SBK: A Framework for Performance Benchmarking for a Variety of Storage Systems

Sanjay Kumar N V, Keshava Munegowda
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Abstract

Benchmarking storage systems at scale can be challenging, Within the realm of big data, performance stands out as a significant challenge. Proper storage and maintenance of big data are crucial in order to guarantee accessibility, achieve cost savings, enhance risk management, and gain a deeper comprehension of customer needs. This paper addresses the challenges faced in managing extensive and rapidly growing data volumes and to place importance on maintaining optimal storage performance. The SBK framework is containerized and vendor-neutral, making it easy to use and deploy. A software benchmarking framework designed to evaluate the performance of any storage system inclusive of all types data/payload. This paper demonstrates the use of SBK in benchmarking and to highlight the relevance of benchmark testing in evaluating the storage performance. SBK aims to provide transparency and ease of use for benchmarking purposes. This framework functions correctly with different hardware configurations, operating systems, and software environments.
SBK:各种存储系统的性能基准测试框架
对大规模存储系统进行基准测试可能具有挑战性,在大数据领域,性能是一个重大挑战。为了保证大数据的可访问性,实现成本节约,加强风险管理,并更深入地了解客户需求,适当的存储和维护是至关重要的。本文解决了在管理大量和快速增长的数据量时所面临的挑战,并强调了保持最佳存储性能的重要性。SBK框架是容器化的,与供应商无关,因此易于使用和部署。一个软件基准测试框架,用于评估任何存储系统的性能,包括所有类型的数据/有效负载。本文演示了在基准测试中使用SBK,并强调了基准测试在评估存储性能方面的相关性。SBK旨在为基准测试提供透明度和易用性。该框架在不同的硬件配置、操作系统和软件环境下都能正常工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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