Leveraging the DAO for Edge-to-Cloud Data Sharing and Availability

Reliable data availability and transparent governance are fundamental requirements for distributed edge-to-cloud systems that must operate across multiple administrative domains. Conventional cloud-centric architectures centralize control and storage, creating bottlenecks and limiting autonomous collaboration at the network edge. This paper introduces a decentralized governance and service-management framework that leverages Decentralized Autonomous Organizations (DAOs) and Decentralized Applications (DApps) to to govern and orchestrate verifiable, tamper-resistant, and continuously accessible data exchange between heterogeneous edge and cloud components. By embedding blockchain-based smart contracts within swarm-enabled edge infrastructures, the approach enables automated decision-making, auditable coordination, and fault-tolerant data sharing without relying on trusted intermediaries. The proposed OASEES framework demonstrates how DAO-driven orchestration can enhance data availability and accountability in real-world scenarios, including energy grid balancing, structural safety monitoring, and predictive maintenance of wind turbines. Results highlight that decentralized governance mechanisms enhance transparency, resilience, and trust, offering a scalable foundation for next-generation edge-to-cloud data ecosystems.

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Publication Details

Journal
Future Internet
Published
2026-01-08
DOI
https://doi.org/10.3390/fi18010037
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
99.41

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Leveraging the DAO for Edge-to-Cloud Data Sharing and Availability

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Leveraging the DAO for Edge-to-Cloud Data Sharing and Availability

Adnan Imeri, Daniel Lázaro Iglesias, Uwe Roth, Wouter Tavernier, Andreas Oikonomakis, Michail Alexandros Kourtis, Antonella Cadeddu, Lorenzo Fogli, Alessandro Bianchini, Achilleas Economopoulos
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Abstract

Reliable data availability and transparent governance are fundamental requirements for distributed edge-to-cloud systems that must operate across multiple administrative domains. Conventional cloud-centric architectures centralize control and storage, creating bottlenecks and limiting autonomous collaboration at the network edge. This paper introduces a decentralized governance and service-management framework that leverages Decentralized Autonomous Organizations (DAOs) and Decentralized Applications (DApps) to to govern and orchestrate verifiable, tamper-resistant, and continuously accessible data exchange between heterogeneous edge and cloud components. By embedding blockchain-based smart contracts within swarm-enabled edge infrastructures, the approach enables automated decision-making, auditable coordination, and fault-tolerant data sharing without relying on trusted intermediaries. The proposed OASEES framework demonstrates how DAO-driven orchestration can enhance data availability and accountability in real-world scenarios, including energy grid balancing, structural safety monitoring, and predictive maintenance of wind turbines. Results highlight that decentralized governance mechanisms enhance transparency, resilience, and trust, offering a scalable foundation for next-generation edge-to-cloud data ecosystems.

Future InternetVol. 18(1)
Capgemini (Netherlands) (NL), National Centre of Scientific Research "Demokritos" (GR), Salesian Pontifical University (IT), Ghent University (BE), Luxembourg Institute of Science and Technology (LU), Institute of Informatics of the Slovak Academy of Sciences (SK), SCM Group (Italy) (IT)
European Commission, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 0%
Blockchain Technology Applications and Security
99.41
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