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Adaptive HTAP through Elastic Resource Scheduling
Summary: Frames HTAP as a runtime scheduling problem over OLTP, OLAP, and RDE, enabling elastic resource sharing to meet freshness and throughput needs. An in-memory, non-intrusive design enables this at low overhead, yielding up to 50% OLAP speedups with modest OLTP impact.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h68b5262b7d6b5244
Venue
SIGMOD
Year
2020
Pagerank
6.641183e-05
Overall Rank
4,339 | 70.92%
DOI
10.1145/3318464.3389783
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{raza_sigmod20,
title = {{Adaptive HTAP through Elastic Resource Scheduling}},
author = {Raza, Aunn and Chrysogelos, Periklis and Anadiotis, Angelos Christos and Ailamaki, Anastasia},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389783},
url = {https://dl.acm.org/doi/10.1145/3318464.3389783},
year = {2020}
}
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Cited Paper
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Pagerank
19
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1995
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DB2 with BLU Acceleration: So Much More than Just a Column Store
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Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems
2015
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An Empirical Evaluation of In-Memory Multi-Version Concurrency Control
2017
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Automated Demand-driven Resource Scaling in Relational Database-as-a-Service
2016
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