{"title":"基于reram的多节点HDFS混合SSD的有效管理","authors":"N. Park, B. Lee, K. Kim, H. Youn","doi":"10.2991/ijndc.2015.3.3.4","DOIUrl":null,"url":null,"abstract":"Recently, the research of Hybrid ReRAM/MLC NAND SSD is rapidly expanding into the storage areas. Most existing researches of Hybrid SSD are based on a single storage, while the management of multiple nodes like HDFS is still immature. In this paper a new efficient cold data eviction scheme is proposed which is based on node congestion probability. Computer simulation reveals that the proposed scheme significantly reduces replication and recovery time in comparison to the existing replication schemes.","PeriodicalId":318936,"journal":{"name":"Int. J. Networked Distributed Comput.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effective Management of ReRAM-based Hybrid SSD for Multiple Node HDFS\",\"authors\":\"N. Park, B. Lee, K. Kim, H. Youn\",\"doi\":\"10.2991/ijndc.2015.3.3.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, the research of Hybrid ReRAM/MLC NAND SSD is rapidly expanding into the storage areas. Most existing researches of Hybrid SSD are based on a single storage, while the management of multiple nodes like HDFS is still immature. In this paper a new efficient cold data eviction scheme is proposed which is based on node congestion probability. Computer simulation reveals that the proposed scheme significantly reduces replication and recovery time in comparison to the existing replication schemes.\",\"PeriodicalId\":318936,\"journal\":{\"name\":\"Int. J. Networked Distributed Comput.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Networked Distributed Comput.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/ijndc.2015.3.3.4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Networked Distributed Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ijndc.2015.3.3.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effective Management of ReRAM-based Hybrid SSD for Multiple Node HDFS
Recently, the research of Hybrid ReRAM/MLC NAND SSD is rapidly expanding into the storage areas. Most existing researches of Hybrid SSD are based on a single storage, while the management of multiple nodes like HDFS is still immature. In this paper a new efficient cold data eviction scheme is proposed which is based on node congestion probability. Computer simulation reveals that the proposed scheme significantly reduces replication and recovery time in comparison to the existing replication schemes.