Trident: Task Scheduling over Tiered Storage Systems in Big Data Platforms
Summary: Trident enables tier-aware task scheduling that jointly uses data locality and storage media in tiered data platforms. Framed as min-cost max matching with pruning that preserves optimality; Spark/Hadoop implementation yields gains on real workloads. (summarized by gpt-5-nano on Feb 09 2026)
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 |
|---|---|---|---|---|
| 5,373 | Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing | 2022 | VLDB | 5.5410059e-05 |
| 8,585 | A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning | 2024 | VLDB | 4.4856045e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 981 | Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads | 2012 | VLDB | 0.00014866268 |
| 4,862 | OctopusFS: A Distributed File System with Tiered Storage Management | 2017 | SIGMOD | 5.8659921e-05 |
| 6,108 | Automating Distributed Tiered Storage Management in Cluster Computing | 2020 | VLDB | 5.2030492e-05 |
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