Accelerating Distributed Repartition Joins on Skewed Datasets via Patch-Based Shuffling

In distributed workloads involving joins and aggregations, skewed attribute values often cause load balancing issues, leading to stragglers and increased execution times. Existing solutions often rely on cost-based models, require extensive parameter tuning, or necessitate modifications to distribut...

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Hlavní autoři:	Evdokia Kassela, Ioannis Konstantinou, Nectarios Koziris
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Load balancing repartition join shuffling subset-replicate
On-line přístup:	https://ieeexplore.ieee.org/document/10909129/
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