Proving PACELC

W. Golab
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引用次数: 6

摘要

可伸缩的分布式系统由于在计算节点之间交换信息的相对较高的成本而面临固有的权衡。Brewer的CAP(一致性、可用性、分区容忍)原则指出,当系统的隔离部分(即网络被分区)之间的通信变得不可能时,系统必须放弃安全性(即有时返回不正确的结果)或活动性(即有时无法产生结果)。Abadi通过定义PACELC(如果分区则可用性或一致性,否则延迟或一致性)公式来推广Brewer原则,该公式捕捉到即使在网络可靠的情况下,安全性和活动性之间的权衡经常在实践中进行。在Gilbert和Lynch对CAP原理的形式化证明的基础上,本文提出了对Abadi公式的形式化处理,并将该结果与先前关于分布式对象延迟边界的工作联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proving PACELC
Scalable distributed systems face inherent trade-offs arising from the relatively high cost of exchanging information between computing nodes. Brewer's CAP (Consistency, Availability, Partition-Tolerance) principle states that when communication becomes impossible between isolated parts of the system (i.e., the network is partitioned), then the system must give up either safety (i.e., sometimes return an incorrect result) or liveness (i.e., sometimes fail to produce a result). Abadi generalized Brewer's principle by defining the PACELC (if Partition then Availability or Consistency, Else Latency or Consistency) formulation, which captures the ob- servation that the trade-off between safety and liveness is often made in practice even while the network is reliable. Building on Gilbert and Lynch's formal proof of the CAP principle, this paper presents a formal treatment of Abadi's formulation and connects this result to a body of prior work on latency bounds for distributed objects.
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