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feat(doc): Update the document of the roadmap

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Signed-off-by: leonrayang <changliang@oppo.com>
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leonrayang 2024-04-30 15:20:49 +08:00 committed by Victor1319
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ROADMAP.md
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# Roadmap of 2024
### Release scheduled
|Feature|Type|Version|Status|Branch|Scheduled Release Date|Details|
|Feature|Type|Version|Status|Development branch|Scheduled Release Date|Details|
|:----|:----|:----|:----|:----|:----|:----------------|
|Automatic migration|Stability|Release-3.4.0|QA Testing|develop-v3.4.0|JUNE|Automatic disk migration reduces the atomicity problem of metadata information during the migration process and improves the level of operational automation.|
|Snapshot|Feature|Release-3.4.0|QA Testing|develop-v3.4.0|JUNE|Provides an experimental version of the volume snapshot feature, supporting second-level snapshots|
|Hybrid Cloud automatic<br>data hierarchy<br>|cost<br>optimization<br>|Release-3.5.0|QA Testing|develop-hybridcloudlifecycle|JULY|Hybrid cloud projects support a unified namespace, provide the ability to use multiple storage systems in a mixed manner, and provide external S3 and HDFS capabilities. Support life cycle driven data flow between different media, storage types, and on and off the cloud, reducing costs and increasing efficiency. The first issue will be released soon.|
|Hybrid Cloud automatic<br>data hierarchy<br>|Feature|Release-3.5.0|QA Testing|develop-hybridcloudlifecycle|JULY|Hybrid cloud projects support a unified namespace, provide the ability to use multiple storage systems in a mixed manner, and provide external S3 and HDFS capabilities. Support life cycle driven data flow between different media, storage types, and on and off the cloud, reducing costs and increasing efficiency. The first issue will be released soon.|
|Distributed Cache|Feature|Release-3.6.0|SELF-Testing/Unit<br>Test|flash_cache|AUG|Further optimize the distributed multi-level cache architecture to support cross-computer room and cross-cloud read and write acceleration capabilities to support AI training acceleration needs.|
|Metanode<br>persist with rocksdb|cost<br>optimization<br>|Release-3.6.0|SELF-Testing/Unit<br>Test|metanode_rocksdb_dev|AUG|The cost of massive metadata is relatively high and can satisfy most scenarios.It is possible to reduce metadata storage costs by over 70%.|
|RDMA|Performance|Release-3.6.0|SELF-Testing/Unit<br>Test|cubefs-rdma|AUG|Writing acceleration, making full use of hardware capabilities.It is possible to increase read and write throughput by over 30%.|
|Kernel FileSystem Client<br>And GPU Direct Storage|Performance|Release-3.7.0|SELF-Testing/Unit<br>Test<br>|cubefs-kernel-rdma|OCT|Provides a kernel client and supports GDS (GPU Direct Storage) and RDMA technology to reduce IO latency and CPU overhead.|
|Call Chain|Feature|Release-3.7.0|SELF-Testing/Unit<br>Test|blobstore-tracelog|OCT|Improve issue tracking capability|
|Metanode<br>persist with rocksdb|Enhancement|Release-3.6.0|SELF-Testing/Unit<br>Test|metanode_rocksdb_dev|AUG|The cost of massive metadata is relatively high and can satisfy most scenarios.It is possible to reduce metadata storage costs by over 70%.|
|RDMA|Feature|Release-3.6.0|SELF-Testing/Unit<br>Test|cubefs-rdma|AUG|Writing acceleration, making full use of hardware capabilities.It is possible to increase read and write throughput by over 30%.|
|Kernel FileSystem Client<br>And GPU Direct Storage|Feature|Release-3.7.0|SELF-Testing/Unit<br>Test<br>|cubefs-kernel-rdma|OCT|Provides a kernel client and supports GDS (GPU Direct Storage) and RDMA technology to reduce IO latency and CPU overhead.|
|Call Chain|Enhancement|Release-3.7.0|SELF-Testing/Unit<br>Test|blobstore-tracelog|OCT|Improve issue tracking capability|
|Disk CRC enhancement|Stability|Release-3.7.0|SELF-Testing/Unit<br>Test|blobstore-tracelog|OCT|Disk CRC enhancement to improve CRC checking capabilities such as master-slave synchronization and random writing.|