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FusionStorage 8.0.0 Block Storage Product Description 03

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Huawei uses machine translation combined with human proofreading to translate this document to different languages in order to help you better understand the content of this document. Note: Even the most advanced machine translation cannot match the quality of professional translators. Huawei shall not bear any responsibility for translation accuracy and it is recommended that you refer to the English document (a link for which has been provided).
Application Scenarios

Application Scenarios

FusionStorage block storage mainly applies to cloud resource pools and databases.

Cloud Resource Pools

In large-scale cloud computing data centers, FusionStorage block storage organizes resources of general-purpose servers into large block storage resource pools and provides standard block storage data access interfaces (SCSI and iSCSI). FusionStorage block storage can integrate with various cloud platforms, such as Huawei FusionSphere, VMware vSphere, Microsoft Hyper-V, and OpenStack, to allocate storage resources on demand. In addition, FusionStorage block storage supports multiple service applications, including online transaction processing (OLTP), online analytical processing (OLAP), Virtual Server Infrastructure (VSI), virtual desktop infrastructure (VDI), web, and office automation (OA). Figure 4-1 shows the application of FusionStorage block storage in cloud resource pools.

Figure 4-1 Application in cloud resource pools

Databases

For vital enterprise IT infrastructure, FusionStorage block storage interconnects servers using IB networks and adopts key technologies, such as using SSDs as the main storage or cache, to significantly improve storage system performance and reliability. In addition, FusionStorage block storage leverages the high scalability of distributed storage to meet demands of mission-critical databases and key applications, such as ERP and CRM. Figure 4-2 shows the application of FusionStorage block storage in databases.

Figure 4-2 Application in databases
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Updated: 2019-08-19

Document ID: EDOC1100081421

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