VFS_CS:用于云存储系统的轻量级可扩展虚拟文件系统中间件

IF 1.4 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Computational Science and Engineering Pub Date : 2020-04-17 DOI:10.1504/ijcse.2020.10028618
Zeng Saifeng
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引用次数: 1

摘要

在云环境中,已经广泛部署了数据密集型应用程序来解决重要的应用程序,而基于云的存储系统在运行这些数据密集型应用程序时通常无法提供理想的性能和效率。为了解决执行数据密集型应用程序时的存储容量和性能问题,我们设计并实现了轻量级分布式文件系统中间件,即用于云存储的虚拟文件系统,它允许其他存储级服务以插件的方式轻松地集成到集成框架中。在提议的中间件中,我们实现了三种有效的机制:磁盘缓存、文件条带化和元数据管理。所提出的中间件的实现已经部署在一个实际的云平台上,并且在各种工作负载下对其性能进行了彻底的研究。实验结果表明,与现有方法相比,该方法可以显著提高I/O性能。此外,当云系统面临密集的工作负载时,它也表现出更好的健壮性。
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VFS_CS: a light-weight and extensible virtual file system middleware for cloud storage system
In cloud environments, data-intensive applications have been widely deployed to solve non-trivial applications, while cloud-based storage systems usually fail to provide desirable performance and efficiency when running those data-intensive applications. To address the problems of storage capacity and performance when executing data-intensive applications, we design and implement a light-weight distributed file system middleware, namely virtual file system for cloud storage, which allows other storage-level services to be easily incorporated into an integrated framework in a plug-in manner. In the proposed middleware, we implement three effective mechanisms: disk caching, file striping, and metadata management. The implementation of the proposed middleware has been deployed in a realistic cloud platform, and its performance has been thoroughly investigated under various workloads. Experimental results show that it can significantly improve I/O performance compared with existing approaches. In addition, it also exhibits better robustness when the cloud system is facing intensive workloads.
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来源期刊
International Journal of Computational Science and Engineering
International Journal of Computational Science and Engineering COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.00
自引率
40.00%
发文量
73
期刊介绍: Computational science and engineering is an emerging and promising discipline in shaping future research and development activities in both academia and industry, in fields ranging from engineering, science, finance, and economics, to arts and humanities. New challenges arise in the modelling of complex systems, sophisticated algorithms, advanced scientific and engineering computing and associated (multidisciplinary) problem-solving environments. Because the solution of large and complex problems must cope with tight timing schedules, powerful algorithms and computational techniques, are inevitable. IJCSE addresses the state of the art of all aspects of computational science and engineering with emphasis on computational methods and techniques for science and engineering applications.
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