Raising the Level of Abstraction for Time-State Analytics With the Timeline Framework
Summary: Proposes a Timeline abstraction to express context-sensitive, stateful time-state analytics (e.g., total buffering time) as a first-class primitive, reducing development complexity. Demonstrates improved cost-performance and feasibility in a production-scale video analytics deployment. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Henry Milner (Conviva, Inc)
- 2. Yihua Cheng (Conviva, Inc; University of Chicago)
- 3. Jibin Zhan (Conviva, Inc)
- 4. Hui Zhang (Carnegie Mellon University; Conviva, Inc)
- 5. Vyas Sekar (Carnegie Mellon University; Conviva, Inc)
- 6. Junchen Jiang (Conviva, Inc; University of Chicago)
- 7. Ion Stoica (Conviva, Inc; University of California Berkeley)
BibTeX Citation
@inproceedings{milner_cidr23,
address = {Amsterdam, Netherlands},
series = {{CIDR} '23},
title = {{Raising the Level of Abstraction for Time-State Analytics With the Timeline Framework}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Milner, Henry and Cheng, Yihua and Zhan, Jibin and Zhang, Hui and Sekar, Vyas and Jiang, Junchen and Stoica, Ion},
year = {2023}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 23 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00055523999 |
| 147 | Gorilla: A Fast, Scalable, In-Memory Time Series Database | 2015 | VLDB | 0.00028941363 |
| 328 | The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing | 2015 | VLDB | 0.00020889528 |
| 762 | Cayuga: A General Purpose Event Monitoring System | 2007 | CIDR | 0.00014179183 |
| 1,762 | Towards a Streaming SQL Standard | 2008 | VLDB | 9.6949462e-05 |
| 2,375 | SASE: Complex Event Processing over Streams | 2007 | CIDR | 8.5351561e-05 |
| 3,603 | The Case for a Signal-Oriented Data Stream Management System | 2007 | CIDR | 7.1553424e-05 |
| 6,809 | Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile | 2021 | VLDB | 5.660585e-05 |
| 9,286 | Enabling Signal Processing over Data Streams | 2017 | SIGMOD | 5.1860131e-05 |
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