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Klink: Progress-Aware Scheduling for Streaming Data Systems
Summary: Leveraging watermarks to infer stream progress and window deadlines, Klink schedules pipelines to unblock windows, speed propagation. Runs on Apache Flink; shows gains over schedulers for scale-up/scale-out workloads with memory-aware execution.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6076
- Venue
- SIGMOD
- Year
- 2021
- Pagerank
- 4.1905499e-05
- Overall Rank
- 11,471 | 20.28%
- DOI
-
10.1145/3448016.3452794
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 191 |
The Design of the Borealis Stream Processing Engine |
2005 |
CIDR |
0.00035714897 |
| 287 |
Storm @Twitter |
2014 |
SIGMOD |
0.00028917909 |
| 314 |
MillWheel: Fault-Tolerant Stream Processing at Internet Scale |
2013 |
VLDB |
0.00028059664 |
| 433 |
Flexible Time Management in Data Stream Systems |
2004 |
PODS |
0.00023336894 |
| 536 |
The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing |
2015 |
VLDB |
0.00020651621 |
| 601 |
Linear Road: A Stream Data Management Benchmark |
2004 |
VLDB |
0.00019372971 |
| 822 |
Twitter Heron: Stream Processing at Scale |
2015 |
SIGMOD |
0.00016226851 |
| 1,097 |
Trill: A High-Performance Incremental Query Processor for Diverse Analytics |
2015 |
VLDB |
0.00014083973 |
| 1,136 |
Chain: Operator Scheduling for Memory Minimization in Data Stream Systems |
2003 |
SIGMOD |
0.00013745517 |
| 1,549 |
Out-of-Order Processing: A New Architecture for High-Performance Stream Systems |
2008 |
VLDB |
0.00011407374 |
| 1,917 |
Dynamic Pipeline Scheduling for Improving Interactive Query Performance |
2001 |
VLDB |
0.00010104953 |
| 2,406 |
Operator Scheduling in a Data Stream Manager* |
2003 |
VLDB |
8.8718534e-05 |
| 2,710 |
Design, Implementation, and Evaluation of the Linear Road Benchmark on the Stream Processing Core |
2006 |
SIGMOD |
8.2580301e-05 |
| 3,573 |
S-Store: A Streaming NewSQL System for Big Velocity Applications |
2014 |
VLDB |
6.9524741e-05 |
| 3,771 |
SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures |
2016 |
SIGMOD |
6.7738535e-05 |
| 4,490 |
Analyzing Efficient Stream Processing on Modern Hardware |
2019 |
VLDB |
6.137834e-05 |
| 6,430 |
Providing Streaming Joins as a Service at Facebook |
2018 |
VLDB |
5.0587634e-05 |
| 6,628 |
A Holistic View of Stream Partitioning Costs |
2017 |
VLDB |
4.9833118e-05 |
| 7,560 |
FASTER: An Embedded Concurrent Key-Value Store for State Management |
2018 |
VLDB |
4.7060511e-05 |
| 7,795 |
Quality-Driven Continuous Query Execution over Out-of-Order Data Streams |
2015 |
SIGMOD |
4.6446115e-05 |
| 8,678 |
Efficient Scheduling of Heterogeneous Continuous Queries |
2006 |
VLDB |
4.4644955e-05 |
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Design, Implementation, and Evaluation of the Linear Road Benchmark on the Stream Processing Core |
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SIGMOD |
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| 1,136 |
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| 9,925 |
Darwin: Scale-In Stream Processing |
2022 |
CIDR |
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| 7,932 |
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2025 |
SIGMOD |
4.6089395e-05 |
| 11,812 |
State Management in Apache Flink |
2017 |
VLDB |
4.1905499e-05 |
| 8,078 |
AJoin: Ad-hoc Stream Joins at Scale |
2020 |
VLDB |
4.5873626e-05 |
| 6,760 |
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SIGMOD |
4.9304882e-05 |
| 6,769 |
Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow |
2021 |
VLDB |
4.9274854e-05 |