317. Evaluating the Performance Impact of Data Sovereignty Features on Data Spaces
Invited abstract in session WC-38: Optimization in Online Environments, stream Data Science meets Optimization.
Wednesday, 12:30-14:00Room: Michael Sadler LG19
Authors (first author is the speaker)
| 1. | Stanisław Galij
|
| Faculty of Computing and Telecomunications, Poznan University of Technology | |
| 2. | Grzegorz Pawlak
|
| Institute of Computing Science, Poznan University of Technology | |
| 3. | Slawomir Grzyb
|
Abstract
This study examines the performance implications of implementing data sovereignty features within data spaces. The research focuses on two primary areas: the performance of the IDS Dataspace Connector in AWS, GCP, and Azure environments, and a comparative analysis of various IDS Connectors. The first part of the study involves deploying the Dataspace Connector, connecting it to the IDSA test environment, and conducting performance tests on virtual servers. The second part involves selecting open-source IDS Connectors (from the 38 implementations currently available), connecting them to the IDSA test environment, and designing comparative tests based on API analysis. These tests are executed across multiple cloud service providers and edge environments. The findings aim to provide insights into the performance trade-offs associated with data sovereignty features in data spaces.
Keywords
- Web-based Information Systems
- Computer Science/Applications
- Software
Status: accepted
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