Lecture

Scalable Multi-query Execution: Reinforcement Learning Approach

Description

This lecture discusses a novel approach to scalable multi-query execution using reinforcement learning, focusing on incremental exploration, global plan space, and policy prediction for optimal decisions. It covers topics such as exploited sharing opportunities, throughput improvement, and the impact of concurrent query processing. The speaker emphasizes the importance of accurate estimates and effective sharing mechanisms in database management systems.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Official source

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.