MTASet: A Tree-based Set for Efficient Range Queries in Update-heavy Workloads
Abstract
In concurrent data structures, the efficiency of set operations can vary significantly depending on the workload characteristics. Numerous concurrent set implementations are optimized and fine-tuned to excel in scenarios characterized by predominant read operations. However, they often perform poorly when confronted with workloads that heavily prioritize updates. Additionally, current leading-edge concurrent sets optimized for update-heavy tasks typically lack efficiency in handling atomic range queries. This study introduces the MTASet, which leverages a concurrent (a,b)-tree implementation. Engineered to accommodate update-heavy workloads and facilitate atomic range queries, MTASet surpasses existing counterparts optimized for tasks in range query operations by up to 2x. Notably, MTASet ensures linearizability.
Cite
@article{arxiv.2507.20041,
title = {MTASet: A Tree-based Set for Efficient Range Queries in Update-heavy Workloads},
author = {Daniel Manor and Mor Perry and Moshe Sulamy},
journal= {arXiv preprint arXiv:2507.20041},
year = {2025}
}