A data-flow oriented software architecture for heterogeneous marine data streams: Appendix

This companion package contains appendix content for the publication: A data-flow oriented software architecture for heterogeneous marine data streams submitted and accepted to the 21st IEEE International Conference on Software Architecture (ICSA 2024).  The artifact contains a compilation of evidence and data used to achieve the resulting architectural decisions presented in the paper. The software behind the prototype implementation of the associated architecture is unavailable due to IPR issues and the impracticality of sharing the end-to-end code associated with systems spread across different organizations. Nevertheless, some screenshots of the execution of the overall system are depicted in the figures provided:

1. Prometheus Expression Browser of metrics collected during the platform's operation. The monitoring system early implementation details is described in 10.1109/MODELS58315.2023.00016, which is a related work that preceeded this one.
   
   
2. Screenshot of a ThingSpeak channel that receives simulated data from the platform.

In this package, we provide challenges and architectural decisions logbook resulting from the ongoing research process alongside the draft used to design and represent the system during that period.

Furthermore, screenshots of the test stream visualization within the platform and the monitoring subsystem metrics preview are provided. All the allowed public information regarding the platform's technical details and components is available at https://smartoceanplatform.github.io/ and on GitHub at https://github.com/smartoceanplatform. The link to the visualization of the test stream of the platform is available at: https://thingspeak.com/channels/2129424. The resulting processing of data from a simulated node is publicly available under the referred link.

Lastly, this package is part of a series of data publicly available in the course of numerous empirical studies conducted in and within the SFI Smart Ocean consortium (https://sfismartocean.no/). Related results and datasets are listed below.