DeepAI AI Chat
Log In Sign Up

Macaw: The Machine Learning Magnetometer Calibration Workflow

by   Jonathan Bader, et al.
Berlin Institute of Technology (Technische Universität Berlin)

In Earth Systems Science, many complex data pipelines combine different data sources and apply data filtering and analysis steps. Typically, such data analysis processes are historically grown and implemented with many sequentially executed scripts. Scientific workflow management systems (SWMS) allow scientists to use their existing scripts and provide support for parallelization, reusability, monitoring, or failure handling. However, many scientists still rely on their sequentially called scripts and do not profit from the out-of-the-box advantages a SWMS can provide. In this work, we transform the data analysis processes of a Machine Learning-based approach to calibrate the platform magnetometers of non-dedicated satellites utilizing neural networks into a workflow called Macaw (MAgnetometer CAlibration Workflow). We provide details on the workflow and the steps needed to port these scripts to a scientific workflow. Our experimental evaluation compares the original sequential script executions on the original HPC cluster with our workflow implementation on a commodity cluster. Our results show that through porting, our implementation decreased the allocated CPU hours by 50.2 resource wastage. Further, through parallelizing single tasks, we reduced the runtime by 17.5


page 1

page 5


Portability of Scientific Workflows in NGS Data Analysis: A Case Study

The analysis of next-generation sequencing (NGS) data requires complex c...

Distributed In-memory Data Management for Workflow Executions

Complex scientific experiments from various domains are typically modele...

Towards Advanced Monitoring for Scientific Workflows

Scientific workflows consist of thousands of highly parallelized tasks e...

Accelerating Scientific Data Exploration via Visual Query Systems

The increasing availability of rich and complex data in a variety of sci...

PIXLISE-C: Exploring The Data Analysis Needs of NASA Scientists for Mineral Identification

NASA JPL scientists working on the micro x-ray fluorescence (microXRF) s...

or2yw: Modeling and Visualizing OpenRefineHistories as YesWorkflow Diagrams

OpenRefine is a popular open-source data cleaning tool. It allows users ...

Towards a Unified User Interface for Visual Analysis of Retinal Data in Ophthalmology

The visual analysis of retinal data contributes to the understanding of ...