Carnot is an interactive execution engine for AI-driven analytics that compiles natural language requests into physical execution graphs and surfaces them through an interactive notebook interface, and Carnot's query optimizer will optimize the query with respect to cost or latency constraints provided by the user.
Matthew Russo, Yash Agarwal, Tianyu Li et al.· Proceedings of the VLDB Endo...· 0 citations
It is argued that the next generation of systems for semantic query optimization must move from optimized execution of fixed semantic plans toward cost-aware execution of agentic analytics workflows.
Gerardo Vitagliano, Matthew Russo, Michael J. Cafarella et al.· 0 citations
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· arXiv.org· 0 citations
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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