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

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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 ensure verifiable, tamper-resistant, and continuously accessible data exchange among heterogeneous edge and cloud components. By embedding blockchain-based smart contracts into swarm-enabled edge infrastructures, the approach supports automated decision-making, auditable coordination, and fault-tolerant data sharing without reliance on trusted intermediaries. The proposed OASEES framework demonstrates how DAO-driven orchestration can improve data availability and accountability in real-world scenarios such as 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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