一个实用的复制持久通用结构

Gaetano Coccimiglio, Trevor Brown, Srivatsan Ravi
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引用次数: 0

摘要

设计和实现正确的并发数据结构的过程并不简单,而且常常容易出错。最近非易失性存储器的商业可用性促使许多研究人员也考虑设计持久共享状态的并发数据结构,允许在电源故障后恢复数据结构。这些所谓的持久并发数据结构进一步复杂化了实现正确和有效实现的过程。通用结构(UCs)作为一种更容易实现正确并发数据结构的方法,在易失性共享存储器领域得到了广泛的研究,它可以在给定顺序对象的情况下产生并发对象。相比之下,只有少数持久通用结构(puc)除了从顺序对象产生并发对象之外,还保证在崩溃后可以恢复对象。现有的cpu满足持久线性化的正确性条件,即要求操作在完成之前被持久化。满足缓冲持久线性性较弱的正确性条件可以提高性能,但代价是在崩溃后无法恢复某些已完成的操作。在这项工作中,我们设计并实现了基于节点复制UC的缓冲持久线性化和持久线性化PUC。我们证明,我们可以获得更好的性能,满足缓冲持久线性性,同时还限制了崩溃后可能丢失的最大操作数量。
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PREP-UC: A Practical Replicated Persistent Universal Construction
The process of designing and implementing correct concurrent data structures is non-trivial and often error prone. The recent commercial availability of non-volatile memory has prompted many researchers to also consider designing concurrent data structures that persist shared state allowing the data structure to be recovered following a power failure. These so called persistent concurrent data structures further complicate the process of achieving correct and efficient implementations. Universal constructions (UCs) which produce a concurrent object given a sequential object, have been studied extensively in the space of volatile shared memory as a means of more easily implementing correct concurrent data structures. In contrast, there are only a handful of persistent universal constructions (PUCs) which beyond producing a concurrent object from a sequential object, guarantees that the object can be recovered following a crash. Existing PUCs satisfy the correctness condition of durable linearizability which requires that operations are persisted before they complete. Satisfying the weaker correctness condition of buffered durable linearizability allows for improved performance at the cost of failing to recover some completed operations following a crash. In this work we design and implement both a buffered durable linearizable and a durable linearizable PUC based on the node replication UC. We demonstrate that we can achieve significantly better performance satisfying buffered durable linearizability while also restricting the maximum number of operations that can be lost after a crash.
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