Collaborative Research: CNS Core: Medium: Programmable Disaggregated Storage

合作研究：CNS 核心：媒介：可编程分类存储

基本信息

批准号：
2212192
负责人：
Ming Liu
金额：
$ 40万
依托单位：
University of Wisconsin-Madison
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-10-01 至 2026-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2212192&HistoricalAwards=false
关键词：
Collaborative Research CNS Core Medium

项目摘要

Disaggregated storage has become an increasingly popular storage infrastructure, gaining significant attention in public clouds and in the enterprise. Today’s storage disaggregation lacks multi-tenancy support and dynamic adaptation to consolidated workloads. Further, it requires costly coordination and provides no application-specific control. This leads to severe interference, suboptimal performance, and cost inefficiencies. This project’s goal is to make disaggregated storage programmable. Programmable disaggregated storage (PDS) can provide end-to-end control over disaggregated storage access. It leverages recent storage and network innovations to make the entire disaggregated storage data path programmable. This allows PDS to adapt to the workload requirements and backend infrastructure conditions. PDS aims to provide predictably high performance, enable flexible storage access, and offer efficient isolation and fairness guarantees. Several research questions are addressed to make PDS practical, such as how to build an elastic and backward compatible client-side virtual disk; how to design control-plane and data-plane programming frameworks to express application intents and define flexible computations; how to enforce control-plane policies and perform fair resource allocations across heterogeneous I/O substrates; how to schedule data-plane operators across different devices; and how to achieve predictable storage access latencies. Storage infrastructure is used by billions of people around the globe on a daily basis. By tightly integrating disaggregated storage with emerging programmable entities, this project has the potential to substantially improve the performance, cost efficiency, scalability, and multi-tenancy of storage applications. There are ample opportunities for involving undergraduate students and bringing research into the classroom. For the broader community of users and the society at large, this project endeavors to publicly release hardware and software prototypes, enabling a rich set of storage applications.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.

分开的存储已成为越来越流行的存储基础架构，在公共云和企业中引起了极大的关注。当今的存储分解缺乏多种租赁支持和对合并工作负载的动态改编。此外，它需要昂贵的协调，并且不提供特定于应用程序的控制。这导致严重的干扰，次优性能和成本效率低下。该项目的目标是使不累积的存储可编程。可编程的解开存储（PDS）可以提供对分开存储访问的端到端控制。它利用最近的存储和网络创新来使整个分开的存储数据路径可编程。这允许PD适应工作负载要求和后端基础架构条件。 PD旨在提供可预测的高性能，启用灵活的存储访问，并提供有效的隔离和公平保证。解决了一些研究问题以使PDS实用，例如如何构建弹性和向后兼容的客户端虚拟磁盘；如何设计控制平面和数据平面编程框架以表达应用程序意图并定义灵活的计算；如何执行控制平面政策并在异质I/O底物之间执行公平资源分配；如何在不同设备上安排数据平面运营商；以及如何实现可预测的存储访问潜伏期。全球数十亿人每天都使用存储基础设施。通过将分开的存储与新兴的可编程实体紧密整合在一起，该项目有可能大大提高存储应用程序的性能，成本效率，可扩展性和多种租赁。有足够的机会参与本科生并将研究带入课堂。对于更广泛的用户和整个社会的社区，该项目努力公开释放硬件和软件原型，实现了丰富的存储应用程序。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子和更广泛的影响审查标准来评估通过评估而被认为是珍贵的。