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CubeFS v3.1.0 Official Release
Summary
CubeFS v3.1.0 introduces the following key features to support more business scenarios:
- Enhanced multi-level read cache for hybrid cloud, improving AI hybrid cloud training acceleration
- Support for volume-level QoS flow control, solving resource allocation issues in multi-tenant scenarios
- Support for dual-replica, meeting the cost reduction demand for businesses with low data durability requirements
Version link: https://github.com/cubefs/cubefs/releases/tag/v3.1.0
Feature Introduction
Enhanced Multi-Level Read Cache Acceleration for Hybrid Cloud
- Supports directory-level data caching
- Supports metadata caching
- Removed the "enableBcache" configuration item and added the "bcacheDir" configuration item, changing the data caching feature from "on/off" mode to "specified directory" mode
- Added the "maxStreamerLimit" configuration item to specify the number of file metadata cache entries
Volume-Level QoS Flow Control
- Supports flow control of read/write bandwidth and IOPS at the volume/disk granularity
- Uses high-precision flow control algorithm, which can handle traffic bursts and support smooth flow control
Dual-Replica Data
- Dual-replica adopts a strong consistency replication protocol that supports modification writing
- Supports updating the existing three-replica volume to a two-replica type (newly written data will be two-replica)
Future Version Plans
Version roadmap is available at: https://github.com/CubeFS/CubeFS/blob/master/ROADMAP.md
Preview of v3.2.0 update:
Simplify the erasure coding subsystem (blobstore) module and merge the code with the CubeFS repository Optimize the data migration algorithm of the three-replica subsystem to improve stability
In addition, we would like to thank the community members who have contributed to the design and development of this version:
- Xiaochun He，https://github.com/xiaochunhe
- Hongyan Wang，https://github.com/jadewang198510
- Tianjiong Zhang，https://github.com/tianjiongzhang
- Chi He，https://github.com/bboyCH4
- Liang Chang ，https://github.com/leonrayang
- Xuewei Zeng，https://github.com/Victor1319
- zhangpeng，https://github.com/zphj1987