- What's New
- Function Overview
- Service Overview
- Getting Started
- User Guide
- Best Practices
- API Reference
- SDK Reference
- Troubleshooting
-
FAQs
- Concepts
- Specifications
- Restrictions
- Networks
- Billing
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Others
- How Do I Access a File System from a Server?
- How Do I Check Whether a File System on a Linux Server Is Available?
- What Resources Does SFS Occupy?
- Can a File System Be Accessed Across Multiple AZs?
- How Can I Migrate Data Between SFS and EVS?
- Can I Directly Access SFS from On-premises Devices?
- How Do I Delete .nfs Files?
- How Can I Improve the Copy and Delete Efficiency with an SFS Turbo File System?
- How Do Second- and Third-level Directory Permissions of an SFS Turbo File System Be Inherited?
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File System Types
SFS provides SFS Turbo file systems, which are further classified into SFS Turbo Standard, SFS Turbo Standard – Enhanced, SFS Turbo Performance, and SFS Turbo Performance – Enhanced.
The following table describes the features, advantages, and application scenarios of these file system types.
File System Type |
Storage Class |
Feature |
Highlight |
Application Scenario |
---|---|---|---|---|
SFS Turbo |
SFS Turbo Standard |
|
Low latency and tenant exclusive |
Workloads dealing with massive small files, such as code storage, log storage, web services, and virtual desktop |
SFS Turbo Standard - Enhanced |
|
Low latency, high bandwidth, and tenant exclusive |
Workloads dealing with massive small files and those requiring high bandwidth, such as code storage, file sharing, enterprise office automation (OA), and log storage. |
|
SFS Turbo Performance |
|
Low latency, high IOPS, and tenant exclusive |
Workloads dealing with massive small files, and random I/O-intensive and latency-sensitive services, such as high-performance websites, file sharing, and content management |
|
SFS Turbo Performance - Enhanced |
|
Low latency, high IOPS, high bandwidth, and tenant exclusive |
Workloads dealing with massive small files, and latency-sensitive and bandwidth-demanding workloads, such as image rendering, AI training, and enterprise OA. |
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