Accelerating Distributed Knowledge Graph System Based on Non-Volatile Memory

Author:

Li Yuhang,Li Weiming,Wang Yangyang,Chai Yanfeng,Chai Yunpeng

Publisher

Springer Nature Singapore

Reference23 articles.

1. Sbadger: A fast key-value store written natively in go (2020). https://github.com/dgraph-io/badger

2. Balmau, O., Dinu, F., Zwaenepoel, W., Gupta, K., Chandhiramoorthi, R., Didona, D.: SILK: preventing latency spikes in log-structured merge key-value stores. In: 2019 USENIX Annual Technical Conference, pp. 753–766 (2019)

3. Buragohain, C., et al.: A1: a distributed in-memory graph database. In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, pp. 329–344 (2020)

4. Cao, Z., Dong, S., Vemuri, S., Du, D.H.: Characterizing, modeling, and benchmarking rocksdb key-value workloads at facebook. In: 18th $$\{$$USENIX$$\}$$ Conference on File and Storage Technologies ($$\{$$FAST$$\}$$ 2020), pp. 209–223 (2020)

5. Chai, Y., Chai, Y., Wang, X., Wei, H., Bao, N., Liang, Y.: LDC: a lower-level driven compaction method to optimize SSD-oriented key-value stores. In: 2019 IEEE 35th International Conference on Data Engineering (ICDE), pp. 722–733. IEEE (2019)

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