CloudQ: A Secure AI / HPC Cloud Bursting System
2022 IEEE/ACM International Workshop on HPC User Support Tools (HUST)(2022)
摘要
As a method to optimize the investment for computational resources, cloud bursting is collecting a lot of attention, where the organizations utilize the cloud computing environment in on-demand fashion, while preserving the minimum amount of on-premise resources for sensitive data processing. For the practical cloud bursting, we need to achieve 1) secure job / data sharing, 2) uniform job execution environment for on-premise and cloud, and 3) on-demand automatic deployment of the execution environment on the cloud. To enable these items, we propose a meta-scheduling system called CloudQ. CloudQ 1) uses cloud object storage for data sharing, 2) utilizes container images to provide uniform job execution environment, and 3) automatically deploys an execution environment on the cloud.
更多查看译文
关键词
cloud bursting,public cloud,auto scaling
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要