Help Center/ Elastic Volume Service/ Service Overview/ Disk Types and Performance
Updated on 2025-09-23 GMT+08:00

Disk Types and Performance

EVS disks are classified based on the disk I/O performance. EVS disks differ in performance and price. You can choose whichever disk type that is the best fit for your applications.

EVS Performance

EVS performance metrics include:
  • IOPS: The number of read/write operations performed by an EVS disk per second.
  • Throughput: The amount of data read from and written into an EVS disk per second.
  • Read/write I/O latency: The minimum interval between two consecutive read/write operations on an EVS disk.
    • The performance of an EVS disk is not only restricted by its specifications. It is also limited by the storage QoS of the instance that disk is attached to. For details, see Instance QoS.
    • The max. IOPS, max. throughput, and burst IOPS limit provided in Table 1 are subject to factors like instance specifications, workload, network environment, and data block size. They have no Service Level Agreement (SLA) commitments. You are advised to test disk performance based on service scenarios.
    • You can submit a service ticket to increase the maximum capacity of a data disk to 65,536 GiB.
Table 1 EVS performance data

Parameter

Extreme SSD

Ultra-high I/O

General Purpose SSD

High I/O

Max. capacity (GiB)

  • System disk: 1,024
  • Data disk: 32,768
  • System disk: 1,024
  • Data disk: 32,768
  • System disk: 1,024
  • Data disk: 32,768
  • System disk: 1,024
  • Data disk: 32,768

Short description

Superfast disks for workloads demanding ultra-high bandwidth and ultra-low latency

High-performance disks excellent for enterprise mission-critical services as well as workloads demanding high throughput and low latency

Cost-effective disks designed for enterprise applications with medium performance requirements

Disks suitable for non-frequently accessed, latency-insensitive workloadsf

Typical use cases

  • Databases
    • Oracle
    • SQL Server
    • ClickHouse
  • AI workloads
  • Transcoding services
  • I/O-intensive workloads
    • NoSQL
    • Oracle
    • SQL Server
    • PostgreSQL
  • Latency-sensitive applications
    • Redis
    • Memcache
  • Enterprise OA
  • Medium-scale development and test environments
  • Small- and medium-sized databases
  • Web applications
  • System disks

Common development and test environments

Max. IOPSa

128,000

50,000

20,000

5,000

Max. throughputa (MiB/s)

1,000

350

250

150

Burst IOPS limita

64,000

16,000

8,000

5,000

Disk IOPS calculation formulac. Capacity unit in the formula: GiB

IOPS limit = Min. (128,000, 1,800 + 50 × Capacity)

IOPS limit = Min. (50,000, 1,800 + 50 × Capacity)

IOPS limit = Min. (20,000, 1,800 + 12 × Capacity)

IOPS limit = Min. (5,000, 1,800 + 8 × Capacity)

Disk throughput calculation formulab (MiB/s). Capacity unit in the formula: GiB

Throughput limit = Min. (1,000, 120 + 0.5 × Capacity)

Throughput limit = Min. (350, 120 + 0.5 × Capacity)

Throughput limit = Min. (250, 100 + 0.5 × Capacity)

Throughput limit = Min. (150, 100 + 0.15 × Capacity)

Single-queue access latencyd

Sub-milliseconds

1 ms

1 ms

1–3 ms

API namee

ESSD

SSD

GPSSD

SAS

a: The maximum IOPS, maximum throughput, and burst IOPS limit all include both read and write operations. So, maximum IOPS = read IOPS + write IOPS.

b: Take ultra-high I/O for example: The baseline throughput is 120 MiB/s. The throughput increases by 0.5 MiB/s for every one GiB added until it reaches the maximum throughput 350 MiB/s. Min in the formula indicates that the smaller value between the two values is used.

c: Take ultra-high I/O for example: The baseline IOPS is 1,800. The IOPS increases by 50 for every one GiB added until it reaches the maximum IOPS 50,000. Min in the formula indicates that the smaller value between the two values is used.

d: A single queue indicates that the queue depth or concurrency is 1. The single-queue access latency is the I/O latency when all I/O requests are processed sequentially. The values in the table are calculated with 4 KiB data blocks.

e: This API name is the value of the volume_type parameter in the EVS API. It does not represent the type of the underlying hardware device.

f: High I/O disks (except for those created in dedicated storage pools) are HDD-backed disks. They are suitable for applications with commonly accessed, latency-insensitive workloads. The baseline throughput of a High I/O disk is 40 MiB/s per TiB, and the maximum throughput of a High I/O disk is 150 MiB/s. If your applications have high workloads and are latency-sensitive, it is recommended that you choose SSD-backed disks which have higher specifications.

EVS disk performance is closely related with the data block size:

  • If data blocks are all the same size, a disk can achieve either the maximum IOPS or maximum throughput depending on which one is reached first.
  • If data blocks are of different sizes, the maximum performance metric that a disk can achieve varies:
    • For small data blocks, such as 4 KiB or 8 KiB, a disk can reach the maximum IOPS.
    • For data blocks of a large size, 16 KiB or greater, a disk can reach the maximum throughput.

Table 2 uses an ultra-high I/O disk as an example. In theory, when the size of an ultra-high I/O disk is at least 964 GiB, the disk theoretically can reach either the maximum IOPS 50,000 or the maximum throughput 350 MiB/s. However, this is not the case in practice. The maximum IOPS and maximum throughput that a disk can reach also vary with the data block size.

Table 2 Maximum performance of an ultra-high I/O EVS disk

Data Block Size (KiB)

Max. IOPS

Max. Throughput (MiB/s)

4

About 50,000

About 195

8

About 44,800

About 350

16

About 22,400

About 350

32

About 11,200

About 350

Disk IOPS Calculation Formula

Disk IOPS limit = Min. (Maximum IOPS, Baseline IOPS + IOPS per GiB × Capacity)

Take an ultra-high I/O EVS disk with a maximum IOPS of 50,000 for example.
  • If the disk capacity is 100 GiB, the disk IOPS limit is calculated as follows: Disk IOPS limit = Min. (50,000, 1,800 + 50 × 100)

    The disk IOPS limit is 6,800, the smaller of the two values (50,000 and 6,800).

  • If the disk capacity is 1,000 GiB, the disk IOPS limit is calculated as follows: Disk IOPS limit = Min. (50,000, 1,800 + 50 × 1,000)

    The disk IOPS limit is 50,000, the smaller of the two values (50,000 and 51,800).

Disk Burst Capability and Principles

EVS disks have a burst capability. A small-capacity disk can surpass its official maximum IOPS for a short period of time. This IOPS applies to each disk individually.

Disks with burst capability are well-suited for speeding up server startup. In most cases, system disks are fairly small, so their basic IOPS is fairly low. For example, the IOPS of a 50-GiB ultra-high I/O disk without burst can only reach up to 4,300 IOPS (Min. (50,000, 1,800 + 50 × Capacity)). But with burst capability, its IOPS can burst up to 16,000.

The following example uses an ultra-high I/O EVS disk with the IOPS burst limit of 16,000.
  • If the disk capacity is 100 GiB, the disk has a maximum IOPS of 6,800, but it can temporarily burst to 16,000 IOPS.
  • If the disk capacity is 1,000 GiB, the disk has a maximum IOPS of 50,000. The disk maximum IOPS already exceeds its burst IOPS 16,000, and the disk does not use the burst capability.

The following describes the burst IOPS consumption and reservation.

A token bucket is used to handle burst I/O operations. The number of initial tokens in the bucket is calculated as follows:

Number of initial tokens = Burst duration × IOPS burst limit

In the following example, a 100-GiB ultra-high I/O EVS disk is used, and the fixed burst duration is 1800 seconds. Therefore, the number of initial tokens is 28,800,000 (1,800 × 16,000).
  • Token production rate: This rate equals the disk maximum IOPS, which is 6,800 tokens/s.
  • Token consumption rate: This rate is based on the I/O usage. Each I/O request consumes a token. The maximum consumption rate is 16,000 tokens/s, which is the larger value of the disk burst IOPS and the maximum IOPS.

Consumption principles

When tokens are consumed faster than they are produced, the number of tokens decreases accordingly, and eventually the disk IOPS will be consistent with the token production rate (the maximum IOPS). In this example, the disk can burst for approximately 3,130 seconds (28,800,000/(16,000 - 6,800)).

Reservation principles

When tokens are consumed more slowly than they are produced, the number of tokens increases accordingly, and the disk regains burst capability. In this example, if the disk is suspended for approximately 4,235 seconds (28,800,000/6,800), the token bucket will be filled up with tokens.

As long as there are tokens in the token bucket, the disk has the burst capability.

Figure 1 shows the token consumption and reservation principles. The blue bars indicate the disk IOPS usage, the green dashed line represents the maximum IOPS, the red dashed line indicates the IOPS burst limit, and the black curve indicates the changes of the number of tokens.
  • As long as there are tokens, the disk IOPS can exceed 6,800 and can burst up to 16,000, the IOPS burst limit.
  • When there are no more tokens, the disk loses the burst capability, and the disk IOPS can reach up to 6,800.
  • Anytime the disk IOPS is less than 6,800, the number of tokens starts to increase, and the disk regains the burst capability.
Figure 1 Burst capability diagram

Instance QoS

ECSs support instance-level storage I/O isolation. Each instance (ECS) enjoys their storage bandwidth and IOPS exclusively. This prevents resource contention between the ECSs during peak hours.

Scenario 1: If the total performance of EVS disks on an instance exceeds the storage I/O capabilities of the instance flavor, the instance flavor's storage I/O capabilities are used. If the instance has multiple EVS disks, the storage I/O performance is dynamically allocated to the EVS disks based on a contention mechanism.

Example 1: A customer purchases an ECS that offers up to 2,688 MiB/s (21 Gbit/s) storage bandwidth. The ECS has ten 1,000 GiB Ultra-high I/O EVS disks, each of which offers a maximum bandwidth of 350 MiB/s. So, the total maximum bandwidth of the ten disks is 3,500 MiB/s, which already exceeds the maximum storage bandwidth of the instance (2,688 MiB/s). In this case, the 3,500 MiB/s bandwidth cannot be reached.

Example 2: A customer purchases an ECS that offers up to 130,000 IOPS. The ECS has three 8 TiB Ultra-high I/O EVS disks, each of which offers a maximum IOPS of 50,000. So, the total maximum IOPS of the three disks is 150,000, which already exceeds the maximum IOPS of the instance (130,000). In this case, the maximum storage IOPS of the disks can only reach 130,000, not 150,000.

Scenario 2: If the total performance of EVS disks on an instance is less than the storage I/O capabilities of the instance flavor, the disks' storage performance is used.

Example: A customer purchases an ECS that offers up to 2,688 MiB/s (21 Gbit/s) storage bandwidth. The ECS has three 100 GiB Ultra-high I/O EVS disks, each of which offers a maximum bandwidth of 170 MiB/s. So, the total maximum bandwidth of the three disks is 510 MiB/s, which is less than the maximum storage bandwidth of the instance (2,688 MiB/s). In this case, the 2,688 MiB/s bandwidth cannot be reached.

Performance Testing

For details about how to test the EVS disk performance, see How Do I Test My Disk Performance?