{"id":3609,"date":"2026-11-01T10:01:00","date_gmt":"2026-11-01T02:01:00","guid":{"rendered":"https:\/\/www.gxcom.net\/"},"modified":"2026-11-01T10:01:00","modified_gmt":"2026-11-01T02:01:00","slug":"vps-disk-iops-throughput","status":"publish","type":"post","link":"https:\/\/www.gxcom.net\/zh\/vps-disk-iops-throughput\/","title":{"rendered":"VPS \u78c1\u76d8 IOPS \u4e0e\u541e\u5410\u91cf\uff1a\u5982\u4f55\u9488\u5bf9\u5b9e\u9645\u5de5\u4f5c\u8d1f\u8f7d\u5bf9\u5b58\u50a8\u8fdb\u884c\u57fa\u51c6\u6d4b\u8bd5"},"content":{"rendered":"

VPS disk IOPS and throughput are two essential storage performance metrics, but they measure different things. A virtual private server may advertise NVMe SSD storage yet still struggle with slow database queries, delayed file operations, or inconsistent application response times.<\/p>\n

The problem is that storage performance depends on more than drive technology. Random I\/O, sequential transfer speed, latency, queue depth, and shared infrastructure limits all influence real-world results.<\/p>\n

This guide explains how to benchmark VPS storage safely, interpret the numbers, identify bottlenecks, and decide when a hosting upgrade makes sense.<\/p>\n

\"VPS<\/p>\n

What Are VPS Disk IOPS?<\/h2>\n

IOPS stands for input\/output operations per second. It measures how many individual storage operations a system completes each second.<\/p>\n

IOPS matters when applications perform numerous small reads and writes. Common examples include database queries, metadata operations, session storage, and transactional workloads.<\/p>\n

Random IOPS describes operations accessing scattered storage locations. Sequential I\/O involves reading or writing larger, continuous blocks.<\/p>\n

A database server may depend heavily on random read latency, while a backup process may benefit more from sustained sequential transfer rates.<\/p>\n

\u4ec0\u4e48\u662f\u78c1\u76d8\u541e\u5410\u91cf\uff1f<\/h2>\n

Disk throughput measures the volume of data transferred over time, usually expressed in MB\/s or GB\/s.<\/p>\n

For example, transferring large backup files emphasizes throughput. Processing thousands of small database operations emphasizes IOPS and latency.<\/p>\n

The approximate relationship is:<\/p>\n

Throughput = IOPS \u00d7 I\/O block size<\/strong><\/p>\n

At 10,000 IOPS with 4 KiB blocks, throughput is approximately 39 MiB\/s. At the same IOPS with larger blocks, the transferred data volume increases.<\/p>\n

However, real systems are constrained by controller behavior, caching, networked storage, virtualization, and workload characteristics.<\/p>\n

IOPS vs Throughput vs Latency<\/h2>\n

These three metrics should be evaluated together.<\/p>\n\n\n\n\n\n\n\n
\u516c\u5236<\/th>\n\u63aa\u65bd<\/th>\n\u91cd\u8981\u63d0\u793a\uff1a<\/th>\n<\/tr>\n<\/thead>\n
IOPS<\/td>\n\u6bcf\u79d2\u8fd0\u7b97\u6b21\u6570<\/td>\nDatabases and small-file workloads<\/td>\n<\/tr>\n
\u541e\u5410\u91cf<\/td>\n\u6bcf\u79d2\u4f20\u8f93\u7684\u6570\u636e\u91cf<\/td>\nBackups and large files<\/td>\n<\/tr>\n
\u5ef6\u8fdf<\/td>\nTime required per operation<\/td>\n\u4ea4\u4e92\u5f0f\u5e94\u7528\u7a0b\u5e8f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

High IOPS achieved with excessive queue depth may still produce poor application responsiveness. Low latency under realistic concurrency is often more valuable than an impressive maximum benchmark score.<\/p>\n

For background on storage technologies, read our NVMe VPS vs SSD Performance guide<\/strong><\/a>.<\/p>\n

How to Benchmark VPS Storage with fio<\/h2>\n

fio<\/code> is a flexible Linux I\/O testing tool that can measure random and sequential performance using configurable workloads.<\/p>\n

\u91cd\u8981\u63d0\u793a\uff1a<\/strong> Run benchmarks only on storage you own or are authorized to test. Use a disposable test file, avoid busy production periods, and confirm available disk space. Never benchmark a raw production block device destructively.<\/p>\n

Step 1: Install fio<\/h3>\n

On Debian or Ubuntu:<\/p>\n

sudo apt update\nsudo apt install fio<\/code><\/pre>\n
On compatible RHEL-based distributions, install the package through the appropriate system package manager.<\/p>\n
Step 2: Test Random Read IOPS<\/h3>\n
Create a dedicated test directory on the filesystem being evaluated:<\/p>\n
mkdir -p ~\/storage-test<\/code><\/pre>\n
Then run a bounded random-read benchmark using a temporary file:<\/p>\n
fio --name=randread \\\r\n--directory=$HOME\/storage-test \\\r\n--filename=fio-test.dat \\\r\n--size=1G \\\r\n--rw=randread \\\r\n--bs=4k \\\r\n--ioengine=libaio \\\r\n--direct=1 \\\r\n--iodepth=16 \\\r\n--runtime=30 \\\r\n--time_based \\\r\n--group_reporting<\/code><\/pre>\n
This command creates or uses a 1 GB test file and measures 4 KiB random reads. It is a starting point, not a complete storage certification.<\/p>\n
Review reported IOPS, bandwidth, and completion latency. Results depend on filesystem, storage limits, queue depth, and cache behavior.<\/p>\n
Step 3: Test Sequential Throughput<\/h3>\n
For a separate sequential-read test, change the workload:<\/p>\n
fio --name=seqread \\\r\n--directory=$HOME\/storage-test \\\r\n--filename=fio-test.dat \\\r\n--size=1G \\\r\n--rw=read \\\r\n--bs=1M \\\r\n--ioengine=libaio \\\r\n--direct=1 \\\r\n--iodepth=4 \\\r\n--runtime=30 \\\r\n--time_based \\\r\n--group_reporting<\/code><\/pre>\n
Use read-only workloads for initial investigation. Write tests can affect performance, consume storage endurance, and interfere with applications.<\/p>\n
After testing, remove only the dedicated temporary test file when it is no longer needed.<\/p>\n
Monitor Disk Activity with iostat<\/h2>\n
Benchmarks show performance under a generated workload. Monitoring reveals what happens during normal application activity.<\/p>\n
Install the sysstat<\/code> package if necessary, then run:<\/p>\n
iostat -xz 1 10<\/code><\/pre>\n
Examine read\/write throughput, operations per second, queue behavior, and average request latency.<\/p>\n
Metrics such as r_await<\/code> \u4ee5\u53ca w_await<\/code> help identify delayed storage requests. Interpret device utilization carefully because modern SSDs can process concurrent operations.<\/p>\n
Compare these readings with database slow queries, application latency, and CPU or memory pressure.<\/p>\n
Why NVMe VPS Storage Can Still Be Slow<\/h2>\n
NVMe technology supports efficient storage access, but a VPS may encounter additional limits:<\/p>\n