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Optimal architectures for intelligent storage systems
This article is part of the Storage issue of November 2020, Vol. 18, No. 4
Brute force has been the critical lever to achieving advances in storage technology for much of its history. Making storage devices bigger, faster and denser has worked well and will no doubt continue to contribute to improved storage systems, but it is no longer the best way to improve storage costs and performance. Instead, machine learning and analytics in the form of intelligent storage systems now drive the most important advances in storage technology. What is an intelligent storage system? Pre-intelligent storage systems optimize for low-level operations of a storage device, such as reading from an SSD or sending a packet to a network interface. Intelligent storage systems operate at higher levels of abstractions by using data about device operations to improve performance within a device and observing data utilization patterns to optimize system-level operations. Intelligence is incorporated into storage systems at three distinct levels: device-level optimizations, tiered storage and data lifecycle management, and data ...
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News in this issue
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Explore the best, most optimal architectures for intelligent storage and how these systems improve storage performance/utilization to help get more bang out of your data set buck.
Columns in this issue
VMware's support of NVMe-oF means organizations might be able to significantly improve the performance of their application environments without changing any data center hardware.
Open source tools like Presto persist low-cost unstructured object data stores while still making information accessible through structured data access tools such as SQL.