Flere publikasjoner
- A Taxonomy for Cloud Storage Cost
- Container-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoring
- Semantic Cloud System for Scaling Data Science Solutions for Welding at Bosch
- Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case Les publikasjonen
- Towards Cloud Storage Tier Optimization with Rule-Based Classification Les publikasjonen
- A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery
- Towards Graph-based Cloud Cost Modelling and Optimisation
- Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines Les publikasjonen
- Dataclouddsl: Textual and Visual Presentation of Big Data Pipelines
- Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model Les publikasjonen
Annen formidling
- Framework for Big Data Pipelines using Container Technology
- Flexible Deployment of Big Data Pipelines on the Computing Continuum
- Big Data Pipelines on the Computing Continuum
- Big Data Pipelines on the Computing Continuum
- Big Data Pipelines in DataCloud
- Flexible Deployment of Big Data Pipelines on the Cloud/Edge/Fog Continuum
- Data Enrichment and Data Pipelines
- SIM-PIPE DryRunner: A tool for simulation/testing of container-based big data pipelines
- Towards Building a Smart Knowledge Base of CoVid-19 Spread Data
- Semantic Data Enrichment for Data Scientists: Tutorial website for the ESWC2019 tutorial on semantic data enrichment for data scientists.