5 papers
S-RASTER: Contraction Clustering for Evolving Data Streams
Gregor Ulm, Simon Smith, Adrian Nilsson +2
Contraction Clustering (RASTER) is a single-pass algorithm for density-based clustering of 2D data. It can process arbitrary amounts of data in linear time and in constant memory,…
Active-Code Replacement in the OODIDA Data Analytics Platform
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
OODIDA (On-board/Off-board Distributed Data Analytics) is a platform for distributing and executing concurrent data analytics tasks. It targets fleets of reference vehicles in the…
Facilitating Rapid Prototyping in the OODIDA Data Analytics Platform via Active-Code Replacement
Gregor Ulm, Simon Smith, Adrian Nilsson +2
OODIDA (On-board/Off-board Distributed Data Analytics) is a platform for distributed real-time analytics, targeting fleets of reference vehicles in the automotive industry. Its use…
OODIDA: On-board/Off-board Distributed Real-Time Data Analytics for Connected Vehicles
Gregor Ulm, Simon Smith, Adrian Nilsson +2
A fleet of connected vehicles easily produces many gigabytes of data per hour, making centralized (off-board) data processing impractical. In addition, there is the issue of distri…
Functional Federated Learning in Erlang (ffl-erl)
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
The functional programming language Erlang is well-suited for concurrent and distributed applications. Numerical computing, however, is not seen as one of its strengths. The recent…