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PCS: a parity-based personal data recovery service in cloud

机译:PCS:云中的基于奇偶的个人数据恢复服务

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As more and more data are generated in an electronic format, the necessity of a data recovery service has increased, and the development of more efficient data backup and recovery technology has been an important issue during the past decade. While lots of effective backup and recovery technologies have been developed for enterprise level, little work has been done for convenient and inexpensive personal data recovery service, i.e., cloud storage service is still inadequate or expensive for backing up tera-scale HDDs. Furthermore, since privacy protection is a crucial issue for providing a personal data recovery service, a plain data backup-based recovery service is not adequate for public service. Users are reluctant to upload their data to internet backup servers until they can fully trust the service provider in terms of privacy protection. We propose a novel data recovery service framework on cloud infrastructure, a parity cloud service, which provides privacy-protected personal data recovery service while requiring a small storage space in the cloud. The proposed framework does not require any user data to be uploaded to the server, but only parity data are uploaded to the server for user data recovery. Also, the necessary server-side resources for providing the service are within a reasonable bound, depending on the data recover-ability and recovery time.
机译:随着以电子格式产生的越来越多的数据,数据恢复服务的必要性增加了,并且在过去十年中,更有效的数据备份和恢复技术的开发是一个重要问题。虽然已经为企业级开发了许多有效的备份和恢复技术,但对于方便且廉价的个人数据恢复服务,即云存储服务仍然不足或昂贵,以备份TERA级HDD。此外,由于隐私保护是提供个人数据恢复服务的重要问题,因此基于普通数据备份的恢复服务对于公共服务不足。用户不愿意将其数据上传到Internet备份服务器,直到他们可以在隐私保护方面完全信任服务提供商。我们在云基础架构中提出了一种新的数据恢复服务框架,奇偶校友云服务,它提供了隐私受保护的个人数据恢复服务,同时需要云中的小存储空间。所提出的框架不需要将任何用户数据上载到服务器,但仅将奇偶校验数据上载到服务器以进行用户数据恢复。此外,根据数据恢复能力和恢复时间,用于提供服务的必要服务器端资源在合理的绑定范围内。

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