{"title":"面向存储感知SDN的智能网内重复数据删除","authors":"Yu Hua, Xue Liu, D. Feng","doi":"10.1145/2486001.2491714","DOIUrl":null,"url":null,"abstract":"In order to efficiently handle the rapid growth of data and reduce the overhead of network transmission, we propose an in-network deduplication for storage-aware Software Defined Network (SDN), called SMIND. Unlike conventional source or destination deduplication schemes, SMIND implements in-network deduplication via SDN. Moreover, to address the performance bottleneck of accessing and indexing SDN controller, we implement an SDN-enabled Flash Translation Layer (FTL) in a real prototype of Solid State Disk (SSD). Experimental results demonstrate the efficiency and efficacy of SMIND.","PeriodicalId":159374,"journal":{"name":"Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Smart in-network deduplication for storage-aware SDN\",\"authors\":\"Yu Hua, Xue Liu, D. Feng\",\"doi\":\"10.1145/2486001.2491714\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to efficiently handle the rapid growth of data and reduce the overhead of network transmission, we propose an in-network deduplication for storage-aware Software Defined Network (SDN), called SMIND. Unlike conventional source or destination deduplication schemes, SMIND implements in-network deduplication via SDN. Moreover, to address the performance bottleneck of accessing and indexing SDN controller, we implement an SDN-enabled Flash Translation Layer (FTL) in a real prototype of Solid State Disk (SSD). Experimental results demonstrate the efficiency and efficacy of SMIND.\",\"PeriodicalId\":159374,\"journal\":{\"name\":\"Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2486001.2491714\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2486001.2491714","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smart in-network deduplication for storage-aware SDN
In order to efficiently handle the rapid growth of data and reduce the overhead of network transmission, we propose an in-network deduplication for storage-aware Software Defined Network (SDN), called SMIND. Unlike conventional source or destination deduplication schemes, SMIND implements in-network deduplication via SDN. Moreover, to address the performance bottleneck of accessing and indexing SDN controller, we implement an SDN-enabled Flash Translation Layer (FTL) in a real prototype of Solid State Disk (SSD). Experimental results demonstrate the efficiency and efficacy of SMIND.