SNIA Developer Conference September 15-17, 2025 | Santa Clara, CA
Abstract
End to end big data benchmarking has become an extreme attention of ICT industry, the related techniques are being investigated by numerous hardware and software vendors. Storages, as one of the core components of a data center system, need specially designed approaches to measure, evaluate and analyze their performance. This talk introduces our methods to create the storage performance model based on workload characterization, algorithm level behavior tracing and capture, and software platform management. The functionality and capability of our methodology for quantitative analysis of big data storage have been validated through benchmarks and measurements performed on real data center system.
Learning Objectives
Storage Performance Measurement and Evaluation
Scalable and Distributed Storage Systems
Best practices architecture for Big Data
Performance analysis