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Author

Markos Markakis

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Jul 2026

AutoSLO: Practical Latency SLOs on Cloud Data Warehouses - Extended Version

AutoSLO is presented, a latency-SLO-aware workload management framework for multi-cluster cloud data warehouses that successfully meets latency SLOs of varying strictness, reducing cost by a mean of 26.4% compared to the per-scenario next-best baseline.

Markos Markakis, T. Kraska · 0 citations

Towards Practical Latency SLOs on Cloud Data Warehouses

This work outlines AutoSLO, a latency-SLO-aware work-load management framework for multi-cluster cloud data ware-houses that includes a periodic Policy Tuner that proactively plans resources using workload fore-casts, an SLO-aware reactive Autoscaler that adjusts the active cluster set based on the observed workload, a...

Markos Markakis, T. Kraska · 0 citations

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