{"title":"An adaptive high-low water mark destage algorithm for cached RAID5","authors":"Y. Nam, Chanik Park","doi":"10.1109/PRDC.2002.1185636","DOIUrl":null,"url":null,"abstract":"The high-low water mark destage (HLWM) algorithm is widely used to enable a cached RAID5 to flush dirty data from its write cache to disks. It activates and deactivates a destaging process based on two time-invariant thresholds which are determined by cache occupancy levels. However the opportunity exists to improve I/O throughput by adaptively changing the thresholds. This paper proposes an adaptive HLWM algorithm which dynamically changes its thresholds according to a varying I/O workload. Two thresholds are defined as the multiplication of changing rates of the cache occupancy level and the time required to fill and empty the cache. Performance evaluations with a cached RAID5 simulator reveal that the proposed algorithm outperforms the HLWM algorithm in terms of read response time, write cache hit ratio, and disk utilization.","PeriodicalId":362330,"journal":{"name":"2002 Pacific Rim International Symposium on Dependable Computing, 2002. Proceedings.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 Pacific Rim International Symposium on Dependable Computing, 2002. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRDC.2002.1185636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
The high-low water mark destage (HLWM) algorithm is widely used to enable a cached RAID5 to flush dirty data from its write cache to disks. It activates and deactivates a destaging process based on two time-invariant thresholds which are determined by cache occupancy levels. However the opportunity exists to improve I/O throughput by adaptively changing the thresholds. This paper proposes an adaptive HLWM algorithm which dynamically changes its thresholds according to a varying I/O workload. Two thresholds are defined as the multiplication of changing rates of the cache occupancy level and the time required to fill and empty the cache. Performance evaluations with a cached RAID5 simulator reveal that the proposed algorithm outperforms the HLWM algorithm in terms of read response time, write cache hit ratio, and disk utilization.