DwarfGC:用于云计算的NVM中空间高效且崩溃一致的垃圾收集器

Heting Li, Mingyu Wu
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引用次数: 1

摘要

新兴的云计算引发了对大规模数据处理的需求,这也使得Hadoop、Spark、Flink等基于Java虚拟机(JVM)的大数据平台蓬勃发展。在内存中存储大量数据可以使这些平台受益于Java中令人满意的性能和强大的内存管理和垃圾收集服务。非易失性内存(NVM)提供了非易失性、字节可寻址和快速访问速度的特性,因此成为未来云系统和Java世界中易失性内存的最佳选择。本文提出了一种可恢复的垃圾收集器,名为DwarfGC,用于管理NVM中的Java对象,以确保崩溃一致性和持久性。在GC开始时,DwarfGC将与堆相关的元数据保存到NVM中,并依赖它进行恢复。元数据以节省空间的方式存储,但产生很少的时间开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DwarfGC: A Space-Efficient and Crash-Consistent Garbage Collector in NVM for Cloud Computing
Emerging cloud computing arouses need for large-scale data processing which in turn promises vigorous developments on big data platforms running on Java Virtual Machine (JVM), such as Hadoop, Spark and Flink. Storing a large amount of data in memory allows those platforms to benefit from satisfying performance and powerful memory management and garbage collection service in Java. Non-volatile memory (NVM) provides nonvolatility, byte-addressable and fast access speed characteristics and thus becomes a superior alternative for volatile memory utilizing in future cloud system and Java world. This paper presents a recoverable garbage collector named DwarfGC to manage Java objects in NVM so as to ensure crash consistency and durability. DwarfGC persists heap-related metadata into NVM at the beginning of GC and relies on it for recovery. The metadata is stored in a space-efficient fashion but incurring little time overhead.
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