在EGEE网格上建立加密文件系统:在蛋白质序列分析中的应用

Christophe Blanchet, Rémi Mollon, G. Deléage
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引用次数: 16

摘要

生物信息学需要高通量计算和巨大的数据存储来理解数据集,如全基因组计划产生的数据集。但这些数据与患者有关,并用于药物设计和基因功能鉴定等科学或工业过程。这些用例需要具有一定程度的机密性和完整性,以保护患者隐私或专利秘密。在诸如超级计算机或集群之类的本地计算上下文中,这些需求显然很重要,这些需求在诸如EGEE这样的网格上下文中得到了阐述,其中计算和存储资源分布在全球平台上。我们开发了EncFile加密文件管理系统,部署在EGEE项目的生产平台上,关联加密代表性生物资源。因此,我们为网格用户提供了一个不需要任何用户权限的用户友好组件。此外,我们的EncFile系统也可以部署在其他分布式系统上,因为它没有链接到EGEE网格组件。
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Building an encrypted file system on the EGEE grid: application to protein sequence analysis
Bioinformatics needs high-throughput computing and huge data storage to understand datasets such as ones produced by complete genome projects. But these data are linked to patients, and used in scientific or industrial processes such as drug design and gene function identification. These use cases need to have a certain level of confidentiality and integrity to preserve the patient privacy or the patent secret. Obviously important in a local computing context such as supercomputer or cluster, these requirements are exarcebated in the context of a grid such EGEE, where the computing and storage resources are distributed across a worldwide platform. We have developed the EncFile encrypted files management system, deployed on the production platform of the EGEE project, and associated to encrypted representative biological resources. Thus we provided grid users with a user-friendly component that doesn't require any user privileges. Moreover, our EncFile system can be also deployed on other distributed systems as it is not linked to the EGEE grid components.
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