Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case
Distributed AI and IoT applications increasingly execute across heterogeneous resources spanning end devices, edge/fog infrastructure, and cloud platforms, often under different administrative domains. Fluid Computing has emerged as a promising paradigm for enhancing massive resource management across the computing continuum by treating such resources as a unified fabric, enabling optimal service-agnostic deployments driven by application requirements. However, existing solutions remain largely centralized and often do not explicitly address multi-domain considerations. This paper proposes an agnostic multi-domain orchestration architecture for fluid computing environments. The orchestrat...
| Authors | Diego Cajaraville-Aboy, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo et al. |
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| Primary category | cs.DC |
| Published | 12 March 2026 |
| Last updated at source | 26 June 2026 |
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