{"title":"VFS_CS: a light-weight and extensible virtual file system middleware for cloud storage system","authors":"Zeng Saifeng","doi":"10.1504/ijcse.2020.10028618","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":"4 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijcse.2020.10028618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 1
Abstract
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.
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.