Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications
Summary: Agile-Ant self-manages distributed in-memory clusters by identifying hot datasets and auto-scaling memory to cache them on-the-fly without app/data/resource priors or human tuning. Aims for cost-optimal caching under multi-tenancy; reduces execution cost 78.3% vs baseline and beats prior approaches. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Hani Al-Sayeh (Technical University of Ilmenau)
- 2. Muhammad Attahir Jibril (Technical University of Ilmenau)
- 3. Kai-Uwe Sattler (Technical University of Ilmenau)
BibTeX Citation
@article{alsayeh_vldb24,
title = {{Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications}},
author = {Al-Sayeh, Hani and Jibril, Muhammad Attahir and Sattler, Kai-Uwe},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3151--3164},
doi = {10.14778/3681954.3681990},
url = {https://doi.org/10.14778/3681954.3681990},
year = {2024}
}
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