Our paper “Active-Code Replacement in the OODIDA Data Analytics Platform” has been accepted to the poster session at Euro-Par 2019, which will take place from August 26 to 30 in Goettingen, Germany. The abstract is reproduced below. A preprint of the paper the poster is based on is available on arXiv, where you also find a preprint of the paper on OODIDA.
Title: Active-Code Replacement in the \OODIDA Data Analytics Platform Authors: 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 automotive industry and has a particular focus on rapid prototyping. Its underlying message-passing infrastructure has been implemented in Erlang/OTP. External Python applications perform data analytics tasks. Most work is performed by clients (on-board). A central server performs supplementary tasks (off-board). OODIDA can be automatically packaged and deployed, which necessitates restarting parts of the system, or all of it. This is potentially disruptive. To address this issue, we added the ability to execute user- defined Python modules on clients as well as the server. These modules can be replaced without restarting any part of the system and they can even be replaced between iterations of an ongoing assignment. This facilitates use cases such as iterative A/B testing of machine learning algorithms or deploying experimental algorithms on-the-fly.