Database Paper Browser

Back to papers

Releasing Cloud Databases from the Chains of Performance Prediction Models

Summary: Move from brittle query-latency predictors to ML that directly models monetary cost of provisioning and executing query workloads. Design an RL-based IaaS service that learns low-cost VM provisioning and query-dispatch policies for dynamic clouds; PoC validates feasibility. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
311
Venue
CIDR
Year
2017
Pagerank
5.7984657e-05
Overall Rank
4,961 | 65.49%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers