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SLOG: Serializable, Low-latency, Geo-replicated Transactions

机译:SLOG:可序列化,低延迟,地理复制事务

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For decades, applications deployed on a world-wide scale have been forced to give up at least one of (1) strict serializability (2) low latency writes (3) high transactional throughput. In this paper we discuss SLOG: a system that avoids this tradeoff for workloads which contain physical region locality in data access. SLOG achieves high-throughput, strictly serializable ACID transactions at geo-replicatcd distance and scale for all transactions submitted across the world, all the while achieving low latency for transactions that initiate from a location close to the home region for data they access. Experiments find that SLOG can reduce latency by more than an order of magnitude relative to state-of-the-art strictly serializable geo-replicated database systems such as Spanner and Calvin, while maintaining high throughput under contention.
机译:数十年来,在全球范围内部署的应用程序被迫放弃(1)严格的可序列化性(2)低延迟的写入(3)高事务处理吞吐量中的至少一项。在本文中,我们讨论SLOG:一种避免在工作负载中进行折衷的系统,该工作负载在数据访问中包含物理区域局部性。 SLOG在全球范围内提交的所有事务中都实现了地理复制距离和规模上的高吞吐量,严格可序列化的ACID事务,同时对于从靠近其母域的位置发起的所访问数据发起的事务实现了低延迟。实验发现,相对于诸如Spanner和Calvin之类的最新的严格可序列化的地理复制数据库系统,SLOG可以将延迟减少一个数量级以上,同时在争用状态下保持高吞吐量。

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