MCSD-100

MCSD100 is a dataset for object storage performance testing, based on the MSCOCO and semEval2017 datasets used in previous studies (Sherlock in OSS). The dataset is designed to evaluate the performance of the Open-Stack Swift cloud storage system, specifically its Erasure Coding policy and fragmentation capabilities. The dataset includes 25 files each of text, mp3, jpeg, and mp4 formats, representing real-world scenarios. By analyzing the behavior of these files under different EC schemes, the researchers gain valuable insights into OpenStack Swift's storage mechanisms. The dataset is openly available for reproducibility and further studies. The findings highlight OpenStack Swift's efficiency in handling different file types and sizes, making it suitable for enterprise data management, multimedia content platforms, image hosting, long-term data preservation, and collaborative content creation.

搜集汇总

背景与挑战

背景概述

MCSD-100是一个用于对象存储性能测试的数据集，基于MSCOCO和semEval2017数据集构建，专门评估OpenStack Swift云存储系统的纠删码策略和分片能力。它包含25个文件，覆盖文本、mp3、jpeg和mp4格式，模拟真实场景，公开可用，适用于企业数据管理、多媒体平台和长期数据保存等应用。