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Data Consistency in Multi-Cloud Storage Systems with Passive Servers and Non-Communicating Clients
IEEE Access ( IF 3.9 ) Pub Date : 2020-01-01 , DOI: 10.1109/access.2020.3022463
Naram Mhaisen , Qutaibah M. Malluhi

Multi-cloud storage systems are becoming more popular due to the ever-expanding amount of consumer data. This growth is accompanied by increasing concerns regarding security, privacy, and reliability of cloud storage solutions. Ensuring data consistency in such systems is especially challenging due to their architecture and characteristics. Specifically, passive cloud storage cannot run coordination software, and clients cannot communicate directly to reach consensus. Furthermore, the atomicity of operations is not always guaranteed by the clouds’ public APIs. In this paper, we formally define data consistency in multi-cloud storage systems, identify how they can be violated, and introduce a new method that provably maintains the data consistency in these systems. The implementation and experiments show that the proposed method can maintain data consistency with a certain delay in data uploading and that it is scalable with respect to the number of used clouds as well as the number of users. Integrating this method into multi-cloud storage systems will enhance their usability and reliability.

中文翻译:

具有被动服务器和非通信客户端的多云存储系统中的数据一致性

由于消费者数据量不断扩大,多云存储系统变得越来越流行。这种增长伴随着对云存储解决方案的安全性、隐私性和可靠性的日益关注。由于其架构和特性,确保此类系统中的数据一致性尤其具有挑战性。具体而言,被动云存储无法运行协调软件,客户端无法直接通信以达成共识。此外,云的公共 API 并不总是保证操作的原子性。在本文中,我们正式定义了多云存储系统中的数据一致性,确定了如何违反它们,并介绍了一种可证明在这些系统中维护数据一致性的新方法。实现和实验表明,所提出的方法可以在数据上传有一定延迟的情况下保持数据一致性,并且在使用的云数量和用户数量方面具有可扩展性。将此方法集成到多云存储系统中将增强其可用性和可靠性。
更新日期:2020-01-01
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