Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Workload Partitioning for Window Aggregates
This lecture discusses workload partitioning strategies for efficient sharing of window aggregates in data-intensive applications and systems. It covers topics such as ad-hoc analytics on streams, sharing for window aggregation, and the dynamic partitioner. The instructor explains the optimization considerations, group-filters cost, and data characteristics affecting partitioning. The lecture also explores the system architecture, aggregate throughput evaluation, and conclusions on work-sharing and workload partitioning approaches.
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