An Efficient Framework for Implementing Persist Data Structures on Remote NVM
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The byte-addressable Non-Volatile Memory (NVM) is a promising technology since it simultaneously provides DRAM-like performance, disk-like capacity, and persistency. In this paper, we rethink the current symmetric NVM deployment which directly attaches NVM devices with servers. Following the trend of disaggregation, we propose rNVM, a new asymmetric deployment of NVM devices, that decouples servers from persistent data storage. In this architecture, the NVM devices can be shared by multiple servers and provide recoverable persistent data structures. We develop a prototype of rNVM leveraging the advantages of the powerful RDMA-enabled network that naturally fits the asymmetric deployment model. With several optimizations, we demonstrate that rNVM can achieve comparable performance as symmetric deployment while enjoying the benefits of the large data size not limited by local memory, high availability and shared data structures. Specifically, thanks to operation batching, local memory caching and efficient concurrency control, the throughput of operations on eight widely used data structures is improved by 6∼22 × without lowering the consistency promising.
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