Sci-Orchestra让科研人员免于运维烦恼,专注科学发现。
Delivering Science as a Service: Sci-Orchestra's Cloud-Native Approach to HPC

- 用API自动管理认证、资源与容器部署,支持Kubernetes架构。
- 构建自治服务市场,实现跨机构快速共享与协作。
- 黑箱式接口保护知识产权,适合产学研联合研发。
现代计算环境日益复杂,研究人员常被基础设施管理、身份验证和容器部署所困扰。我们提出Sci-Orchestra,一种分层编排框架,可全自动执行实验流程,使科学家专注于科学发现而非后端操作。通过API驱动接口抽象执行过程,系统负责安全认证、资源管理及在多样高性能计算环境中基于Kubernetes的可扩展部署。其核心创新是自主服务市场,研究人员可通过直观界面快速部署和共享专用服务,无需复杂安装与技术配置。该模块化架构专为产业合作设计,提供安全执行环境,允许外部合作者在不交换源码的情况下测试和验证专有工具。这种‘黑箱’互操作性保护知识产权,同时实现无缝集成到更广泛的科学流程中,加速实验室原型向工业级应用的转化。
原文摘要 · Abstract (English)
The increasing complexity of modern computational environments often burdens researchers with infrastructure management, authentication protocols, and container deployments. We present Sci-Orchestra, a layered orchestration framework designed to fully automate experimental workflows, allowing scientists to prioritize scientific discovery over backend operations. By abstracting execution through an API-driven interface, the system assumes responsibility for secure authentication, resource management, and scalable deployment across diverse high-performance computing environments using Kubernetes architectures. A key innovation of Sci-Orchestra is its autonomous marketplace, which serves as a catalyst for cross-institutional collaboration. Through an intuitive user interface, researchers can rapidly deploy and share specialized services via simple selections, eliminating the need for complex installations and technical setups. This modular infrastructure is specifically designed to facilitate industry partnerships as it provides a secure execution environment and allows external collaborators to test and validate proprietary tools without the need for source-code exchange. This ``black-box'' interoperability protects intellectual property while enabling seamless integration into broader scientific pipelines, ultimately accelerating the transition from laboratory prototypes to industrial-scale applications.
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