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Scabbard: Single-Node Fault-Tolerant Stream Processing
Summary: Scabbard is the first single-node, multi-core SPE with exact-once fault tolerance under limited I/O, removing cluster recovery. Persistence is integrated in the operator graph, with parallel, marker-guided discard and workload-aware compression to sustain 200M tuples/s and sub-second recovery.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12843
- Venue
- VLDB
- Year
- 2022
- Pagerank
- 4.3341665e-05
- Overall Rank
- 9,496 | 33.94%
- DOI
-
10.14778/3489496.3489515
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 41 |
NiagaraCQ: A Scalable Continuous Query System for Internet Databases |
2000 |
SIGMOD |
0.00073964959 |
| 50 |
A Case for Redundant Arrays of Inexpensive Disks (RAID) |
1988 |
SIGMOD |
0.00067394827 |
| 60 |
Efficiently Compiling Efficient Query Plans for Modern Hardware |
2011 |
VLDB |
0.00064439773 |
| 115 |
Eddies: Continuously Adaptive Query Processing |
2000 |
SIGMOD |
0.00046221215 |
| 131 |
Integrating Compression and Execution in Column-Oriented Database Systems |
2006 |
SIGMOD |
0.0004370331 |
| 210 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003404384 |
| 288 |
Storm @Twitter |
2014 |
SIGMOD |
0.00028939871 |
| 314 |
MillWheel: Fault-Tolerant Stream Processing at Internet Scale |
2013 |
VLDB |
0.00028084774 |
| 569 |
Optimizing Space Amplification in RocksDB |
2017 |
CIDR |
0.00019924098 |
| 600 |
Linear Road: A Stream Data Management Benchmark |
2004 |
VLDB |
0.0001938744 |
| 824 |
Twitter Heron: Stream Processing at Scale |
2015 |
SIGMOD |
0.0001623129 |
| 899 |
Faster: A Concurrent Key-Value Store with In-Place Updates |
2018 |
SIGMOD |
0.00015509287 |
| 1,098 |
Trill: A High-Performance Incremental Query Processor for Diverse Analytics |
2015 |
VLDB |
0.00014114442 |
| 1,206 |
Rack-Scale In-Memory Join Processing using RDMA |
2015 |
SIGMOD |
0.00013281657 |
| 1,226 |
Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management |
2013 |
SIGMOD |
0.00013180799 |
| 1,548 |
Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark |
2018 |
SIGMOD |
0.00011431383 |
| 3,761 |
Dynamic Plan Migration for Continuous Queries Over Data Streams |
2004 |
SIGMOD |
6.7804871e-05 |
| 3,762 |
SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures |
2016 |
SIGMOD |
6.7804471e-05 |
| 4,044 |
Megaphone: Latency-conscious state migration for distributed streaming dataflows |
2019 |
VLDB |
6.4995312e-05 |
| 4,488 |
Analyzing Efficient Stream Processing on Modern Hardware |
2019 |
VLDB |
6.145117e-05 |
| 4,617 |
Adaptive Query Processing in the Looking Glass |
2005 |
CIDR |
6.0446738e-05 |
| 4,795 |
Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines |
2020 |
SIGMOD |
5.9158043e-05 |
| 5,193 |
LightSaber: Efficient Window Aggregation on Multi-core Processors |
2020 |
SIGMOD |
5.6371049e-05 |
| 5,263 |
Consistent Regions: Guaranteed Tuple Processing in IBM Streams |
2016 |
VLDB |
5.5976361e-05 |
| 5,657 |
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures |
2019 |
SIGMOD |
5.3864606e-05 |
| 5,939 |
Clonos: Consistent Causal Recovery for Highly-Available Streaming Dataflows |
2021 |
SIGMOD |
5.2641681e-05 |
| 6,648 |
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation |
2020 |
SIGMOD |
4.9771723e-05 |
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| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 6,759 |
AStream: Ad-hoc Shared Stream Processing |
2019 |
SIGMOD |
4.9352213e-05 |
| 1,990 |
Fault-Tolerance in the Borealis Distributed Stream Processing System |
2005 |
SIGMOD |
9.8472819e-05 |
| 9,926 |
Darwin: Scale-In Stream Processing |
2022 |
CIDR |
4.2543961e-05 |
| 4,488 |
Analyzing Efficient Stream Processing on Modern Hardware |
2019 |
VLDB |
6.145117e-05 |
| 2,338 |
Samza: Stateful Scalable Stream Processing at LinkedIn |
2017 |
VLDB |
9.00711e-05 |
| 4,822 |
Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka |
2021 |
SIGMOD |
5.8959131e-05 |
| 10,862 |
How Reliable Are Streams? End-to-End Processing-Guarantee Validation and Performance Benchmarking of Stream Processing Systems |
2025 |
VLDB |
4.1945683e-05 |
| 11,819 |
Toward High-Performance Distributed Stream Processing via Approximate Fault Tolerance |
2017 |
VLDB |
4.1945683e-05 |
| 1,226 |
Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management |
2013 |
SIGMOD |
0.00013180799 |
| 3,886 |
Fault-tolerant Stream Processing using a Distributed, Replicated File System |
2008 |
VLDB |
6.6661649e-05 |