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Thoth in Action: Memory Management in Modern Data Analytics

Summary: Thoth in Action studies memory management in modern data analytics using a data-driven, multi-system platform. It shows cross-layer dynamics from resource managers (Mesos/Yarn) and containers to JVM pools (heap/off-heap, Young/Old gen) and framework caches, enabling multi-tenant memory management with Thoth. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11485
Venue
VLDB
Year
2017
Pagerank
4.278405e-05
Overall Rank
9,809 | 31.77%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,902 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010157713
3,473 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.062864e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
7,689 ROBUS: Fair Cache Allocation for Data-parallel Workloads 2017 SIGMOD 4.6765769e-05
12,001 Thoth: Towards Managing a Multi-System Cluster 2014 VLDB 4.1945683e-05
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