Query-able Kafka: An agile data analytics pipeline for mobile wireless networks
Summary: Targets telecom streams where GB-scale records arrive at moderate rates, exposing a mismatch in conventional Kafka/Spark pipelines. Queryable Kafka performs upstream filtering/transformation, reducing downstream work and outperforming four architectures with negligible overhead. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Eric Falk (University of Luxembourg)
- 2. Vijay K. Gurbani (Bell Laboratories, Nokia Networks)
- 3. Radu State (University of Luxembourg)
BibTeX Citation
@article{falk_vldb17,
title = {{Query-able Kafka: An agile data analytics pipeline for mobile wireless networks}},
author = {Falk, Eric and Gurbani, Vijay K. and State, Radu},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
pages = {1646--1659},
doi = {10.14778/3137765.3137771},
url = {https://doi.org/10.14778/3137765.3137771},
year = {2017}
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 220 | Storm @Twitter | 2014 | SIGMOD | 0.00024244587 |
| 230 | Gigascope: A Stream Database for Network Applications | 2003 | SIGMOD | 0.00023891474 |
| 1,242 | Druid: A Real-time Analytical Data Store | 2014 | SIGMOD | 0.00011516162 |
| 1,324 | Apache Hadoop Goes Realtime at Facebook | 2011 | SIGMOD | 0.00011149314 |
| 2,357 | Muppet: MapReduce-Style Processing of Fast Data | 2012 | VLDB | 8.7013171e-05 |
| 4,208 | Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics | 2015 | VLDB | 6.8319812e-05 |
| 5,082 | DataBlitz: A High Performance Main-Memory Storage Manager | 1998 | VLDB | 6.370373e-05 |
| 5,748 | Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture | 2013 | SIGMOD | 6.1014813e-05 |
| 9,081 | Gobblin: Unifying Data Ingestion for Hadoop | 2015 | VLDB | 5.3251649e-05 |
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