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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
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}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 24 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00054865648 |
| 148 | Gorilla: A Fast, Scalable, In-Memory Time Series Database | 2015 | VLDB | 0.00029250767 |
| 361 | The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing | 2015 | VLDB | 0.00020138717 |
| 732 | Cayuga: A General Purpose Event Monitoring System | 2007 | CIDR | 0.00014536846 |
| 1,718 | Towards a Streaming SQL Standard | 2008 | VLDB | 9.9297933e-05 |
| 2,314 | SASE: Complex Event Processing over Streams | 2007 | CIDR | 8.7619735e-05 |
| 3,525 | The Case for a Signal-Oriented Data Stream Management System | 2007 | CIDR | 7.3436533e-05 |
| 7,294 | Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile | 2021 | VLDB | 5.6532162e-05 |
| 9,077 | Enabling Signal Processing over Data Streams | 2017 | SIGMOD | 5.3251649e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,082 | Analytics in Motion: High Performance Event-Processing AND Real-Time Analytics in the Same Database | 2015 | SIGMOD |
| 2 | 3,965 | In-Memory Data Management for Consumer Transactions: The TimesTen Approach | 1999 | SIGMOD |
| 3 | 2,796 | Temporal Data Management | 1986 | VLDB |
| 4 | 1,945 | Continuous Analytics Over Discontinuous Streams | 2010 | SIGMOD |
| 5 | 424 | Flexible Time Management in Data Stream Systems | 2004 | PODS |
| 6 | 899 | Consistent Streaming Through Time: A Vision for Event Stream Processing | 2007 | CIDR |
| 7 | 2,568 | Timeline Index: A Unified Data Structure for Processing Queries on Temporal Data in SAP HANA | 2013 | SIGMOD |
| 8 | 8,610 | Distributed Time-aware Provenance | 2013 | VLDB |
| 9 | 5,776 | Recognizing Patterns in Streams with Imprecise Timestamps | 2010 | VLDB |
| 10 | 13,028 | Data Modeling of Time-Based Media | 1994 | SIGMOD |