{"title":"具有精确修复和小子分组的最小存储货架感知再生码","authors":"Hanxu Hou, P. Lee, Y. Han","doi":"10.1109/ISIT44484.2020.9174461","DOIUrl":null,"url":null,"abstract":"Modern data centers often organize storage nodes in racks, in which the cross-rack communication cost is typically much higher than the intra-rack communication cost. Rack-aware regenerating codes have recently been proposed to achieve the optimal trade-off between storage redundancy and cross-rack repair bandwidth, subject to the condition that the original data can be reconstructed from a sufficient number of any non-failed nodes. In this paper, we present a coding framework that transforms any minimum-storage regenerating (MSR) code to a minimum-storage rack-aware regenerating (MSRR) code, such that the cross-rack repair bandwidth is minimized subject to the minimum storage redundancy. To this end, we can construct a family of exact-repair constructions for the MSRR codes for all admissible parameters. Furthermore, our constructions achieve low sub-packetization, which is critical for mitigating the I/O overhead during repair.","PeriodicalId":159311,"journal":{"name":"2020 IEEE International Symposium on Information Theory (ISIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Minimum Storage Rack-Aware Regenerating Codes with Exact Repair and Small Sub-Packetization\",\"authors\":\"Hanxu Hou, P. Lee, Y. Han\",\"doi\":\"10.1109/ISIT44484.2020.9174461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern data centers often organize storage nodes in racks, in which the cross-rack communication cost is typically much higher than the intra-rack communication cost. Rack-aware regenerating codes have recently been proposed to achieve the optimal trade-off between storage redundancy and cross-rack repair bandwidth, subject to the condition that the original data can be reconstructed from a sufficient number of any non-failed nodes. In this paper, we present a coding framework that transforms any minimum-storage regenerating (MSR) code to a minimum-storage rack-aware regenerating (MSRR) code, such that the cross-rack repair bandwidth is minimized subject to the minimum storage redundancy. To this end, we can construct a family of exact-repair constructions for the MSRR codes for all admissible parameters. Furthermore, our constructions achieve low sub-packetization, which is critical for mitigating the I/O overhead during repair.\",\"PeriodicalId\":159311,\"journal\":{\"name\":\"2020 IEEE International Symposium on Information Theory (ISIT)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Symposium on Information Theory (ISIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT44484.2020.9174461\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Symposium on Information Theory (ISIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT44484.2020.9174461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Minimum Storage Rack-Aware Regenerating Codes with Exact Repair and Small Sub-Packetization
Modern data centers often organize storage nodes in racks, in which the cross-rack communication cost is typically much higher than the intra-rack communication cost. Rack-aware regenerating codes have recently been proposed to achieve the optimal trade-off between storage redundancy and cross-rack repair bandwidth, subject to the condition that the original data can be reconstructed from a sufficient number of any non-failed nodes. In this paper, we present a coding framework that transforms any minimum-storage regenerating (MSR) code to a minimum-storage rack-aware regenerating (MSRR) code, such that the cross-rack repair bandwidth is minimized subject to the minimum storage redundancy. To this end, we can construct a family of exact-repair constructions for the MSRR codes for all admissible parameters. Furthermore, our constructions achieve low sub-packetization, which is critical for mitigating the I/O overhead during repair.