = {Weihe Li and Zukai Li and Beyza B\"{u}t\"{u}n and Alec F. Diallo and Marco Fiore and Paul Patras}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Pontus: A Memory-Efficient and High-Accuracy Approach for Persistence-Based Item Lookup in High-Velocity Data Streams}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {1783--1794}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714670}, doi = {https://doi.org/10.1145/3696410.3714670} }