Luna-TX:持久内存的优化事务机制

H. Shu, H. Liu, Hongyu Chen, Youyou Lu, J. Shu
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引用次数: 0

摘要

目前,大多数持久性内存编程库都采用预写日志(write-ahead-logging, WAL)技术来保证内存分配和更新过程的一致性。在持久内存频繁更新的应用程序中,这种方法会对系统性能造成严重影响。在这项工作中,我们仔细分析了应用程序的实际需求,并提出了一种名为Luna_TX的持久性内存的优化释放机制。在改进的机制中,我们从关键路径上删除了日志和对象的内存释放阶段,并将事务更新和释放过程中的生成延迟到事务的执行之外,从而降低了关键路径上的性能开销。实验结果表明,该机制可以显著降低交易延迟,并将整个交易性能提高59%。
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Luna-TX: An Optimized Transactional Mechanism for Persistent Memory
At present, most existing persistent memory programming libraries use write-ahead-logging(WAL) technology to ensure the consistency of memory allocating and updating process. In the application where persistent memory is frequently updated, this approach will bring a serious impact on system performance. In this work, we carefully analyzed the actual requirements of the applications and propose an optimized release mechanism for persistent memory called Luna_TX. In the improved mechanism, we remove the memory releasing phases of logs and objects from the critical path and generating in the process of update and release of transactions is delayed to the execution out of the transaction, which reduces the performance overhead on the critical paths. The experimental results have shown that the proposed mechanism can reduce the transaction delay significantly and boost up the whole transaction performance at 59%.
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