Confidential High-Performance Computing in the Public Cloud
Confidential High-Performance Computing in the Public Cloud
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DOI：
10.1109/mic.2022.3226757
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发表时间：
2022-12
影响因子：
3.2
通讯作者：
Keke Chen
中科院分区：
文献类型：
--
作者：
Keke Chen
公共云中的高性能计算（HPC）使大多数用户无法负担购买和维护的超级计算能力民主化。研究人员已经研究了它的可行性，性能和可用性。然而，云中的HPC具有独特的功能-用户必须将数据和计算导出到不受信任的云平台。用户要么完全信任云提供商来保护自己免受各种攻击，要么将敏感资产保留在内部。随着可信执行环境（TEE）最近在云中的部署，云中的HPC的机密计算对于解决用户的隐私问题变得实用。本文讨论了威胁模型、独特的挑战、可能的解决方案和重大差距，重点关注基于TEE的机密HPC计算。我们希望这次讨论能够提高对云中HPC这一新课题的理解，并促进新的研究方向。
High-performance computing (HPC) in the public cloud democratizes the supercomputing power that most users cannot afford to purchase and maintain. Researchers have studied its viability, performance, and usability. However, HPC in the cloud has a unique feature—users have to export data and computation to somewhat untrusted cloud platforms. Users will either fully trust cloud providers to protect from all kinds of attacks or keep sensitive assets in-house instead. With the recent deployment of the trusted execution environment (TEE) in the cloud, confidential computing for HPC in the cloud is becoming practical for addressing users’ privacy concerns. This article discusses the threat models, unique challenges, possible solutions, and significant gaps, focusing on TEE-based confidential HPC computing. We hope this discussion will improve the understanding of this new topic for HPC in the cloud and promote new research directions.