X. T. Tran, T. V. Do, Nam H. Do, L. Farkas, C. Rotter
{"title":"Provision of Disk I/O Guarantee for MapReduce Applications","authors":"X. T. Tran, T. V. Do, Nam H. Do, L. Farkas, C. Rotter","doi":"10.1109/Trustcom.2015.576","DOIUrl":null,"url":null,"abstract":"YARN is an emerging resource management in the Hadoop ecosystem, where big data in the scale of petabytes/day are processed with the use of commercial off-the-shelf servers. At present YARN supports only RAM and CPU reservation/control. However, the reservation and the control of disk I/O throughput are also needed to provide a satisfactory performance for MapReduce applications. In this paper, we propose a solution with software components that can be integrated into YARN to support the reservation of disk I/O throughput in YARN. Experiments show that a proposed solution can provide a disk I/O throughput guarantee for MapReduce applications.","PeriodicalId":277092,"journal":{"name":"2015 IEEE Trustcom/BigDataSE/ISPA","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Trustcom/BigDataSE/ISPA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Trustcom.2015.576","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
YARN is an emerging resource management in the Hadoop ecosystem, where big data in the scale of petabytes/day are processed with the use of commercial off-the-shelf servers. At present YARN supports only RAM and CPU reservation/control. However, the reservation and the control of disk I/O throughput are also needed to provide a satisfactory performance for MapReduce applications. In this paper, we propose a solution with software components that can be integrated into YARN to support the reservation of disk I/O throughput in YARN. Experiments show that a proposed solution can provide a disk I/O throughput guarantee for MapReduce applications.