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Publication search results
found 34 matches
- 2022
- Pratyush Agnihotri
, Boris Koldehofe
, Carsten Binnig, Manisha Luthra:
PANDA: performance prediction for parallel and dynamic stream processing. DEBS 2022: 180-181 - Antoine Amarilli, Christophe Claramunt, Demetrios Zeinalipour-Yazti:
Climate change and computing: facts, perspectives and an open discussion. DEBS 2022: 6 - Bochra Boughzala
, Christoph Gärtner, Boris Koldehofe
:
Window-based parallel operator execution with in-network computing. DEBS 2022: 91-96 - Cecilia Calavaro, Gabriele Russo Russo, Valeria Cardellini
:
Real-time analysis of market data leveraging Apache Flink. DEBS 2022: 162-165 - Sebastian Frischbier, Jawad Tahir, Christoph Doblander, Arne Hormann, Ruben Mayer, Hans-Arno Jacobsen:
Detecting trading trends in financial tick data: the DEBS 2022 grand challenge. DEBS 2022: 132-138 - Roman Heinrich, Manisha Luthra, Harald Kornmayer
, Carsten Binnig:
Zero-shot cost models for distributed stream processing. DEBS 2022: 85-90 - Pat Helland:
I'm so glad I'm uncoordinated!: coordination is increasingly painful... what can be done? DEBS 2022: 2 - Muhammed Tawfiqul Islam
, Renata Borovica-Gajic
, Shanika Karunasekera:
A multi-level caching architecture for stateful stream computation. DEBS 2022: 67-78 - Stefanos Kalogerakis
, Antonis Papaioannou, Kostas Magoutis:
Efficient processing of high-volume tick data with Apache Flink for the DEBS 2022 grand challenge. DEBS 2022: 156-161 - Falaah Arif Khan:
It's funny because it's true: confronting scientific catechisms through comic books! DEBS 2022: 5 - Evangelos Kolyvas
, Spyros Voulgaris:
CougaR: fast and eclipse-resilient dissemination for blockchain networks. DEBS 2022: 7-18 - Emmanouil Kritharakis, Shengyao Luo, Vivek Unnikrishnan, Karan Vombatkere:
Detecting trading trends in streaming financial data using Apache Flink. DEBS 2022: 145-150 - Kevin Li, Daniel Fernandez, David Klingler, Yuhan Gao, Jacob Rivera, Kia Teymourian:
A high-performance processing system for monitoring stock market data stream. DEBS 2022: 166-170 - Ioana Manolescu:
Teasing journalistic findings out of heterogeneous sources: a data/AI journey. DEBS 2022: 1 - Alessandro Margara:
A unifying model for distributed data-intensive systems. DEBS 2022: 176-179 - Luca De Martini, Alessandro Margara, Gianpaolo Cugola:
Analysis of market data with Noir: DEBS grand challenge. DEBS 2022: 139-144 - Frank McSherry:
Materialize: a platform for building scalable event based systems. DEBS 2022: 3 - Paschalis Mpeis, Athina Hadjichristodoulou, Jaime Bleye Vicario, Demetrios Zeinalipour-Yazti:
SMAS: a smart alert system for localization and first response to fires on ro-ro vessels. DEBS 2022: 182-185 - Joffrey de Oliveira, Christophe Callé, Weiqin Xu, Philippe Calvez, Olivier Curé:
Knowledge graph stream processing at the edge. DEBS 2022: 115-125 - Quan Pham, Quang Nguyen, Ryte Richard, Shekhar Sharma, Xavier Ruiz:
Detecting technical trading patterns in financial data with Apache Flink: DEBS grand challenge 2022. DEBS 2022: 151-155 - Steven Purtzel, Samira Akili, Matthias Weidlich:
Predicate-based push-pull communication for distributed CEP. DEBS 2022: 31-42 - Timo Räth:
Interactive and explorative stream processing. DEBS 2022: 194-197 - Timo Räth, Kai-Uwe Sattler:
StreamVizzard: an interactive and explorative stream processing editor. DEBS 2022: 186-189 - Liuyang Ren, Paul A. S. Ward, Bernard Wong:
Toward reducing cross-shard transaction overhead in sharded blockchains. DEBS 2022: 43-54 - Till Rohrmann:
Rethinking how distributed applications are built. DEBS 2022: 4 - Vladimir Sladojevic, Sebastian Frischbier, Alexander Echler, Mario Paic, Alessandro Margara:
Deriving a realistic workload model to simulate high-volume financial data feeds for performance benchmarking. DEBS 2022: 126-131 - Vasileios Stavropoulos, Elias Alevizos, Nikos Giatrakos
, Alexander Artikis:
Optimizing complex event forecasting. DEBS 2022: 19-30 - Artem Trofimov, Nikita Sokolov, Nikita Marshalkin, Igor Kuralenok, Boris Novikov
:
Substream management in distributed streaming dataflows. DEBS 2022: 55-66 - Michail Tsenos, Aristotelis Peri, Vana Kalogeraki:
AMESoS: a scalable and elastic framework for latency sensitive streaming pipelines. DEBS 2022: 103-114 - Espen Volnes, Thomas Plagemann, Boris Koldehofe
, Vera Goebel:
Travel light: state shedding for efficient operator migration. DEBS 2022: 79-84
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