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Accelerating Near Real-time Analytics with High Performance Object Storage

SNIAVideo via YouTube

Overview

Explore a 32-minute conference presentation that delves into the advantages of computational storage for optimizing object storage applications in disaggregated storage environments. Learn how computational storage enhances CPU utilization efficiency by offloading compute-intensive tasks, resulting in improved system performance and reduced total cost of ownership. Discover the benefits of reduced data movement, enhanced network utilization, and decreased latency for data analytics support. Examine how disaggregated storage particularly benefits from computational storage, as scaling storage naturally leads to scaling of accelerated tasks. Study experimental results focusing on S3 Select functionality acceleration and various use cases using the High Performance Object Storage (HPOS) platform. Master key concepts including performance improvements through computational storage acceleration, advantages of disaggregated storage models with computational storage devices for solution scalability, and the TCO and power benefits of implementing computational storage devices.

Syllabus

SDC2022 – Accelerating Near Real-time Analytics with High Performance Object Storage

Taught by

SNIAVideo

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