Huawei OceanStor 5600 V3 Data Storage with 64 GB to 512 GB System Cache  

Offer a cloud architecture-oriented operating system, high-performance hardware platform, and a complete suite of smart management software.

Scalable to eight controllers, 1 TB cache, 7.5 PB storage capacity, with a variety of interfaces, including 16 Gbit/s FC, 56 Gbit/s InfiniBand, PCIe 3.0, 12 Gbit/s SAS, and smart I/O cards.

Perfect storage systems for large OLTP/OLAP databases, file sharing, and cloud computing in the government, finance, telecom, energy, and media industries.

Huawei storage with Intel® Xeon® processor.

Intel, the Intel logo, Xeon, and Xeon Inside are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.

Huawei OceanStor 5300, 5500, 5600, and 5800 V3 midrange storage systems are next-generation unified storage products specifically designed for enterprise-class applications. Employing a storage operating system built on a cloud-oriented architecture, a powerful new hardware platform, and a suite of intelligent management software, the V3 mid-range storage systems deliver industry-leading functionality, performance, efficiency, reliability, and ease-of-use.

The V3 mid-range storage systems are ideal for applications such as large-database Online Transaction Processing (OLTP)/Online Analytical Processing (OLAP), file sharing, and cloud computing. Further, these systems offer a wide range of efficient backup and disaster recovery solutions.

With a versatile set of capabilities, the V3 mid-range storage systems can be widely applied in industries ranging from government, finance, telecommunications, energy, to Media and Entertainment (M&E).

Cloud-Oriented Storage Software

Multiple Controllers
•Scale-out capability: Allows resources to be linearly expanded online to a maximum of eight controllers, 1 TB of cache, and 7.5 PB of storage capacity.
•Load balancing: Implements load balancing among controllers and eliminates single points of failure to ensure high system availability and the stability of online services. Multiple controllers concurrently process the same host service to smash the performance bottleneck of a single controller, significantly improving service processing efficiency.

Convergence
•Convergence of SAN and NAS: Provides elastic storage, simplifies service deployment, improves storage resource utilization, and reduces Total Cost of Ownership (TCO). Underlying storage resource pools
provide both block and file services and shorten storage resource access paths to ensure that the two services are equally efficient.

•Convergence of heterogeneous storage systems:A built-in virtualization function efficiently manages storage systems from multiple vendors and unifies resource pools for flexible, centralized resource allocation.

•Convergence of high-end, mid-range, and entry-level storage systems:Any size system interworks seamlessly so data can freely flow among storage products of different models without the assistance of third-party systems.
•Convergence of SSDs and HDDs: Combining the advantages of rotating media and solid-state storage, the systems offer an optimal balance of performance and cost.
•Convergence of primary and backup storage: Integrated backup functions achieve efficiency without additional backup software, simplifying backup management.

Intelligence
•Multi-tenant and Service Level Agreement (SLA): Enable intelligent allocation of storage resources in cloud computing environments. The systems apply data isolation functions and data security policies such as data encryption and reliable destruction of obsolete data. With four service levels, the systems allocate storage resources based on service priorities. High-priority services thus get an assured preference for system resources that minimizes response times.
•Smart series efficiency improvement suite: Leverages dynamic storage tiering (SmartTier), intelligent data migration (SmartMotion), and innovative heterogeneous virtualization (SmartVirtualization) to achieve vertical, horizontal, and cross-system 3D data flow, significantly improving storage resource utilization.
•Hyper series data protection suite: Software for functions such as remote replication, snapshot, and LUN copy provide local, remote, and multi-branch data protection to ensure business continuity and data availability.
•Advanced active-active solution: HyperMetro implements activeactive mirroring with load balancing and cross-site takeover without service interruption, preventing data loss and system breakdown from occurring in critical application systems. The gateway-free design can effectively reduce the purchase cost, simplify the deployment, and enable the active-active solution to be smoothly upgraded to the Disaster Recovery Data Center Solution (Geo-Redundant Mode).

Easy to Manage
•Unified management: Powerful storage management software supports global topology views, capacity analysis, performance analysis, fault diagnosis, and end-to-end service visualization to simplify management of a wide range of devices.
•Mobile management: Tablet and smartphone Apps allow management of storage systems in real time. System status can be sent automatically, making constant attendance by an engineer unnecessary.
•Convenient management: Initial configuration occurs in five steps, which takes about 40 seconds, and system expansion involves two steps, which takes about 15 seconds.

Industry-leading Storage Hardware

•Outstanding performance: V3 mid-range storage systems employ the latest Intel multi-core processors, 16 Gbit/s Fiber Channel, 10 Gbit/s FCoE, and 56 Gbit/s InfiniBand host ports, PCIe 3.0 buses, and 12 Gbit/s SAS 3.0 disk ports. System bandwidth as high as 28 GB/s efficiently handles video and other large files, and supports million-level IOPS performance.

•Exclusive SmartIO cards: Each SmartIO card supports 8 Gbit/s Fibre Channel, 16 Gbit/s Fibre Channel, 10 Gbit/s Ethernet and 10 Gbit/s FCoE.

•Industry-leading deduplication/compression cards: The systems support hardware-based lossless data deduplication and compression, efficiently reducing data storage costs.