CloudSkin
Adaptive virtualization for AI-enabled Cloud-edge Continuum
Full project details (EU Research results portal): https://cordis.europa.eu/project/id/101092646
Project description:
""As of today, 80% of the data processing and analysis occurs in cloud data centers, and only 20% of processing occurs at the edge. This incipient exploitation of edge resources increases time to value and prevents business processes, decisions, and intelligence to be taken outside of the data center, which prevents Europe to unlock an entire set of new opportunities to serve different industries and use cases in Europe in the next years. To help to materialize the European bid on a true continuum in the next few years, CloudSkin pursues to build a cognitive cloud continuum platform with three main innovations: 1. The CloudSkin platform will leverage AI/ML to optimize workloads, resources, energy, and network traffic for a rapid adaptation to changes in application behavior and data variability, re-configuraing the """"sweet spot"""" between the cloud and the edge in the face of the rapid varying conditions;2. The CloudSkin platform will also help users to achieve stack identicality across the Cloud-edge continuum, whereby the same (legacy) software stacks (e.g., MPI programs) running in data centers can seamlessly run at remote edges. The development of a new lightweight, portable virtualizaion abstraction will be paired with the development of new confidential abstractions to protect data while it is in use; and 3. CloudSkin will also contribute to prepare the needed infrastructure to integrate the new virtualized execution abstractions into the virtual resource continuum, particularly, for those Cloud-edge applications composed of small tasks with fast data access and sharing requirements. The infrastructure will expose the relevant control knobs to enable dynamic reconfiguration of resources as assisted by the AI/ML-based orchestration plane in the CloudSkin platform.Altogether, the above innovations are the strategic elements of what we envision as the new cognitive continuum for the cloud and edge"""".""
EuroVoc IDs: /natural sciences/computer and information sciences/software
EU Programme: Horizon Europe
EU Project
Project publications:
| EU Project | Has Title | Has Category | Has Type | Has Year | Has DOI |
|---|---|---|---|---|---|
| CloudSkin | $$\text {T}^{2}$$GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting | Cloud, Edge, and Continuum Computing | Book chapters | 2025 | https://doi.org/10.1007/978-3-032-05114-1 57 |
| CloudSkin | On Data Processing through the Lenses of S3 Object Lambda | Cloud, Edge, and Continuum Computing | Conference proceedings | 2023 | https://doi.org/10.1109/INFOCOM53939.2023.10228890 |
| CloudSkin | A Reliability Score for Video-Analytics Edge-IoT Devices in Urban Environments | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1109/DCOSS-IOT65416.2025.00100 |
| CloudSkin | Manifesting the Elasticity of Serverless Data Pipelines: a Metabolomics Use Case | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1145/3774899.3775018 |
| CloudSkin | Intelligent Optimization of Distributed Pipeline Execution in Serverless Platforms: A Predictive Model Approach | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1145/3702634.3702951 |
| CloudSkin | CRISP: Confidentiality, Rollback, and Integrity Storage Protection for Confidential Cloud-Native Computing | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.48550/ARXIV.2408.06822 |
| CloudSkin | A Last-Level Defense for Application Integrity and Confidentiality | Cloud, Edge, and Continuum Computing | Conference proceedings | 2023 | https://doi.org/10.48550/arxiv.2311.06154 |
| CloudSkin | "Back to the Byte"": Towards Byte-oriented Semantics for Streaming Storage"" | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1145/3700824.3701099 |
| CloudSkin | Data-Connector: An Agent-Based Framework for Autonomous ML-Based Smart Management in Cloud-Edge Continuum | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1109/ICNP61940.2024.10858515 |
| CloudSkin | Let It Unthread: The Good, The Bad and The Ugly within WebAssembly Portable Multithreading | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1109/CCGRID64434.2025.00018 |
| CloudSkin | Quantifying Serverless Elasticity: The gumeter Benchmark Suite | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.5281/ZENODO.17701734 |
| CloudSkin | A Comprehensive Study on the Impact of Vulnerable Dependencies on Open-Source Software | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1109/ISSRE62328.2024.00020 |
| CloudSkin | StreamSense: Policy-driven Semantic Video Search in Streaming Systems | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1145/3700824.3701097 |
| CloudSkin | Optimizing WebAssembly Garbage Collection in Go: Performance Insights, Tuning Tips, and Batch Execution Strategies | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1109/ICDCS63083.2025.00071 |
| CloudSkin | Dynamic In-node Group-Aware Scheduling for Multi-Tenant Machine Learning Services on Kubernetes | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1109/CLOUD67622.2025.00017 |
| CloudSkin | The Nanoservices Framework: Co-Locating Microservices in the Cloud-Edge Continuum | Cloud, Edge, and Continuum Computing | Conference proceedings | https://doi.org/10.1109/ICNP59255.2023.10355592 | |
| CloudSkin | FlowState: Sampling-Rate Invariant Time Series Foundation Model with Dynamic Forecasting Horizons | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.48550/ARXIV.2508.05287 |
| CloudSkin | Towards Multi-Tier Stream Data Tiering in the Cloud-Edge Continuum | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1109/ICNP61940.2024.10858547 |
| CloudSkin | Practical Storage-Compute Elasticity for Stream Data Processing | Cloud, Edge, and Continuum Computing | Conference proceedings | https://doi.org/10.1145/3626562.3626828 | |
| CloudSkin | Dexter: A Performance-Cost Efficient Resource Allocation Manager for Serverless Data Analytics | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1145/3652892.3700753 |
| CloudSkin | Serverful Functions: Leveraging Servers in Complex Serverless Workflows (industry track) | Cloud, Edge, and Continuum Computing | Conference proceedings | 2025 | https://doi.org/10.1145/3700824.3701095 |