SANBoost: automated SAN-level caching in storage area network

International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI:10.1109/ICAC.2004.53

Ismail Ari, Melanie Gottwals, D. Henze

{"title":"SANBoost: automated SAN-level caching in storage area network","authors":"Ismail Ari, Melanie Gottwals, D. Henze","doi":"10.1109/ICAC.2004.53","DOIUrl":null,"url":null,"abstract":"The storage traffic for different logical units (LUs) of a disk array converge at the array's cache. The cache is allocated among the LUs approximately according to their relative I/O rates. In the case of nonuniform I/O rates and sensitivity to storage response times between differing applications in a storage area network (SAN), undesirable cache interference between LUs can result in unacceptable storage performance for some LUs. This paper describes SANBoost, a SAN-level caching approach that can be enabled selectively on a per-LU basis to provide a performance isolation mechanism for response time metrics related to storage quality of service (QoS). SANBoost automates hot data detection and migration processes in block-level storage. The design consists of a migration module implemented in a fabric-based SAN virtualization appliance and a solid-state disk (SSD) that acts as a cache resource within the same SAN. Simulation results quantify the impact of a specific static SANBoost caching policy on the SPC-1 benchmark workload and address the relative impact of adapting a threshold in the placement algorithm.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Autonomic Computing, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAC.2004.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 17

Abstract

The storage traffic for different logical units (LUs) of a disk array converge at the array's cache. The cache is allocated among the LUs approximately according to their relative I/O rates. In the case of nonuniform I/O rates and sensitivity to storage response times between differing applications in a storage area network (SAN), undesirable cache interference between LUs can result in unacceptable storage performance for some LUs. This paper describes SANBoost, a SAN-level caching approach that can be enabled selectively on a per-LU basis to provide a performance isolation mechanism for response time metrics related to storage quality of service (QoS). SANBoost automates hot data detection and migration processes in block-level storage. The design consists of a migration module implemented in a fabric-based SAN virtualization appliance and a solid-state disk (SSD) that acts as a cache resource within the same SAN. Simulation results quantify the impact of a specific static SANBoost caching policy on the SPC-1 benchmark workload and address the relative impact of adapting a threshold in the placement algorithm.

查看原文本刊更多论文

SANBoost:存储区域网络中的自动san级缓存

阵列不同逻辑单元的存储流量汇聚到阵列的cache中。缓存大约根据它们的相对I/O速率在逻辑单元之间分配。在存储区域网络(SAN)中不同应用程序之间的I/O速率不一致且对存储响应时间敏感的情况下，逻辑单元之间不希望出现的缓存干扰可能导致某些逻辑单元的存储性能无法接受。本文描述了SANBoost，这是一种san级缓存方法，可以在每个lu的基础上选择性地启用，为与存储服务质量(QoS)相关的响应时间指标提供性能隔离机制。SANBoost在块级存储中自动化热数据检测和迁移过程。该设计包括在基于结构的SAN虚拟化设备中实现的迁移模块和在同一SAN中充当缓存资源的固态磁盘(SSD)。模拟结果量化了特定静态SANBoost缓存策略对SPC-1基准工作负载的影响，并解决了在放置算法中调整阈值的相对影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Conference on Autonomic Computing, 2004. Proceedings.

自引率

0.00%

发文量