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A Model for Query Execution Over Heterogeneous Instances

Summary: Advocates per-query planner optimization for cost-efficient cluster sizing in serverless/public-cloud settings, challenging prior homogeneous-instance assumptions. Proposes a framework and analytical model showing how heterogeneous clusters speed up pipelined joins, with preliminary experimental support. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
507
Venue
CIDR
Year
2024
Pagerank
5.3512451e-05
Overall Rank
8,887 | 39.03%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_cidr24,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '24},
        title = {{A Model for Query Execution Over Heterogeneous Instances}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Wang, Ziheng and Adamiak, Emanuel and Aiken, Alex},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,123 Cloudspecs: Cloud Hardware Evolution Through the Looking Glass 2026 CIDR 5.093636e-05
11,076 CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

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