Three-layer AI architecture centrally manages storage devices, simplifies infrastructure O&M and improves efficiency, says Chen Wei, director of Huawei Southern Africa Enterprise ICT Marketing & Solution Sales.
Advice for CIOs: How to build AI-powered storage for optimal O&M automationIssued by Huawei Enterprise Advice for CIOs: How to build AI-powered storage for optimal O&M automation.
There are three major monitoring and O&M trends of southern Africa enterprise data storage environments:Enterprises and storage vendors are jointly developing three-layer AI architecture . The explosive growth of data volumes in data centres have created new challenges for storage management, such as fault location and risk identification. This means that existing O&M methods are no longer sufficient. According to Huawei’s market insight team, by the year 2023, 40% of IT operation teams in southern Africa enterprises will use AI-augmented automation.
In traditional storage, algorithms and data are coupled and multiple fixed algorithms are distributed at the cache, in the scheduling layers, and in the storage pools of storage devices. However, algorithm parameters need to be manually adjusted to ensure the access efficiency of different types of data. In contrast, intelligent storage incorporates architectural innovations by decoupling algorithms from data.
AI-Powered Storage O&M Automation Huawei Enterprise Three-Layer AI Architecture Device-Centre-Cloud
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