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Latest revision as of 13:00, 8 May 2026

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 ProjectHas TitleHas CategoryHas TypeHas YearHas DOI
CloudSkin$$\text {T}^{2}$$GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian SplattingCloud, Edge, and Continuum ComputingBook chapters2025https://doi.org/10.1007/978-3-032-05114-1 57
CloudSkinOn Data Processing through the Lenses of S3 Object LambdaCloud, Edge, and Continuum ComputingConference proceedings2023https://doi.org/10.1109/INFOCOM53939.2023.10228890
CloudSkinA Reliability Score for Video-Analytics Edge-IoT Devices in Urban EnvironmentsCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1109/DCOSS-IOT65416.2025.00100
CloudSkinManifesting the Elasticity of Serverless Data Pipelines: a Metabolomics Use CaseCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1145/3774899.3775018
CloudSkinIntelligent Optimization of Distributed Pipeline Execution in Serverless Platforms: A Predictive Model ApproachCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1145/3702634.3702951
CloudSkinCRISP: Confidentiality, Rollback, and Integrity Storage Protection for Confidential Cloud-Native ComputingCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.48550/ARXIV.2408.06822
CloudSkinA Last-Level Defense for Application Integrity and ConfidentialityCloud, Edge, and Continuum ComputingConference proceedings2023https://doi.org/10.48550/arxiv.2311.06154
CloudSkin"Back to the Byte"": Towards Byte-oriented Semantics for Streaming Storage""Cloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1145/3700824.3701099
CloudSkinData-Connector: An Agent-Based Framework for Autonomous ML-Based Smart Management in Cloud-Edge ContinuumCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1109/ICNP61940.2024.10858515
CloudSkinLet It Unthread: The Good, The Bad and The Ugly within WebAssembly Portable MultithreadingCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1109/CCGRID64434.2025.00018
CloudSkinQuantifying Serverless Elasticity: The gumeter Benchmark SuiteCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.5281/ZENODO.17701734
CloudSkinA Comprehensive Study on the Impact of Vulnerable Dependencies on Open-Source SoftwareCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1109/ISSRE62328.2024.00020
CloudSkinStreamSense: Policy-driven Semantic Video Search in Streaming SystemsCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1145/3700824.3701097
CloudSkinOptimizing WebAssembly Garbage Collection in Go: Performance Insights, Tuning Tips, and Batch Execution StrategiesCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1109/ICDCS63083.2025.00071
CloudSkinDynamic In-node Group-Aware Scheduling for Multi-Tenant Machine Learning Services on KubernetesCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1109/CLOUD67622.2025.00017
CloudSkinThe Nanoservices Framework: Co-Locating Microservices in the Cloud-Edge ContinuumCloud, Edge, and Continuum ComputingConference proceedings https://doi.org/10.1109/ICNP59255.2023.10355592
CloudSkinFlowState: Sampling-Rate Invariant Time Series Foundation Model with Dynamic Forecasting HorizonsCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.48550/ARXIV.2508.05287
CloudSkinTowards Multi-Tier Stream Data Tiering in the Cloud-Edge ContinuumCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1109/ICNP61940.2024.10858547
CloudSkinPractical Storage-Compute Elasticity for Stream Data ProcessingCloud, Edge, and Continuum ComputingConference proceedings https://doi.org/10.1145/3626562.3626828
CloudSkinDexter: A Performance-Cost Efficient Resource Allocation Manager for Serverless Data AnalyticsCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1145/3652892.3700753
CloudSkinServerful Functions: Leveraging Servers in Complex Serverless Workflows (industry track)Cloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1145/3700824.3701095
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