Shared Workload Optimization
Summary: Introduces shared workload optimization (SWO), deriving a global execution plan across queries rather than optimizing them independently. A heuristic stochastic-knapsack formulation jointly optimizes shared scans and hash joins, yielding gains on TPC-W/TPC-H. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Georgios Giannikis (ETH Zurich)
- 2. Darko Makreshanski (ETH Zurich)
- 3. Gustavo Alonso (ETH Zurich)
- 4. Donald Kossmann (ETH Zurich)
BibTeX Citation
@article{giannikis_vldb14,
title = {{Shared Workload Optimization}},
author = {Giannikis, Georgios and Makreshanski, Darko and Alonso, Gustavo and Kossmann, Donald},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {6},
pages = {429--440},
doi = {10.14778/2732279.2732280},
url = {https://doi.org/10.14778/2732279.2732280},
year = {2014}
}
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| 7 | 4,668 | Performance Analysis of a Load Balancing Hash-Join Algorithm for a Shared Memory Multiprocessor | 1991 | VLDB |
| 8 | 9,718 | Sharing Aggregate Computation for Distributed Queries | 2007 | SIGMOD |
| 9 | 9,446 | Parallelizing Query Optimization on Shared-Nothing Architectures | 2016 | VLDB |
| 10 | 7,637 | Workload Optimization using SharedDB | 2013 | SIGMOD |