CSR: Medium: Building next-generation cloud infrastructure using RDMA

CSR：中：使用 RDMA 构建下一代云基础设施

• 批准号: 1409942
• 负责人: Jinyang Li
• 金额: $ 67.85万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1409942&HistoricalAwards=false
• 关键词: CSR; Medium; Building; next; generation

As computation and data are moved to the "cloud", there is a need to significantly increase the capacity and performance of the underlying data centers through improved hardware and communication infrastructure. A key component of the communication infrastructure is the network implementation, currently based upon Ethernet. Technological trends suggest that next-generation data center networks will be based upon RDMA (Remote Direct Memory Access), a powerful communciation technology used today in high performance computer systems. While RDMA offers enormous performance potential, current cloud infrastructures are not designed to exploit this potential. This project will investigate RDMA-based system designs for distributed storage systems and in-memory applications.Specifically, the project research agenda consists of (a) building a high performance distributed key-value store and a B-tree based store (b) developing several applications in image search and deep learning whose distribution is made feasible by RDMA's ultra-low-latency and high throughput; (c) evaluating the performance of the resulting systems and applications at scale on the NSF-funded PRObE testbed.

随着计算和数据移至“云”，有必要通过改进的硬件和通信基础架构大大提高基础数据中心的能力和性能。 通信基础架构的关键组成部分是目前基于以太网的网络实现。技术趋势表明，下一代数据中心网络将基于RDMA（远程直接内存访问），这是当今高性能计算机系统中使用的强大的沟通技术。尽管RDMA具有巨大的性能潜力，但当前的云基础架构并非旨在利用这一潜力。 该项目将研究用于分布式存储系统和内存应用程序的基于RDMA的系统设计。特别是，该项目研究议程包括（a）建立高性能分布式键值商店和基于B-Tree的商店（b）在图像搜索和深度学习中开发多个应用程序，该应用程序由RDMA的Ultra-Low-Low-Low-Low-Low-LOW-LAW-LAW-LATENCE和高透中心和高透中心; （c）在NSF资助的探针测试台上评估所得系统和应用的性能。