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Storm @Twitter
Summary: Describes Storm, a real-time, fault-tolerant distributed stream processing system deployed at Twitter at scale. Covers architecture, topology execution, scale-out, and fault tolerance, with empirical resilience data and production-time lessons.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 4858
- Venue
- SIGMOD
- Year
- 2014
- Pagerank
- 0.00028939871
- Overall Rank
- 288 | 98.00%
- DOI
-
10.1145/2588555.2595641
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 23 of 73 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 9,953 |
Distributed Stream KNN Join |
2021 |
SIGMOD |
4.2405999e-05 |
| 10,043 |
Accelerating Stream Processing Engines via Hardware Offloading |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,410 |
Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Services in Tencent |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,417 |
Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables |
2025 |
SIGMOD |
4.1945683e-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 |
| 10,962 |
Fault Tolerance Placement in the Internet of Things |
2024 |
SIGMOD |
4.1945683e-05 |
| 11,154 |
Templating Shuffles |
2023 |
CIDR |
4.1945683e-05 |
| 11,194 |
A Step Toward Deep Online Aggregation |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,435 |
Synchronization Schemas |
2021 |
PODS |
4.1945683e-05 |
| 11,468 |
Klink: Progress-Aware Scheduling for Streaming Data Systems |
2021 |
SIGMOD |
4.1945683e-05 |
| 11,603 |
Demand-based Sensor Data Gathering with Multi-Query Optimization |
2020 |
VLDB |
4.1945683e-05 |
| 11,625 |
InvaliDB: Scalable Push-Based Real-Time Queries on Top of Pull-Based Databases (Extended) |
2020 |
VLDB |
4.1945683e-05 |
| 11,673 |
Online Template Induction for Machine-Generated Emails |
2019 |
VLDB |
4.1945683e-05 |
| 11,709 |
Robust, Scalable, Real-Time Event Time Series Aggregation at Twitter |
2018 |
SIGMOD |
4.1945683e-05 |
| 11,728 |
Challenges and Experiences in Building an Efficient Apache Beam Runner For IBM Streams |
2018 |
VLDB |
4.1945683e-05 |
| 11,774 |
Query Processing Techniques for Big Spatial-Keyword Data |
2017 |
SIGMOD |
4.1945683e-05 |
| 11,797 |
Runtime Optimization of Join Location in Parallel Data Management Systems |
2017 |
VLDB |
4.1945683e-05 |
| 11,802 |
Query-able Kafka: An agile data analytics pipeline for mobile wireless networks |
2017 |
VLDB |
4.1945683e-05 |
| 11,846 |
Real-time Video Recommendation Exploration |
2016 |
SIGMOD |
4.1945683e-05 |
| 11,849 |
The Challenges of Global-scale Data Management |
2016 |
SIGMOD |
4.1945683e-05 |
| 11,859 |
dmapply: A functional primitive to express distributed machine learning algorithms in R |
2016 |
VLDB |
4.1945683e-05 |
| 11,909 |
CE-Storm: Confidential Elastic Processing of Data Streams |
2015 |
SIGMOD |
4.1945683e-05 |
| 11,928 |
CANDS: Continuous Optimal Navigation via Distributed Stream Processing |
2015 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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