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AStream: Ad-hoc Shared Stream Processing

Summary: First distributed ad-hoc shared stream processing framework on Apache Flink, enabling multi-tenant ad-hoc queries to share computation. Composable integration for joins, aggregations, and windows with exactly-once, incremental execution; yields high throughput for many concurrent queries (comparable to Flink for one query, orders of magnitude better for many). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5758
Venue
SIGMOD
Year
2019
Pagerank
5.8668582e-05
Overall Rank
6,482 | 55.53%
DOI
10.1145/3299869.3319884

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{karimov_sigmod19,
        title = {{AStream: Ad-hoc Shared Stream Processing}},
        author = {Karimov, Jeyhun and Rabl, Tilmann and Markl, Volker},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3319884},
        url = {https://dl.acm.org/doi/10.1145/3299869.3319884},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 28 of 28 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0024089429
24 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00054865648
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00041071971
193 Continuously Adaptive Continuous Queries over Streams 2002 SIGMOD 0.00025964286
220 Storm @Twitter 2014 SIGMOD 0.00024244587
361 The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing 2015 VLDB 0.00020138717
383 QPipe: A Simultaneously Pipelined Relational Query Engine 2005 SIGMOD 0.00019520728
670 SharedDB: Killing One Thousand Queries With One Stone 2012 VLDB 0.00015157572
710 Trill: A High-Performance Incremental Query Processor for Diverse Analytics 2015 VLDB 0.00014715033
761 Cooperative Scans: Dynamic Bandwidth Sharing in a DBMS 2007 VLDB 0.00014254351
1,022 A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses 2009 VLDB 0.00012602841
1,024 The DataPath System: A Data-Centric Analytic Processing Engine for Large Data Warehouses 2010 SIGMOD 0.0001258839
1,190 Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark 2018 SIGMOD 0.00011743246
1,238 BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications 2017 SIGMOD 0.00011543368
1,354 On-the-Fly Sharing for Streamed Aggregation 2006 SIGMOD 0.00011057534
1,422 State Management in Apache Flink: Consistent Stateful Distributed Stream Processing 2017 VLDB 0.00010823039
1,637 On the Design and Scalability of Distributed Shared-Data Databases 2015 SIGMOD 0.0001015538
1,703 Semantics and Evaluation Techniques for Window Aggregates in Data Streams 2005 SIGMOD 9.9673138e-05
1,879 Predictable Performance for Unpredictable Workloads 2009 VLDB 9.5613416e-05
2,276 Shared Workload Optimization 2014 VLDB 8.8196376e-05
2,735 Scheduling for shared window joins over data streams 2003 VLDB 8.1896124e-05
3,117 Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems 2018 VLDB 7.7382559e-05
4,330 Sharing Data and Work Across Concurrent Analytical Queries 2013 VLDB 6.7563122e-05
4,508 To Share or Not to Share? 2007 VLDB 6.6561159e-05
4,639 MQJoin: Efficient Shared Execution of Main-Memory Joins 2016 VLDB 6.5918791e-05
5,419 Building a Replicated Logging System with Apache Kafka 2015 VLDB 6.2255013e-05
5,686 OLTPShare: The Case for Sharing in OLTP Workloads 2018 VLDB 6.1220514e-05
6,528 State-Slice: New Paradigm of Multi-query Optimization of Window-based Stream Queries 2006 VLDB 5.8502273e-05
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