ArticleSensors (Basel, Switzerland)2022
A Reference Architecture for Cloud-Edge Meta-Operating Systems Enabling Cross-Domain, Data-Intensive, ML-Assisted Applications: Architectural Overview and Key Concepts.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
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Who cites it
7 citing papers in PubMed.
- A Survey on the Computing Continuum and Meta-Operating Systems: Perspectives, Architectures, Outcomes, and Open Challenges.Sensors (Basel, Switzerland) · 2026Review
- Presenting the COGNIFOG Framework: Architecture, Building Blocks and Road toward Cognitive Connectivity.Sensors (Basel, Switzerland) · 2024Article
- Leveraging Edge Computing for Video Data Streaming in UAV-Based Emergency Response Systems.Sensors (Basel, Switzerland) · 2024Article
- Computation Offloading and Resource Allocation Based on P-DQN in LEO Satellite Edge Networks.Sensors (Basel, Switzerland) · 2023Article
- Intelligent Hierarchical Admission Control for Low-Earth Orbit Satellites Based on Deep Reinforcement Learning.Sensors (Basel, Switzerland) · 2023Article
- A Modular Framework for Data Processing at the Edge: Design and Implementation.Sensors (Basel, Switzerland) · 2023Article
- Monitoring and Control Framework for IoT, Implemented for Smart Agriculture.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Future data-intensive intelligent applications are required to traverse across the cloud-to-edge-to-IoT continuum, where cloud and edge resources elegantly coordinate, alongside sensor networks and data. However, current technical solutions can only partially handle the data outburst associated with the IoT proliferation experienced in recent years, mainly due to their hierarchical architectures. In this context, this paper presents a reference architecture of a meta-operating system (RAMOS), targeted to enable a dynamic, distributed and trusted continuum which will be capable of facilitating the next-generation smart applications at the edge. RAMOS is domain-agnostic, capable of supporting heterogeneous devices in various network environments. Furthermore, the proposed architecture possesses the ability to place the data at the origin in a secure and trusted manner. Based on a layered structure, the building blocks of RAMOS are thoroughly described, and the interconnection and coordination between them is fully presented. Furthermore, illustration of how the proposed reference architecture and its characteristics could fit in potential key industrial and societal applications, which in the future will require more power at the edge, is provided in five practical scenarios, focusing on the distributed intelligence and privacy preservation principles promoted by RAMOS, as well as the concept of environmental footprint minimization. Finally, the business potential of an open edge ecosystem and the societal impacts of climate net neutrality are also illustrated.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.