DynaMast: Adaptive Dynamic Mastering for Replicated Systems

Abstract

Single-master replicated database systems strive to be scalable by offloading reads to replica nodes. However, single-master systems suffer from the performance bottleneck of all updates executing at a single site. Multi-master replicated systems distribute updates among sites but incur costly coordination for multi-site transactions. We present DynaMast, a lazily replicated, multi-master database system that guarantees one-site transaction execution while effectively distributing both reads and updates among multiple sites. DynaMast benefits from these advantages by dynamically transferring the mastership of data, or remastering, among sites using a lightweight metadata-based protocol. DynaMast leverages remastering to adaptively place master copies to balance load and minimize future remastering. Using benchmark workloads, we demonstrate that DynaMast delivers superior performance over existing replicated database system architectures.