A scalable and persistent key-value store using non-volatile memory

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Abstract

Non-volatile random-access memory1 has gained recent attention because of its guaranteed data persistence and low data access latency. In-memory key-value stores generally operate by storing log files, which generate disk I/O to prevent data loss from unexpected system failure. As the performance of in-memory key-value stores is bound by disk speed, the advent of NVRAM can be a viable solution to alleviate performance degradation. However, leveraging NVRAM to store entire data is nascent in terms of the cost per capacity. We propose a novel hybrid key-value scheme that consists of NVRAM and dynamic random-access memory, which supports a higher level of data persistence while maintaining high performance. Results from our proposal scheme show outstanding results against NoSQL benchmarks in terms of performance per data persistency. In addition, our scheme provides scalability allowing NVRAM and DRAM to be used without possibility of data loss.

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Kim, D., Choi, W. G., Sung, H., & Park, S. (2019). A scalable and persistent key-value store using non-volatile memory. In Proceedings of the ACM Symposium on Applied Computing (Vol. Part F147772, pp. 464–467). Association for Computing Machinery. https://doi.org/10.1145/3297280.3298991

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