Let's add transactions to FPGA-based key-value stores!

Z. István
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引用次数: 4

Abstract

In recent years we have seen a proliferation of FPGA-based key value stores (KVSs) [1--3, 5--7, 10] driven by the need for more efficient large-scale data management and storage solutions. In this context, FPGAs are useful because they offer network-bound performance even with small key-value pairs and near-data processing in a fraction of the energy budget of regular servers. Even though the first FPGA-based key-value stores started appearing already in 2013 and have evolved significantly in the meantime, almost no attention has been paid to offering transactions. Today, however, that such systems are becoming increasingly practical, we need to ensure consistency guarantees for concurrent clients (transactions). This position paper makes the case that adding transaction support is not particularly expensive, compared to other parts of these systems, and in the future all FPGA-based KVSs should provide some form of transactional guarantees. In the remaining of this paper we present a high level view of the typical pipelined architecture of FPGA-based KVSs that most existing designs follow, and show three different ways of implementing transactions, with increasing sophistication: from operation batching, through two phase locking (2PL), to a simplified snapshot isolation model.
让我们将事务添加到基于fpga的键值存储中!
近年来,由于需要更高效的大规模数据管理和存储解决方案,我们看到了基于fpga的键值存储(KVSs)的激增[1- 3,5 - 7,10]。在这种情况下,fpga是有用的,因为它们提供了网络绑定的性能,即使是小的键值对和近数据处理,在常规服务器的能源预算的一小部分。尽管第一个基于fpga的键值存储在2013年就已经出现,并且在此期间有了很大的发展,但几乎没有人关注提供交易。然而,今天,这样的系统变得越来越实用,我们需要确保并发客户机(事务)的一致性保证。本文认为,与这些系统的其他部分相比,添加事务支持并不是特别昂贵,而且在未来,所有基于fpga的kvs都应该提供某种形式的事务保证。在本文的其余部分中,我们展示了大多数现有设计遵循的基于fpga的kvs的典型流水线架构的高级视图,并展示了三种不同的实现事务的方式,其复杂性越来越高:从操作批处理,到两阶段锁定(2PL),再到简化的快照隔离模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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