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Saving Money for Analytical Workloads in the Cloud

Summary: Exploit differences in cloud billing (compute-time vs bytes-scanned) by classifying analytical queries as compute- or IO-bound and selecting execution modalities that minimize monetary cost while meeting user runtime constraints. Implement cost-aware plan generation that mixes pricing models (and clouds), yielding up to 56% workload and 90% per-query savings and robust gains across vendor price variations. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
hfda531a8750635a6
Venue
VLDB
Year
2024
Pagerank
5.0651993e-05
Overall Rank
10,187 | 31.51%
DOI
10.14778/3681954.3682018

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{srivastava_vldb24,
        title = {{Saving Money for Analytical Workloads in the Cloud}},
        author = {Srivastava, Tapan and Fernandez, Raul Castro},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {11},
        pages = {3524--3537},
        doi = {10.14778/3681954.3682018},
        url = {https://doi.org/10.14778/3681954.3682018},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,433 CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics 2025 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061066921
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055406774
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041219077
57 On Random Sampling over Joins 1999 SIGMOD 0.00040108301
379 Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources 2018 SIGMOD 0.00019514689
406 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019045544
416 Semantic Data Caching and Replacement 1996 VLDB 0.00018658244
479 The Making of TPC-DS 2006 VLDB 0.00017622471
680 Amazon Redshift Re-invented 2022 SIGMOD 0.00014828697
949 DynaMat: A Dynamic View Management System for Data Warehouses 1999 SIGMOD 0.00012902181
1,686 Garlic: A New Flavor of Federated Query Processing for DB2 2002 SIGMOD 9.8709217e-05
1,790 POLARIS: The Distributed SQL Engine in Azure Synapse 2020 VLDB 9.6272006e-05
2,213 Towards Cost-Optimal Query Processing in the Cloud 2021 VLDB 8.8206114e-05
2,966 Choosing A Cloud DBMS: Architectures and Tradeoffs 2019 VLDB 7.8039817e-05
3,055 The LDBC Social Network Benchmark: Business Intelligence Workload 2023 VLDB 7.6979859e-05
3,392 A Formal Perspective on the View Selection Problem 2001 VLDB 7.3483076e-05
5,446 Crystal: A Unified Cache Storage System for Analytical Databases 2021 VLDB 6.1266228e-05
5,777 POP/FED: Progressive Query Optimization for Federated Queries in DB2 2006 VLDB 5.9981204e-05
6,221 Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing 2021 SIGMOD 5.8463347e-05
9,020 Optimizing the cloud? Don't train models. Build oracles! 2024 CIDR 5.2355482e-05
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