High-Availability Applications - Huawei OceanStor 2600 V3 Product Description

OceanStor 2600 V3
Product Description

3.2 High-Availability Applications

The OceanStor 2600 V3 storage system has a highly reliable design, achieving a long mean
time between failures (MTBF), and ensuring high availability of storage applications. It also
incorporates a variety of data protection technologies, and protects data integrity and service
continuity against catastrophic disasters.
In-Service Routine Maintenance
In traditional storage systems, routine maintenance tasks, such as component replacement and
capacity expansion, must be implemented in offline mode. The OceanStor 2600 V3 storage
system, however, assembles advanced technologies for in-service routine maintenance:
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Tolerance of Single Points of Failures
The OceanStor 2600 V3 storage system incorporates a hierarchical redundancy design to
eliminate the impact of single points of failure:
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Based on the previous protection mechanisms, the storage system has proven tolerance of
single points of failure, as shown in
Issue 09 (2019-05-15)
Turbo Module
Enables online replacement of components and requires no system restart.
Online capacity expansion
Allows online addition of disks and expansion of storage pools.
Hardware redundancy
All components of the storage system are in redundancy and work in active-active mode.
If one component fails, the other speeds up to compensate so that the storage system can
continue operating.
Link redundancy
If there is only one link between the storage system and an application server, the
disconnection of the link terminates their communication in between. To eliminate this
failure, the storage system uses two or more links to communicate with the application
server. Therefore, if one link is down, the other links take over the services to continue
the data transmission.
Application server clustering
If the storage system cooperates with only one application server, the failure of the
application server interrupts services. Application server clustering can address this
issue. A cluster consists of two or more application servers that share loads. If one
application server in the cluster fails, the other application servers take over its loads, and
the whole process is transparent to users. Application server clustering supported by the
storage system ensures business continuity.
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Figure 3-2.
3 Typical Applications
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