Workshop: HUST-22: 9th International Workshop on HPC User Support Tools
Authors: Shin'ichiro Takizawa (National Institute of Advanced Industrial Science and Technology (AIST), Japan); Masaaki Shimizu (Hitachi Ltd, Japan); Hidemoto Nakada (National Institute of Advanced Industrial Science and Technology (AIST), Japan); Hiroya Matsuba (Hitachi Ltd, Japan); and Ryousei Takano (National Institute of Advanced Industrial Science and Technology (AIST), Japan)
Abstract: 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.
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