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EVALUATION OF DATABASE REPLICATION TECHNIQUES FOR CLOUD SYSTEMS

机译:云系统的数据库复制技术评估

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Cloud computing is becoming one of the preferred paradigms to deploy highly available and scalable systems. These systems usually demand the management of huge amounts of data, which cannot be solved with traditional database systems. Traditional replication protocols are not scalable enough for a cloud environment. This paper evolves different static replication techniques to achieve transactional support providing high availability and scalability as needed in cloud systems. This proposal offers different consistency levels according to the demands of client applications using a replication strategy based on a combination of traditional replication techniques with asynchronous epidemic updates. We have run several simulations that show this is an interesting approach to provide transactional support to clients with different consistency guaranties while leveraging the resources used.
机译:云计算正在成为部署高可用性和可伸缩系统的首选范例之一。这些系统通常需要管理大量数据,而传统数据库系统无法解决这些问题。传统的复制协议在云环境中的可伸缩性不足。本文开发了不同的静态复制技术,以实现事务支持,从而提供云系统所需的高可用性和可伸缩性。根据使用传统复制技术和异步流行病更新方法的复制策略的复制策略,此建议根据客户端应用程序的需求提供不同的一致性级别。我们已经运行了一些模拟,这些模拟表明这是一种有趣的方法,可以在利用所用资源的同时为具有不同一致性保证的客户提供事务支持。

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