Peering through the Dark: An Owl's View of Inter-job Dependencies and Jobs' Impact in Shared Clusters
Summary: Owl analyzes cluster logs to extract and visualize inter-job dependencies in shared multi-tenant infrastructures. It introduces a novel job-valuation algorithm that quantifies a job's impact on dependents and downstream users. (summarized by gpt-5-nano on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 609 | Goods: Organizing Google's Datasets | 2016 | SIGMOD | 0.00019223217 |
| 1,278 | DataHub: Collaborative Data Science & Dataset Version Management at Scale | 2015 | CIDR | 0.00012851949 |
| 2,267 | Ground: A Data Context Service | 2017 | CIDR | 9.1554363e-05 |
| 7,838 | Dependency-Driven Analytics: a Compass for Uncharted Data Oceans | 2017 | CIDR | 4.6338262e-05 |
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