Efficient Scheduling of Heterogeneous Continuous Queries
Summary: Derives DSMS scheduling policies for heterogeneous continuous queries, showing average response time and slowdown induce different optima. Proposes an efficiently implementable hybrid slowdown scheduler balancing QoS and fairness, extensible to shared multi-query plans and multi-stream CQs. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mohamed A. Sharaf (University of Pittsburgh)
- 2. Panos K. Chrysanthis (University of Pittsburgh)
- 3. Alexandros Labrinidis (University of Pittsburgh)
- 4. Kirk Pruhs (University of Pittsburgh)
BibTeX Citation
@article{sharaf_vldb06,
title = {{Efficient Scheduling of Heterogeneous Continuous Queries}},
author = {Sharaf, Mohamed A. and Chrysanthis, Panos K. and Labrinidis, Alexandros and Pruhs, Kirk},
journal = {PVLDB},
series = {{VLDB} '06},
pages = {511--522},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,368 | Enjima: A Resource-Adaptive Stream Processing System | 2026 | SIGMOD | 5.093636e-05 |
| 11,665 | Klink: Progress-Aware Scheduling for Streaming Data Systems | 2021 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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