EAGER: Improving Lifetime and Data Reconstruction Time of Flash-Based RAID by Orchestrating Control between RAID and SSD Controllers

EAGER：通过协调 RAID 和 SSD 控制器之间的控制来提高基于闪存的 RAID 的使用寿命和数据重建时间

• 批准号: 1822459
• 负责人: Tao Li
• 金额: $ 30万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-05-01 至 2021-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1822459&HistoricalAwards=false
• 关键词: EAGER; Improving; Lifetime; Data; Reconstruction

To meet stringent latency and throughput requirements for big data applications, flash-based Solid-State Drive arrays (SSAs) have become popular in enterprise storage systems. SSAs have many advantages over conventional Hard Disk Drives (HDD), such as enhanced input/output (IO) performance and storage density, lower power, cooling, and rack space cost. However, SSAs have lower endurance and lower lifetime than HDDs, requiring more frequent replacement, negating some of their advantages.To optimize the lifespan of SSAs, this project will divide data into two separate classes, hereafter described as ordinary data and approximate data. With approximate storage, bad blocks that contain pages with uncorrectable errors can be reused to store approximate data that can tolerate some errors. Applying approximate storage in SSAs requires new mechanisms and techniques to coordinate redundant arrays of inexpensive disks (RAID) and SSD controllers to manage both approximate and ordinary data. This project will (1) develop new mechanisms to orchestrate control between RAID and SSD controllers to extend the lifespan of SSAs; (2) investigate new schemes to utilize the computing power of SSDs to accelerate the data reconstruction of SSAs under heavy workloads; and (3) integrate the above two approaches to develop an experimental framework for evaluation. This project is expected to have a major impact on industry, since it addresses a real, very timely technical problem. Further, this project has societal benefits, in reducing storage cost at data centers, educating graduate and undergraduate students about cloud computing architecture, while seeking to broaden participation of students from diverse backgrounds.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

为了满足大数据应用程序的严格延迟和吞吐量要求，基于Flash的固态驱动器阵列（SSA）已在企业存储系统中流行。 SSA比常规硬盘驱动器（HDD）具有许多优势，例如增强的输入/输出（IO）性能和存储密度，较低的功率，冷却和机架空间成本。但是，SSA的耐力较低，寿命低于HDD，需要更频繁的替换，否定了它们的某些优势。要优化SSA的寿命，该项目将将数据分为两个单独的类别，以下称为普通数据和近似数据。有了近似的存储，可以将包含具有不可纠正错误的页面的不良块重复使用以存储可以容忍某些错误的近似数据。在SSA中应用近似存储需要新的机制和技术来协调廉价磁盘（RAID）和SSD控制器的冗余阵列，以管理近似数据和普通数据。该项目将（1）开发新的机制来协调RAID和SSD控制器之间的控制，以延长SSA的寿命； （2）研究新方案以利用SSD的计算能力来加速繁重工作量下的SSA的数据重建； （3）整合上述两种方法，以开发一个实验框架进行评估。预计该项目将对行业产生重大影响，因为它解决了一个真正的，非常及时的技术问题。此外，该项目具有社会利益，可以降低数据中心的存储成本，对毕业生和本科生进行有关云计算体系结构的教育，同时寻求扩大来自不同背景的学生的参与。这一奖项反映了NSF的法定任务，并被视为值得支持的支持。通过使用基金会的智力优点和更广泛影响的评论标准进行评估。