The case for active block layer extensions

Author:

Guerra Jorge1,Useche Luis1,Bhadkamkar Medha1,Koller Ricardo1,Rangaswami Raju1

Affiliation:

1. Florida International University

Abstract

Self-managing storage systems have recently received attention from the research community due to their promised ability of continuously adapting to best reflect high-level system goal specifications. However, this eventuality is currently being met by both conceptual and practical challenges that threaten to slow down the pace of innovation. We argue that two fundamental directions will help evolve the state of self-managing storage systems: (i) a standardized development environment for self-management extensions that also addresses ease of deployment, and (ii) a theoretical framework for reasoning about behavioral properties of individual and collective self-management extensions. We propose Active Block Layer Extensions (ABLE), an operating system infrastructure that aids the development and manages the deployed instances of self-management extensions within the storage stack. ABLE develops a theory behind block layer extensions that helps address key questions about overall storage stack behavior, data consistency, and reliability. We exemplify specific storage self-management solutions that can be built as stackable extensions using ABLE. Our initial experience with ABLE and few block layer extensions that we have been building, leads to believe that the ABLE infrastructure can substantially simplify the development and deployment of robust, self-managing, storage systems.

Publisher

Association for Computing Machinery (ACM)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Infusing pub-sub storage with transactions;Proceedings of the 14th ACM Workshop on Hot Topics in Storage and File Systems;2022-06-27

2. An Efficient Block Address Transformation Scheme in Block Layer for Flash-Based SSDs;IEEE Access;2022

3. I/O Deduplication;ACM Transactions on Storage;2010-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3