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Dynamic Cost-Efficient Replication in Data Clouds

机译:数据云中的动态经济高效复制

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Hardware failures in current data centers are common partly due to the higher data scales supported. Data replication is the common approach for improving availability. However, mostly static replication approaches have been proposed, I.e. the number of replicas and their locations are fixed. Moreover, the geographical diversity of data locations has not explicitly been considered. In this paper, we propose a cost-efficient replication scheme across data centers that dynamically adapts the number of replicas employed per partition to the query load, while maintaining availability guarantees in case of failures. Our approach employs a virtual economy that is experimentally proved in a simulated environment to achieve load balancing among data servers at the minimum cost.
机译:当前数据中心的硬件故障很常见,部分原因是受支持的数据规模更大。数据复制是提高可用性的常用方法。但是,大多数静态复制方法已经被提出,即副本的数量及其位置是固定的。此外,尚未明确考虑数据位置的地理多样性。在本文中,我们提出了一种跨数据中心的经济高效的复制方案,该方案可以动态地将每个分区使用的副本数适应查询负载,同时在发生故障的情况下保持可用性保证。我们的方法采用了在模拟环境中经过实验证明的虚拟经济,以最低的成本实现了数据服务器之间的负载平衡。

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