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The cloud infrastructure motivates disaggregation of monolithic data storesinto components that are assembled together based on an application's workload.This study investigates disaggregation of an LSM-tree key-value store intocomponents that communicate using RDMA. These components separate storage fromprocessing, enabling processing components to share storage bandwidth andspace. The processing components scatter blocks of a file (SSTable) across anarbitrary number of storage components and balance load across them usingpower-of-d. They construct ranges dynamically at runtime to parallelizecompaction and enhance performance. Each component has configuration knobs thatcontrol its scalability. The resulting component-based system, Nova-LSM, iselastic. It outperforms its monolithic counterparts, both LevelDB and RocksDB,by several orders of magnitude with workloads that exhibit a skewed pattern ofaccess to data.

Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store