Switch$\Delta$: Asynchronous Metadata Updating for Distributed Storage with in-Network Data Visibility

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Authors: Junru Li, Qing Wang, Zhe Yang, Shuo Liu, Jiwu Shu, Youyou Lu
Cited by: 0
References: 58

Abstract

Distributed storage systems typically maintain strong consistency between data nodes and metadata nodes by adopting ordered writes: 1) first installing data; 2) then updating metadata to make data visible.We propose SwitchDelta to accelerate ordered writes by moving metadata updates out of the critical path. It buffers in-flight metadata updates in programmable switches to enable data visibility in the network and retain strong consistency. SwitchDelta uses a best-effort data plane design to overcome the resource limitation of switches and designs a novel metadata update protocol to exploit the benefits of in-network data visibility. We evaluate SwitchDelta in three distributed in-memory storage systems: log-structured key-value stores, file systems, and secondary indexes. The evaluation shows that SwitchDelta reduces the latency of write operations by up to 52.4% and boosts the throughput by up to 126.9% under write-heavy workloads.

Fields of Study & Subjects

Advanced Data Storage Technologies Cloud Computing and Resource Management Distributed systems and fault tolerance

Publication details

Journal / source
2026 IEEE 42nd International Conference on Data Engineering (ICDE)
Publisher
IEEE
Pages
322–335
Publication date
1 May 2026