Extending Federated Data Platforms in the Cloud Continuum for Manufacturing and Intralogistics

Krista Mätäsniemi; Teemu Toroi; David Hästbacka

doi:10.5220/0013732100004000

Extending Federated Data Platforms in the Cloud Continuum for Manufacturing and Intralogistics

Krista Mätäsniemi
, Teemu Toroi
, David Hästbacka

Tampere University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Downloads (Pure)

Abstract

Federated data platforms (FDPs), or data spaces, are frameworks that facilitate data sharing between diverse data sources and stakeholders. FDPs are critical enablers in the 2020 European Data Strategy where industrial data is a strategic investment area. Industrial use cases can involve high data volumes and velocity despite operating in resource-constrained environments. FDPs have been proven in inter-company data exchanges and are typically implemented on scalable cloud platforms. This study explores the possibility of extending FDPs in the cloud continuum (CC) by examining how the technical requirements of FDP building blocks align with the drivers, characteristics, and enablers of CC layers. The study introduces an analysis framework for finding the optimal placement of building blocks along CC. It also shows that transferring FDP components connected to high data volumes closer to the edge can make FDPs more effective and better suited for manufacturing and intralogistics use cases. The study concludes that there is an architectural fit between FDP functionalities and the characteristics of the CC, and suggests that FDP usability and performance should be studied empirically.

Original language	English
Title of host publication	Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS
Editors	Frans Coenen, Lars Nolle, David Aveiro, Jesualdo Fernandez-Breis, Elio Masciari, Le Gruenwald, Jorge Bernardino, Ricardo Torres
Publisher	SciTePress
Pages	417-427
Number of pages	11
ISBN (Electronic)	978-989-758-769-6
DOIs	https://doi.org/10.5220/0013732100004000
Publication status	Published - 2025
MoE publication type	A4 Conference publication
Event	International Conference on Knowledge Discovery and Information Retrieval - Marbella, Spain Duration: 22 Oct 2025 → 24 Oct 2025 Conference number: 17

Publication series

Name	International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Publisher	SciTePress
Volume	2
ISSN (Electronic)	2184-3228

Conference

Conference	International Conference on Knowledge Discovery and Information Retrieval
Abbreviated title	KDIR
Country/Territory	Spain
City	Marbella
Period	22/10/2025 → 24/10/2025

Funding

This research has been funded by Business Finland research project Twinflow.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Cloud Continuum
Data Spaces
Edge Deployment
Federated Data Platforms
On-premise
Service Placement

Access to Document

10.5220/0013732100004000Licence: CC BY-NC-ND

Extending_Federated_Data_Platforms_in_the_Cloud_Continuum_for_Manufacturing_and_IntralogisticsFinal published version, 316 KBLicence: CC BY-NC-ND

Cite this

Mätäsniemi, K., Toroi, T., & Hästbacka, D. (2025). Extending Federated Data Platforms in the Cloud Continuum for Manufacturing and Intralogistics. In F. Coenen, L. Nolle, D. Aveiro, J. Fernandez-Breis, E. Masciari, L. Gruenwald, J. Bernardino, & R. Torres (Eds.), Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS (pp. 417-427). (International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management; Vol. 2). SciTePress. https://doi.org/10.5220/0013732100004000

Mätäsniemi, Krista ; Toroi, Teemu ; Hästbacka, David. / Extending Federated Data Platforms in the Cloud Continuum for Manufacturing and Intralogistics. Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS. editor / Frans Coenen ; Lars Nolle ; David Aveiro ; Jesualdo Fernandez-Breis ; Elio Masciari ; Le Gruenwald ; Jorge Bernardino ; Ricardo Torres. SciTePress, 2025. pp. 417-427 (International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management).

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title = "Extending Federated Data Platforms in the Cloud Continuum for Manufacturing and Intralogistics",

abstract = "Federated data platforms (FDPs), or data spaces, are frameworks that facilitate data sharing between diverse data sources and stakeholders. FDPs are critical enablers in the 2020 European Data Strategy where industrial data is a strategic investment area. Industrial use cases can involve high data volumes and velocity despite operating in resource-constrained environments. FDPs have been proven in inter-company data exchanges and are typically implemented on scalable cloud platforms. This study explores the possibility of extending FDPs in the cloud continuum (CC) by examining how the technical requirements of FDP building blocks align with the drivers, characteristics, and enablers of CC layers. The study introduces an analysis framework for finding the optimal placement of building blocks along CC. It also shows that transferring FDP components connected to high data volumes closer to the edge can make FDPs more effective and better suited for manufacturing and intralogistics use cases. The study concludes that there is an architectural fit between FDP functionalities and the characteristics of the CC, and suggests that FDP usability and performance should be studied empirically.",

keywords = "Cloud Continuum, Data Spaces, Edge Deployment, Federated Data Platforms, On-premise, Service Placement",

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doi = "10.5220/0013732100004000",

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series = "International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management",

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editor = "Frans Coenen and Lars Nolle and David Aveiro and Jesualdo Fernandez-Breis and Elio Masciari and Le Gruenwald and Jorge Bernardino and Ricardo Torres",

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Mätäsniemi, K, Toroi, T & Hästbacka, D 2025, Extending Federated Data Platforms in the Cloud Continuum for Manufacturing and Intralogistics. in F Coenen, L Nolle, D Aveiro, J Fernandez-Breis, E Masciari, L Gruenwald, J Bernardino & R Torres (eds), Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS. International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, vol. 2, SciTePress, pp. 417-427, International Conference on Knowledge Discovery and Information Retrieval, Marbella, Spain, 22/10/2025. https://doi.org/10.5220/0013732100004000

Extending Federated Data Platforms in the Cloud Continuum for Manufacturing and Intralogistics. / Mätäsniemi, Krista; Toroi, Teemu; Hästbacka, David.
Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS. ed. / Frans Coenen; Lars Nolle; David Aveiro; Jesualdo Fernandez-Breis; Elio Masciari; Le Gruenwald; Jorge Bernardino; Ricardo Torres. SciTePress, 2025. p. 417-427 (International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Extending Federated Data Platforms in the Cloud Continuum for Manufacturing and Intralogistics

AU - Mätäsniemi, Krista

AU - Toroi, Teemu

AU - Hästbacka, David

N1 - Conference code: 17

PY - 2025

Y1 - 2025

N2 - Federated data platforms (FDPs), or data spaces, are frameworks that facilitate data sharing between diverse data sources and stakeholders. FDPs are critical enablers in the 2020 European Data Strategy where industrial data is a strategic investment area. Industrial use cases can involve high data volumes and velocity despite operating in resource-constrained environments. FDPs have been proven in inter-company data exchanges and are typically implemented on scalable cloud platforms. This study explores the possibility of extending FDPs in the cloud continuum (CC) by examining how the technical requirements of FDP building blocks align with the drivers, characteristics, and enablers of CC layers. The study introduces an analysis framework for finding the optimal placement of building blocks along CC. It also shows that transferring FDP components connected to high data volumes closer to the edge can make FDPs more effective and better suited for manufacturing and intralogistics use cases. The study concludes that there is an architectural fit between FDP functionalities and the characteristics of the CC, and suggests that FDP usability and performance should be studied empirically.

AB - Federated data platforms (FDPs), or data spaces, are frameworks that facilitate data sharing between diverse data sources and stakeholders. FDPs are critical enablers in the 2020 European Data Strategy where industrial data is a strategic investment area. Industrial use cases can involve high data volumes and velocity despite operating in resource-constrained environments. FDPs have been proven in inter-company data exchanges and are typically implemented on scalable cloud platforms. This study explores the possibility of extending FDPs in the cloud continuum (CC) by examining how the technical requirements of FDP building blocks align with the drivers, characteristics, and enablers of CC layers. The study introduces an analysis framework for finding the optimal placement of building blocks along CC. It also shows that transferring FDP components connected to high data volumes closer to the edge can make FDPs more effective and better suited for manufacturing and intralogistics use cases. The study concludes that there is an architectural fit between FDP functionalities and the characteristics of the CC, and suggests that FDP usability and performance should be studied empirically.

KW - Cloud Continuum

KW - Data Spaces

KW - Edge Deployment

KW - Federated Data Platforms

KW - On-premise

KW - Service Placement

UR - https://www.scopus.com/pages/publications/105023487871

U2 - 10.5220/0013732100004000

DO - 10.5220/0013732100004000

M3 - Conference article in proceedings

AN - SCOPUS:105023487871

T3 - International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

SP - 417

EP - 427

BT - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS

A2 - Coenen, Frans

A2 - Nolle, Lars

A2 - Aveiro, David

A2 - Fernandez-Breis, Jesualdo

A2 - Masciari, Elio

A2 - Gruenwald, Le

A2 - Bernardino, Jorge

A2 - Torres, Ricardo

PB - SciTePress

T2 - International Conference on Knowledge Discovery and Information Retrieval

Y2 - 22 October 2025 through 24 October 2025

ER -

Mätäsniemi K, Toroi T, Hästbacka D. Extending Federated Data Platforms in the Cloud Continuum for Manufacturing and Intralogistics. In Coenen F, Nolle L, Aveiro D, Fernandez-Breis J, Masciari E, Gruenwald L, Bernardino J, Torres R, editors, Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS. SciTePress. 2025. p. 417-427. (International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management). doi: 10.5220/0013732100004000

Extending Federated Data Platforms in the Cloud Continuum for Manufacturing and Intralogistics

Abstract

Publication series

Conference

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

TwinFlow: Merging Information Technologies and Operational Technologies (IT & OT) for enhanced production-intralogistics

Cite this

Extending Federated Data Platforms in the Cloud Continuum for Manufacturing and Intralogistics

Abstract

Publication series

Conference

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Projects

TwinFlow: Merging Information Technologies and Operational Technologies (IT & OT) for enhanced production-intralogistics

Cite this