Browse by UCL people
Group by: Type | Date
Number of items: 16.
2023
Gu, Rong;
Li, Simian;
Dai, Haipeng;
Wang, Hancheng;
Luo, Yili;
Fan, Bin;
Basat, Ran Ben;
... Chen, Guihai; + view all
(2023)
Adaptive Online Cache Capacity Optimization via
Lightweight Working Set Size Estimation at Scale.
In:
Proceedings of the 2023 USENIX Annual Technical Conference.
(pp. pp. 467-484).
USENIX: Boston, MA, USA.
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Langlet, Jonatan;
Ben Basat, Ran;
Oliaro, Gabriele;
Mitzenmacher, Michael;
Yu, Minlan;
Antichi, Gianni;
(2023)
Direct Telemetry Access.
In:
ACM SIGCOMM '23: Proceedings of the ACM SIGCOMM 2023 Conference.
(pp. pp. 832-849).
ACM
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Miano, Sebastiano;
Chen, Xiaoqi;
Basat, Ran Ben;
Antichi, Gianni;
(2023)
Fast In-kernel Traffic Sketching in eBPF.
ACM SIGCOMM Computer Communication Review
, 53
(1)
pp. 3-13.
10.1145/3594255.3594256.
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Shahout, Rana;
Friedman, Roy;
Ben Basat, Ran;
(2023)
Together is Better: Heavy Hitters Quantile Estimation.
Proceedings of the ACM on Management of Data
, 1
(1)
, Article 83. 10.1145/3588937.
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2022
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Liu, Jiaqian;
Dai, Haipeng;
Xia, Rui;
Li, Meng;
Basat, Ran Ben;
Li, Rui;
Chen, Guihai;
(2022)
DUET: A Generic Framework for Finding Special Quadratic Elements in Data Streams.
In:
Proceedings of the ACM Web Conference 2022.
(pp. pp. 2989-2997).
ACM
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Manousis, Antonis;
Cheng, Zhuo;
Ben Basat, Ran;
Liu, Zaoxing;
Sekar, Vyas;
(2022)
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams.
In: Özcan, Fatma and Freire, Juliana and Lin, Xuemin, (eds.)
Proceedings of the VLDB Endowment.
(pp. pp. 3249-3262).
Association for Computing Machinery (ACM): New York, NY, USA.
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Shahout, Rana;
Friedman, Roy;
Basat, Ran Ben;
(2022)
SQUAD: Combining Sketching and Sampling Is Better than Either for Per-item Quantile Estimation.
In:
SYSTOR '22: Proceedings of the 15th ACM International Conference on Systems and Storage.
ACM
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Vargaftik, Shay;
Basat, Ran Ben;
Portnoy, Amit;
Mendelson, Gal;
Ben-Itzhak, Yaniv;
Mitzenmacher, Michael;
(2022)
Communication-Efficient Federated Learning via Robust Distributed Mean Estimation.
In:
Proceedings of the 39th International Conference on Machine Learning.
(pp. pp. 21984-22014).
PMLR
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Vargaftik, Shay;
Basat, Ran Ben;
Portnoy, Amit;
Mendelson, Gal;
Itzhak, Yaniv Ben;
Mitzenmacher, Michael;
(2022)
Eden: Communication-efficient and Robust Distributed Mean Estimation for Federated Dearning.
In:
Proceedings of the 39th International Conference on Machine Learning.
(pp. pp. 21984-22014).
PMLR
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2021
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Basat, Ran Ben;
Jo, Seungbum;
Satti, Srinivasa Rao;
Ugare, Shubham;
(2021)
Approximate query processing over static sets and sliding windows☆.
Theoretical Computer Science
, 885
pp. 1-14.
10.1016/j.tcs.2021.06.015.
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Basat, RB;
Einziger, G;
Mitzenmacher, M;
Vargaftik, S;
(2021)
SALSA: Self-Adjusting Lean Streaming Analytics.
In:
Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE 2021).
(pp. pp. 864-875).
IEEE: Chania, Greece.
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Ben-Basat, Ran;
Einziger, Gil;
Feibish, Shir Landau;
Moraney, Jalil;
Tayh, Bilal;
Raz, Danny;
(2021)
Routing-Oblivious Network-Wide Measurements.
IEEE/ACM Transactions on Networking
, 29
(6)
pp. 2386-2398.
10.1109/TNET.2021.3061737.
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Ben-Basat, Ran;
Even, Guy;
Kawarabayashi, Ken-ichi;
Schwartzman, Gregory;
(2021)
Optimal distributed covering algorithms.
Distributed Computing
10.1007/s00446-021-00391-w.
(In press).
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Ben-Basat, Ran;
Mitzenmacher, Michael;
Vargaftik, Shay;
(2021)
How to send a real number using a single bit (and some shared randomness).
In:
Proceedings of the 48th International Colloquium on Automata, Languages, and Programming (ICALP 2021).
(pp. pp. 1-20).
Schloss Dagstuhl - Leibniz-Zentrum für Informatik: Dagstuhl, Germany.
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Langlet, Jonatan;
Ben-Basat, Ran;
Ramanathan, Sivaramakrishnan;
Oliaro, Gabriele;
Mitzenmacher, Michael;
Yu, Minlan;
Antichi, Gianni;
(2021)
Zero-CPU Collection with Direct Telemetry Access.
In:
Proceedings of the Twentieth ACM Workshop on Hot Topics in Networks.
(pp. pp. 108-115).
ACM
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Vargaftik, Shay;
Ben-Basat, Ran;
Portnoy, Amit;
Mendelson, Gal;
Ben-Itzhak, Yaniv;
Mitzenmacher, Michael;
(2021)
DRIVE: one-bit distributed mean estimation.
In:
Advances in Neural Information Processing Systems 34 (NeurIPS 2021).
NeurIPS Proceedings
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