CRII: SHF: A Novel Address Translation Architecture for Virtualized Clouds

CRII：SHF：一种用于虚拟化云的新型地址转换架构

• 批准号: 2348066
• 负责人: Weiwei Jia
• 金额: $ 17.5万
• 依托单位: University of Rhode Island
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2348066&HistoricalAwards=false
• 关键词: CRII; SHF; Novel; Address; Translation

Due to its cost effectiveness and energy efficiency, persistent memory (PM) has been increasingly deployed in cloud environments where PM can be virtualized and utilized as both memory and storage devices in virtual machines. Address translation from virtual (a virtual memory address or a file logical address) to physical (a physical location on memory or storage) is critical to the performance of both PM memory system and PM storage system. The state-of-the-art address translations, however, negatively impact the overall system performance in cloud computing because they were originally designed for dynamic random access memories (DRAM) virtualization and traditional storage systems such as hard disk drives (HDDs) and solid state drives (SSDs). This project aims to fundamentally change how address translation is done in the cloud environments specifically beneficial to PM memory and PM storage. The idea is to bypass and short-circuit the lengthy translation process of traditional techniques by leveraging unique observations through extensive experiments. The success of this project has potential to advance next-generation cloud computing and contribute to educational activities by integrating research outcomes into new curriculum and teaching emerging cloud computing technologies to both college and K-12 students. This project introduces XLANE, a general, effective, and scalable address translation architecture for virtualized clouds with high efficiency. The goal is to fundamentally change the traditional address translation techniques while retaining full compatibility to the default designs. XLANE includes two techniques: direct memory translation (DMT) and direct file translation (DFT). DMT enables the reduction of the number of sequential memory accesses from 24 to two in each address translation for memory virtualization. DFT achieves the first direct file mapping design for virtualizing ultra-low latency storage devices like PM with efficient direct file translation. XLANE is a general approach that benefits not only PM systems but also compute express link (CXL)-based memory systems, tiered memory systems, and many others. This project will enable modern clouds and data centers to run emerging data-intensive applications (e.g., graph computing and artificial intelligence) on virtualized PM and CXL-based memory with exceptional performance and scalability, as well as low overhead and energy consumption.This project is jointly funded by the Software and Hardware Foundation (SHF) core research program and the Established Program to Stimulate Competitive Research (EPSCoR).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.

由于其成本效益和能源效率，持久内存（PM）已越来越多地部署在云环境中，其中PM可以被虚拟化并用作虚拟机中的内存和存储设备。从虚拟地址（虚拟内存地址或文件逻辑地址）到物理地址（内存或存储上的物理位置）的地址转换对于 PM 内存系统和 PM 存储系统的性能至关重要。然而，最先进的地址转换会对云计算中的整体系统性能产生负面影响，因为它们最初是为动态随机存取存储器 (DRAM) 虚拟化和传统存储系统（例如硬盘驱动器 (HDD) 和固态硬盘）而设计的。状态驱动器 (SSD)。该项目旨在从根本上改变云环境中地址转换的完成方式，特别有利于 PM 内存和 PM 存储。这个想法是通过广泛的实验利用独特的观察结果来绕过和缩短传统技术的漫长翻译过程。该项目的成功有望推动下一代云计算的发展，并通过将研究成果融入新课程并向大学生和 K-12 学生教授新兴云计算技术，为教育活动做出贡献。该项目引入了XLANE，一种通用、有效、可扩展的虚拟化云地址转换架构，效率极高。目标是从根本上改变传统的地址转换技术，同时保留与默认设计的完全兼容性。 XLANE 包括两种技术：直接内存翻译 (DMT) 和直接文件翻译 (DFT)。 DMT 可以将内存虚拟化的每个地址转换中的顺序内存访问次数从 24 次减少到 2 次。 DFT 实现了第一个直接文件映射设计，用于通过高效的直接文件转换虚拟化 PM 等超低延迟存储设备。 XLANE 是一种通用方法，不仅有利于 PM 系统，而且也有利于基于计算快速链路 (CXL) 的内存系统、分层内存系统等。该项目将使现代云和数据中心能够在基于虚拟化 PM 和 CXL 的内存上运行新兴的数据密集型应用程序（例如图计算和人工智能），具有卓越的性能和可扩展性，以及较低的开销和能耗。该项目由软件和硬件基金会 (SHF) 核心研究计划和刺激竞争研究既定计划 (EPSCoR) 共同资助。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值进行评估，被认为值得支持以及更广泛的影响审查标准。