Deep Reinforcement Learning (DRL)-Based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions
Streaming applications are becoming widespread across an extensive range of business
domains as an increasing number of sources continuously produce data that need to be …
domains as an increasing number of sources continuously produce data that need to be …
Welche Einflussfaktoren eignen sich für die Typisierung von Radfahrer* innen mittels GPS-Daten? Ein Ansatz zur Kalibrierung von Self-Selected-Samples
DIS Lißner - 2022 - publish.fid-move.qucosa.de
Abstract (DE) Für eine zielgerichtete Radverkehrsplanung sind Analysedaten notwendig,
die aber in vielen Kommunen kaum verfügbar sind. GPS-Daten von Radfahrer* innen …
die aber in vielen Kommunen kaum verfügbar sind. GPS-Daten von Radfahrer* innen …
[PDF][PDF] Performance Analysis of Continuous Binary Data Processing using Distributed Databases within Stream Processing Environments.
M Weißbach, H Hilbert, T Springer - CLOSER, 2020 - pdfs.semanticscholar.org
Big data applications must process increasingly large amounts of data within ever shorter
time. Often a stream processing engine (SPE) is used to process incoming data with minimal …
time. Often a stream processing engine (SPE) is used to process incoming data with minimal …