Dataset Lifecycle Framework

Dataset Lifecycle Framework（数据集生命周期框架）是由欧洲分子生物学实验室 - 欧洲生物信息学研究所开发的，旨在简化生物信息学管道对云存储的访问。该框架通过创建数据集自定义资源定义（CRD），允许用户在Kubernetes环境中直接访问远程数据源。数据集支持多种存储类型，如S3和NFS，适用于机器学习（ML）和非ML生物信息学管道。此框架不仅简化了数据访问流程，还提高了安全性，并通过缓存机制显著提升了性能。它适用于需要本地文件系统访问的HPC应用迁移到云环境。Dataset Lifecycle Framework was developed by the European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI) to simplify cloud storage access for bioinformatics pipelines. This framework enables direct access to remote data sources within Kubernetes environments by creating Dataset Custom Resource Definitions (CRDs). It supports various storage types including S3 and NFS, and is applicable to both machine learning (ML) and non-ML bioinformatics pipelines. This framework not only simplifies data access workflows, but also enhances security and significantly boosts performance through caching mechanisms. It is suitable for migrating HPC applications that require local file system access to cloud environments.