SLICES, a scientific instrument for the networking community

Fdida, Serge; Makris, Nikos; Korakis, Thanasis; Bruno, Raffaele; Passarella, Andrea; Andreou, Panayiotis C.; Belter, Bartosz; Crettaz, Cédric; Dabbous, Walid; Demchenko, Yuri; Knopp, Raymond

doi:10.1016/j.comcom.2022.07.019

Cited by 16 publications

(3 citation statements)

References 30 publications

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“…The Scientific Large-scale Infrastructure for Computing/ Communication Experimental Studies (SLICES) [8] is a distributed Digital Infrastructure designed to support large-scale experimental research focused on networking protocols, radio technologies, services, data collection, parallel and distributed computing and, in particular, cloud and edge-based computing architectures and services. This encompasses the full range of network, computing, and storage functions required for on-demand services across many verticals and addresses new complex research challenges, supporting disruptive science in IoT, networks and distributed systems.…”

Section: B Slices-ri To Support Digital Technologies Research and Exp...mentioning

confidence: 99%

“…The following are requirements for robust data management infrastructure (DMI) for experimental data that follows from best practices and use cases analysis in the SLICES-DS project [8,45]: RDM1. Distributed data storage and experimental data(set) repositories should support common data and metadata interoperability standards, in particular common data and metadata formats.…”

Section: B Infrastructure Components To Support the Experimental Data...mentioning

confidence: 99%

“…It should also be supported by a consistent data management infrastructure. This research is a part of the SLICES Research Infrastructure to support research on digital infrastructures [8]. We aim to achieve the following goals:…”

Section: Introductionmentioning

confidence: 99%

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Experimental Research Reproducibility and Experiment Workflow Management

Demchenko

Gallenmüller

Fdida³

et al. 2023

2023 15th International Conference on COMmunication Systems &Amp; NETworkS (COMSNETS)

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Research reproducibility is an important factor to support the full research life cycle; this is especially important for experimental research, where it is required to also reproduce the whole experiment environment and equipment setup. This paper presents the methodology and solution proposed in the SLICES Research Infrastructure to enable research reproducibility in modern digital technologies for complex and large scale experimentation. The paper provides a short overview of existing research and approaches for experimental research reproducibility, generally including git based experiments deployment and operation, Jupyter Notebook and Common Workflow Language (CWL) for workflow management. The paper describes the framework and approaches taken in the SLICES-RI that also address research environment provisioning on demand with the Platform Research Infrastructure as a Service (PRIaaS) and data management infrastructure to ensure data quality and support effective data sharing.

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Section: B Slices-ri To Support Digital Technologies Research and Exp...mentioning

confidence: 99%

Section: B Infrastructure Components To Support the Experimental Data...mentioning

confidence: 99%