{"title":"EERAID: energy efficient redundant and inexpensive disk array","authors":"Dong Li, Jun Wang","doi":"10.1145/1133572.1133577","DOIUrl":null,"url":null,"abstract":"Recent research works have been presented on conserving energy for multi-disk systems either at a single disk drive level or at a storage system level and thereby having certain limitations. This paper studies several new redundancy-based, power-aware, I/O request scheduling and cache management policies at the RAID controller level to build energy-efficient RAID systems, by exploiting the redundant information and destage issues of the array for two popular RAID levels, RAID 1 and RAID 5. For RAID 1, we develop a Windowed Round Robin (WRR) request scheduling policy; for RAID 5, we introduce a N-chance Power Aware cache replacement algorithm (NPA) for writes and a Power-Directed, Transformable (PDT) request scheduling policy for reads. Trace-driven simulation proves EERAID saves much more energy than legacy RAIDs and existing solutions.","PeriodicalId":285758,"journal":{"name":"EW 11","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"119","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EW 11","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1133572.1133577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 119
Abstract
Recent research works have been presented on conserving energy for multi-disk systems either at a single disk drive level or at a storage system level and thereby having certain limitations. This paper studies several new redundancy-based, power-aware, I/O request scheduling and cache management policies at the RAID controller level to build energy-efficient RAID systems, by exploiting the redundant information and destage issues of the array for two popular RAID levels, RAID 1 and RAID 5. For RAID 1, we develop a Windowed Round Robin (WRR) request scheduling policy; for RAID 5, we introduce a N-chance Power Aware cache replacement algorithm (NPA) for writes and a Power-Directed, Transformable (PDT) request scheduling policy for reads. Trace-driven simulation proves EERAID saves much more energy than legacy RAIDs and existing solutions.