MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores
Summary: Adaptive scheduling for transactional stream processing on multicore; MorphStream splits decisions into three dimensions and optimizes per-workload trade-offs. It delivers up to 3.4x throughput and 69% lower latency on dynamic, real-world workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yancan Mao (National University of Singapore)
- 2. Jianjun Zhao (Huazhong University of Science and Technology)
- 3. Shuhao Zhang (Singapore Institute of Technology)
- 4. Haikun Liu (Huazhong University of Science and Technology)
- 5. Volker Markl (Technical University of Berlin)
BibTeX Citation
@inproceedings{mao_sigmod23,
title = {{MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores}},
author = {Mao, Yancan and Zhao, Jianjun and Zhang, Shuhao and Liu, Haikun and Markl, Volker},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588913},
url = {https://dl.acm.org/doi/10.1145/3588913},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,939 | StreamOps: Cloud-Native Runtime Management for Streaming Services in ByteDance | 2023 | VLDB | 5.9378976e-05 |
| 6,168 | Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving | 2025 | SIGMOD | 5.8603375e-05 |
| 10,542 | Perseus: Achieving Strong Consistency and High Data Freshness for Scalable Geo-distributed HTAP | 2026 | SIGMOD | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 70 | The End of an Architectural Era (It’s Time for a Complete Rewrite) | 2007 | VLDB | 0.00037851432 |
| 231 | Storm @Twitter | 2014 | SIGMOD | 0.00023830094 |
| 594 | Linear Road: A Stream Data Management Benchmark | 2004 | VLDB | 0.00015816384 |
| 1,515 | DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems | 2021 | VLDB | 0.00010418766 |
| 1,939 | S-Store: Streaming Meets Transaction Processing | 2015 | VLDB | 9.3299482e-05 |
| 3,160 | S-Store: A Streaming NewSQL System for Big Velocity Applications | 2014 | VLDB | 7.5773134e-05 |
| 5,063 | Active Complex Event Processing over Event Streams | 2011 | VLDB | 6.2887376e-05 |
| 5,116 | Fast Failure Recovery for Main-Memory DBMSs on Multicores | 2017 | SIGMOD | 6.2653512e-05 |
| 5,331 | BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures | 2019 | SIGMOD | 6.1770377e-05 |
| 6,080 | Data Ingestion for the Connected World | 2017 | CIDR | 5.8898923e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,331 | BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures | 2019 | SIGMOD |
| 2 | 6,601 | AStream: Ad-hoc Shared Stream Processing | 2019 | SIGMOD |
| 3 | 6,125 | Parallel Index-based Stream Join on a Multicore CPU | 2020 | SIGMOD |
| 4 | 10,552 | Accelerating Stream Processing Engines via Hardware Offloading | 2026 | SIGMOD |
| 5 | 7,283 | Transaction Scheduling: From Conflicts to Runtime Conflicts | 2023 | SIGMOD |
| 6 | 11,946 | Synchronization Schemas | 2021 | PODS |
| 7 | 7,005 | Towards Optimal Transaction Scheduling | 2024 | VLDB |
| 8 | 11,531 | Low-Latency Adaptive Distributed Stream Join System Based on a Flexible Join Model | 2024 | SIGMOD |
| 9 | 3,923 | Analyzing Efficient Stream Processing on Modern Hardware | 2019 | VLDB |
| 10 | 4,261 | MorphoSys: Automatic Physical Design Metamorphosis for Distributed Database Systems | 2020 | VLDB |