Metadata

URI https://glaciation-project.eu/MetadataReferenceModel
Namespace https://glaciation-project.eu/MetadataReferenceModel#
Description The GLACIATION platform develops a novel Distributed Knowledge Graph (DKG) that stretches across the edge-core-cloud architecture to reduce energy consumption, improving data processing and optimizing data movement operations. Towards this aim, the platform needs to consume the data and metadata that are fed into the DKG. The metadata can affect and inform the decision-making processes in the GLACIATION architecture and introduces the GLACIATION Metadata Reference Model that will be used for modelling the metadata in the DKG. The GLACIATION Reference Metadata Model makes data ingestion and processing interoperable inside the GLACIATION platform. Linked Data allows for a high level of flexibility and to tackle the variety and merging issues that emerge in heterogenous environments, especially due to the wide range of sensors and other data sources that the platform may integrate. The GLACIATION Reference Metadata Model is tailored to fit the specific purposes of the GLACIATION platform, while the GLACIATION use cases define the scope of the model for better interoperability. There are common metadata challenges for all use cases. This stems from the use of the Kubernetes orchestration system as a basis for the GLACIATION platform. In addition, common to the platform is the ingestion of data from other sources into the DKG that can then be used to affect processing decisions. There are direct data flows from sensors within the system, but also data and metadata from sources external to the system. This allows the system to react e.g. to environmental situations like weather or temperature, but also to requirements concerning security or privacy. Exemplary uses and specializations of the reference model to the GLACIATION use cases are also provided. The GLACIATION Metadata Reference Model can be used for scheduling and performing tasks. The model can be considered as a general conceptualization of a tasks scheduling problem that considers various measuring indicators over the deployed resources. It captures the assignment of time-constrained tasks to time constrained and energy consuming resources, that can satisfy various hard and soft constraints, even compositions of such constraints. The tasks can be monitored through various measuring resources using a variety of single or aggregated, predicted or real measurements. The model is generic, by being both domain and application independent, describing the scheduling tasks, without providing specific solutions on how they can be solved. It can be easily adjusted to each of the current three GLACIATION use cases, covering also the Kubernetes orchestration and its Telemetry System deployed by the project. The proposed model makes it feasible to answer the competency queries defined by each of the Glaciation's use case. @en
Language
English
en
Creator
Michalis Mountantonakis
http://users.ics.forth.gr/~mountant/
Panagiotis Papadakos
https://orcid.org/0000-0001-8926-4229
Rigo Wenning
https://orcid.org/0000-0001-7408-0611
Contributor
Konstantin Tatarnikov
https://www.linkedin.com/in/kostyantyn-tatarnikov/
Guangyuan Piao
https://orcid.org/0000-0003-0516-2802
Alessio Chellini
https://www.linkedin.com/in/alessio-chellini-abb9787/
Paolo Tartara
https://www.linkedin.com/in/paolotartara/
Péter Forgács
https://orcid.org/0000-0001-6031-6291
Jonas Böhler
https://orcid.org/0009-0005-3194-7162
Publisher
The GLACIATION Project - Coordinator Ministerio de la economia et delle Finance of Italy
https://glaciation-project.eu
Comment
(2025-11-05) María Poveda-Villalón: Added to LOV

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