Sudarsun Kannan, University of Wisconsin-Madison; Nitish Bhat and Ada Gavrilovska, Georgia Tech; Andrea Arpaci-Dusseau and Remzi Arpaci-Dusseau, University of Wisconsin-Madison
We present NoveLSM, a persistent LSM-based key-value storage system designed to exploit non-volatile memories and deliver low latency and high throughput to applications. We utilize three key techniques – a byte- addressable skip list, direct mutability of persistent state, and opportunistic read parallelism – to deliver high performance across a range of workload scenarios. Our analysis with popular benchmarks and real-world workload reveal up to a 3.8x and 2x reduction in write and read access latency compared to LevelDB. Storing all the data in a persistent skip list and avoiding block I/O provides more than 5x and 1.9x higher write throughput over LevelDB and RocksDB. Recovery time improves substantially with NoveLSM’s persistent skip list.
Open Access Media
USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.