Cloud computing provisions computer resources at a cost-effective way based on demand. Therefore it has become a viable solution for big data analytics and artificial intelligence which have been widely adopted in various domain science. Data security in certain fields such as biomedical research remains a major concern when moving their workflows to cloud, because cloud environments are generally outsourced which are more exposed to risks. We present a secure cloud architecture and describes how it enables workflow packaging and scheduling while keeping its data, logic and computation secure in transit, in use and at rest.

翻译：云计算以按需分配的方式经济高效地提供计算资源，因而成为大数据分析和人工智能领域可行解决方案，这些技术已在多学科领域广泛采用。在将工作流迁移至云平台时，生物医学研究等特定领域的数据安全仍是主要关切问题，因为云环境通常外包服务，面临更多风险。我们提出一种安全云架构，并阐述其如何实现工作流封装与调度，同时确保数据、逻辑及计算在传输、使用及存储过程中的安全性。