The Case for Precision Sharing
Summary: Introduces precision sharing, combining aggressive common-work reuse with tuple-lineage tracking to avoid redundant computation in static dataflows. Extends the idea to adaptive systems via static ordering constraints and validates it experimentally. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sailesh Krishnamurthy (University of California Berkeley)
- 2. Michael J. Franklin (University of California Berkeley)
- 3. Garrett Jacobson (University of California Berkeley)
- 4. Joseph M. Hellerstein (Intel; University of California Berkeley)
BibTeX Citation
@article{krishnamurthy_vldb04,
title = {{The Case for Precision Sharing}},
author = {Krishnamurthy, Sailesh and Franklin, Michael J. and Jacobson, Garrett and Hellerstein, Joseph M.},
journal = {PVLDB},
series = {{VLDB} '04},
pages = {972--983},
doi = {10.1016/B978-012088469-8.50085-1},
url = {https://doi.org/10.1016/B978-012088469-8.50085-1},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 696 | Main-Memory Scan Sharing For Multi-Core CPUs | 2008 | VLDB | 0.00014891322 |
| 1,354 | On-the-Fly Sharing for Streamed Aggregation | 2006 | SIGMOD | 0.00011057534 |
| 3,352 | Scalable Pattern Sharing on Event Streams | 2016 | SIGMOD | 7.4932699e-05 |
| 5,701 | Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries | 2023 | SIGMOD | 6.1167049e-05 |
| 6,528 | State-Slice: New Paradigm of Multi-query Optimization of Window-based Stream Queries | 2006 | VLDB | 5.8502273e-05 |
| 7,213 | Scalable Multi-Query Execution using Reinforcement Learning | 2021 | SIGMOD | 5.670422e-05 |
| 7,695 | A Shared Execution Strategy for Multiple Pattern Mining Requests over Streaming Data | 2009 | VLDB | 5.5661355e-05 |
| 8,893 | Optimizing Disjunctive Queries with Tagged Execution | 2024 | SIGMOD | 5.3504579e-05 |
| 11,113 | Oligolithic Cross-task Optimizations across Isolated Workloads* | 2024 | CIDR | 5.093636e-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 |
|---|---|---|---|---|
| 25 | NiagaraCQ: A Scalable Continuous Query System for Internet Databases | 2000 | SIGMOD | 0.00054667018 |
| 53 | Eddies: Continuously Adaptive Query Processing | 2000 | SIGMOD | 0.00041071971 |
| 111 | TelegraphCQ: Continuous Dataflow Processing for an Uncertain World | 2003 | CIDR | 0.00032990214 |
| 150 | Query Processing, Resource Management, and Approximation in a Data Stream Management System | 2003 | CIDR | 0.00029208207 |
| 167 | Monitoring Streams – A New Class of Data Management Applications | 2002 | VLDB | 0.0002757283 |
| 193 | Continuously Adaptive Continuous Queries over Streams | 2002 | SIGMOD | 0.00025964286 |
| 474 | Dynamic Query Evaluation Plans | 1989 | SIGMOD | 0.00017894953 |
| 822 | Pipelining in Multi-Query Optimization | 2001 | PODS | 0.00013807229 |
| 832 | Streaming Queries over Streaming Data | 2002 | VLDB | 0.00013736125 |
| 2,513 | Tuple Routing Strategies for Distributed Eddies | 2003 | VLDB | 8.48462e-05 |
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|---|---|---|---|---|
| 1 | 2,276 | Shared Workload Optimization | 2014 | VLDB |
| 2 | 7,579 | Resource-efficient Shared Query Execution via Exploiting Time Slackness | 2021 | SIGMOD |
| 3 | 6,410 | A Holistic View of Stream Partitioning Costs | 2017 | VLDB |
| 4 | 1,263 | Resource Sharing in Continuous Sliding-Window Aggregates | 2004 | VLDB |
| 5 | 1,397 | Approximate Join Processing Over Data Streams | 2003 | SIGMOD |
| 6 | 4,508 | To Share or Not to Share? | 2007 | VLDB |
| 7 | 722 | Adaptive Filters for Continuous Queries over Distributed Data Streams | 2003 | SIGMOD |
| 8 | 2,892 | Scalable and Adaptive Online Joins | 2014 | VLDB |
| 9 | 1,354 | On-the-Fly Sharing for Streamed Aggregation | 2006 | SIGMOD |
| 10 | 4,534 | Shared Arrangements: practical inter-query sharing for streaming dataflows | 2020 | VLDB |