大容量:通过垃圾收集在分布式共享内存中的可达性实现持久性

P. Ferreira, M. Shapiro
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引用次数: 35

摘要

我们认为基于分布式共享内存(DSM)的共享存储支持可达性持久性(PBR),这是一种非常简单的分布式系统数据共享模型。该DSM+PBR模型基于分布式垃圾收集(GC)。在DSM+PBR的通用模型中,我们指定了一种高效且可扩展的分布式GC算法。它的主要特点是:(i)独立收集内存子集(即使在复制时),(ii)与一致性正交,(iii)异步,以及(iv)简单的启发式收集周期,避免额外的i /O成本。我们简要地描述了我们的实现,并展示了一些性能结果。
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Larchant: persistence by reachability in distributed shared memory through garbage collection
We consider a shared store based on distributed shared memory (DSM) supporting persistence by reachability (PBR) a very simple data sharing model for a distributed system. This DSM+PBR model is based on distributed garbage collection (GC). Within a general model for DSM+PBR, we specify a distributed GC algorithm that is efficient and scalable. Its main features are: (i) independent collection of memory subsets (even when replicated), (ii) orthogonal from coherence, (iii) asynchrony, and (iv) a simple heuristic to collect cycles avoiding extra I/O costs. We briefly describe our implementation and show some performance results.
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