Bankshot: caching slow storage in fast non-volatile memory

Meenakshi Sundaram Bhaskaran, Jian Xu, S. Swanson
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引用次数: 1

Abstract

Emerging non-volatile storage (e.g., Phase Change Memory, STTRAM) allow access to persistent data at latencies an order of magnitude lower than SSDs. The density and price gap between NVMs and denser storage make NVM economically most suitable as a cache for larger, more conventional storage (i.e., NAND flashbased SSDs and disks). Existing storage caching architectures (even those that use fast flash-based SSDs) introduce significant software overhead that can obscure the performance benefits of faster memories. We propose Bankshot, a caching architecture that allows cache hits to bypass the OS (and the associated software overheads) entirely, while relying on the OS for heavy-weight operations like servicing misses and performing write backs. We evaluate several design decisions in Bankshot including different cache management policies and different levels of hardware, software support for tracking dirty data and maintaining meta-data. We find that with hardware support Bankshot can offer upto 5x speedup over conventional caching systems.
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爆款:在快速非易失性存储器中缓存慢速存储器
新兴的非易失性存储(例如,相变存储器,stram)允许以比ssd低一个数量级的延迟访问持久数据。NVM和高密度存储之间的密度和价格差距使得NVM在经济上最适合作为更大、更传统的存储(即基于NAND闪存的ssd和磁盘)的缓存。现有的存储缓存架构(即使是那些使用基于快速闪存的ssd的架构)引入了大量的软件开销,这可能会掩盖更快内存的性能优势。我们提出了Bankshot,这是一种缓存架构,它允许缓存命中完全绕过操作系统(以及相关的软件开销),而依赖于操作系统进行诸如服务失误和执行回写等重量级操作。我们在Bankshot中评估了几个设计决策,包括不同的缓存管理策略和不同级别的硬件、软件对跟踪脏数据和维护元数据的支持。我们发现,在硬件支持下,Bankshot可以提供比传统缓存系统快5倍的速度。
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