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Huawei Proposes a New Data Storage Concept

architecture would better utilize elastic,
reliable, and cost-effective storage to
facilitate faster, more reliable, and efficient
services at lower costs. Second, there needs
to be more data application acceleration
engines within storage systems. To cope
with diverse data applications, future-
oriented storage is expected to house data
persistently while also providing a way to
build data infrastructure that combines a
data persistence layer with the application
acceleration engine. Emerging data
applications, such as distributed databases,
big data, and AI applications that produce
mass data, are continuing to grow. And so,
future storage systems should be built with
metadata management and intensive data
processing to form diverse data application
acceleration engines, improving end-to-end
processing efficiency by up to 10 times
At the 2022 Innovative Data Infrastructure could cause huge economic loss. Finally, and significantly improving customer
Forum, Huawei proposed a new, innovative innovative green solutions will be needed in experience and operational efficiency. And
storage concept of "building a data-centric, data storage to increase energy efficiency. finally, a green design system will be needed
trustworthy storage foundation for diverse Dr. Peter Zhou, the President of Huawei's to fundamentally improve the product
applications." To continuously build highly IT Product Line, explained at the forum development process. Such a design would
reliable and performant fundamental that Huawei already offers a full series of cover three aspects: green production,
storage technologies., the company has enhanced competitive storage products such as renewable materials; green
announced it will prioritize the development that proactively addressed these changes, products with low-carbon components, like
of decoupled storage-compute including OceanStor Dorado All-Flash NAND flash, high-density hardware design,
architectures and diverse data application Storage, OceanStor Pacific Distributed leading data reduction, and resource
acceleration engines. Such solutions will Storage, OceanProtect Backup Storage, pools for less space occupied and better
be ideal for helping enterprises accelerate and FusionCube. While these offerings resource efficiency; and green enablers,
digital transformation and cope with are suitable for many industries and that is, supporting enterprise services that
diverse data applications. As data volumes enterprises, advancements in three areas optimize production operations for higher
continue to grow exponentially, storage will be needed for them to serve as a fully energy efficiency. Zhou also noted that, over
technologies have struggled to keep up. data-centric, trustworthy data storage the past three decades, data storage has
There are four primary challenges facing the foundation for all applications. First, they evolved to become the optimal foundation
storage industry. First, there are insufficient will need a decoupled storage-compute of high-value data in line with the data
workloads solutions for emerging architecture. As enterprises continuously application development: "We are ushering
applications, such as distributed databases, accelerate their digital transformation, in the yottabyte era. Data applications are
big data, AI, and High-Performance Data emerging data applications are gradually growing faster than ever. This forum's theme
Analytics (HPDA) applications. Second, becoming production applications, is Green, Acceleration, and Innovation, and
data service acceleration will require faster demanding higher data reliability. this is also the development orientation
and real-time data analysis and processing Furthermore, the lifecycle gap between of Huawei Storage. Together with our
to improve production efficiency and user computing and data is expanding, requiring partners, we will provide high-quality
experience. Third, higher data protection flexible and independent management and storage products and solutions to create
standards will be needed to mitigate maintenance of computing and storage more value for customers."
increasingly frequent data attacks that resources. A decoupled storage-compute

50 MAY-JUNE 2022