今天给大家分享一个会议资料，是5月在美国Santa Clara大学举办的第37届“International Conference on Massive Storage Systems and Technology”，简称MSST（大规模存储系统与技术）。
下载的演讲pdf我先简单过了一遍，感觉质量不错，所以在这里推荐给大家。
MSST 2023会议资料网盘分享
https://pan.baidu.com/s/1f5yK5aj3oHNbm1jsKiA9Aw?pwd=d8cc
提取码：d8cc
官网来源 https://storageconference.us/
下面我会列出每个演讲的技术分类和主题，并争取从对应ppt中截取一页精华。
MSST 2023 Tutorials—Birds of a Feather, Monday, May 22
Large Scale File/Storage System Indexing with the Grand Unified File Index（LANL，Los Alamos国家实验室）
Cybersecure File Shares for Unstructured Data Including Multi-Level Security
Scalable, High-Performance S3 Object Storage on Tape Media
OpenZFS New Features Including Direct/IO and Compression/Erasure Offloads（LANL）
Standards-Based Parallel Global File Systems and Automated Data Orchestration with NFS
MSST 2023 Invited Track, Tuesday, May 23
- CXL
CXL in Data Storage Applications
Rethinking Byte-Accessibility of SSDs from a CXL-Attached Memory and Storage System（Sk Hynix）
- Lustre/ Large Site Report
Lustre Metadata Writeback Caching (Whamcloud)
Storage and Data Management for Science at the Large Hadron Collider at CERN
- Storage Class Memory
Samsung’s CXL-Era Memory Expansion Devices with NAND Flash Media
Post Optane: What comes next for Storage Class Memory (SK Hynix)
Advanced Storage and Memory Hierarchy in AI and HPC with DAOS Storage (Intel)
- Computational Storage
Accelerated Disks and Flashes: LANL's early experience in Speeding Up Analytics Workloads Using Smart Devices (LANL)
NVME/Computational Storage Standards Update (Solidigm)
Computational Storage Solutions Over Fabrics for ZFS (Eideticom)
Current and future SSD architectures for Computational Storage (Samsung)
- Future Cloud
Hyperscale Perspectives on Storage (Meta)
Fifty Shades of S3: Navigating the Gray Areas of API Implementation (Seagate)
MSST 2023 Invited Track, Wednesday, May 24
- Keynote
Data Impact on the Environment
- Inexpensive Large Capacity Storage
Some Questions Relating to Future Archive and Backup Systems (Veritas)
Magnetic Tape Industry Roadmaps (Spectra)
Reducing Costs While Improving Sustainability with Modern Tape Storage
Experiences in Long Term Storage
- Failure at Scale
What Ten Years of Drive Stats Data Can Tell Us(Backblaze)
Analysis and Design Considerations of Multi-level Erasure Coding in Hierarchical Data Centers
MarFS as a Multi-Level Erasure Archive (LANL)
Improving Data Reliability in Exascale Storage Clusters (Google)
作者：唐僧 huangliang
原文：企业存储技术
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