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_data/outputs.yml

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software:
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- title: "Lithops"
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description: "A multi-cloud framework for big data analytics and embarrassingly parallel jobs that transparently scales local python code to the cloud."
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link: "https://lithops-cloud.github.io/"
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description: "The main serverless computing framework developed and extended during the project, featuring the 'Flexecutor' scheduler and enhanced WebAssembly support."
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link: "https://github.com/lithops-cloud/lithops"
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- title: "Lithops Applications (Benchmarks)"
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description: "A suite of reference applications and benchmarks (Bioinformatics, Geospatial, Metabolomics) used for KPI and performance validation."
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link: "https://github.com/lithops-cloud/applications"
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- title: "SpotWhisk"
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description: "SpotWhisk is a FaaS platform that replaces standard computational units with spot instances to achieve significant cost savings."
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link: "https://github.com/SpotWhisk"
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- title: "Water Consumption Pipeline"
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description: "A serverless pipeline designed to measure and analyze water consumption across different geographic regions."
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link: "https://github.com/ubenabdelkrim/water-consumption-alterna"
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- title: "DataPlug"
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description: "An open-source library for cloud data management that enables on-the-fly dynamic partitioning of unstructured and semi-structured data."
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link: "https://github.com/cloudlab-urv/dataplug"
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- title: "DataCockpit"
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description: "A visual tool (Python widget) that enables simple and intuitive dataset partitioning through a graphical interface without writing code."
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link: "https://github.com/CLOUDLAB-URV/data-cockpit"
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- title: "ML-Pipeline-Optimizer"
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description: "Repository including the platform and results of the publication 'Intelligent Optimization of Distributed Pipeline Execution in Serverless Platforms: A Predictive Model Approach'."
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link: "https://github.com/ubenabdelkrim/ML-Pipeline-Optimizer"
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- title: "Dynamic Frequency Based Fingerprinting Attacks against Modern Sandbox Environments"
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description: "An attack framework that identifies cloud containers and sandboxes via CPU frequency fingerprints and proposes mitigation through noise injection."
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link: "https://github.com/Diptakuet/Dynamic-Frequency-Based-Fingerprinting-Attacks-against-Modern-Sandbox-Environments"
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- title: "OpenNebula Appliances"
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description: "Official repository containing the appliances developed to deploy Lithops and MinIO on clusters managed by OpenNebula (K8s/LXC)."
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link: "https://github.com/OpenNebula/one-apps"
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publications:
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- title: "Dataplug: Unlocking extreme data analytics with on-the-fly dynamic partitioning of unstructured data"

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