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CNS Core: Small: Collaborative: Salvaging Commodity Operating Systems toSupport Emerging Networking Technologies

CNS 核心：小型：协作：挽救商品操作系统以支持新兴网络技术

基本信息

批准号：
1909877
负责人：
Hui Lu
金额：
$ 25万
依托单位：
SUNY at Binghamton
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2023-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1909877&HistoricalAwards=false
关键词：
CNS Core Small Collaborative Salvaging

项目摘要

The networking landscape has changed dramatically along with two main advances: (1) fast hardware has led to high-speed, high-bandwidth computer networks; (2) new networking architectures, such as software-defined networking, have given rise to a flexible way to operate networking services. Unfortunately, traditional systems software, such as commodity operating systems, faces critical challenges to efficiently support such high-speed networks and new networking architectures. This project will conduct a holistic study of network software stacks in commodity operating systems to identify critical bottlenecks, propose new solutions to address these bottlenecks, and finally validate the proposed solutions using real prototype implementations.Specifically, the project entails three research thrusts: First, to maximize packet-level parallelism, it will develop a stress-testing approach to locate the serialization bottleneck and design a highly efficient pipelining process to parallelize packet processing in virtualized networks. Second, to improve per-packet processing efficiency for small packets, it will develop a multi-level packet coalescing approach, including hardware interrupt coalescing, software interrupt coalescing, and lossless packet coalescing. Third, to strike a good balance between parallelism and data locality, it will design a holistic scheduling algorithm to optimally multiplex in-kernel interrupts and user-level threads for virtualized network functions.The knowledge developed in this project will help to improve the key aspects of network performance in commodity operating systems, thus benefiting all systems and applications running on these systems. The research outcomes from this project will have influence on the design and implementation of production networking systems and be integrated into core computer science courses. This project will provide training to undergraduate students, graduate students, and students from underrepresented groups.The project mainly generates four types of data including prototype implementations, software instrumentation benchmarks, detailed reports of empirical evaluations, and curriculum materials. These data will be maintained on the project website during the execution of the project and for a minimum of three years after the project's ending date: http://www.cs.binghamton.edu/~huilu/projects/CNets.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.

随着两个主要的进步，网络环境已经发生了显著的沿着变化：（1）快速的硬件已经导致高速、高带宽的计算机网络;（2）新的网络架构，例如软件定义的网络，已经产生了一种灵活的方式来操作网络服务。不幸的是，传统的系统软件，如商品操作系统，面临着关键的挑战，以有效地支持这种高速网络和新的网络架构。该项目将对商用操作系统中的网络软件栈进行全面研究，以确定关键瓶颈，提出解决这些瓶颈的新解决方案，并最终使用真实的原型实现来验证所提出的解决方案。具体而言，该项目需要三个研究方向：首先，为了最大化分组级并行性，它将开发一种压力测试方法，以确定串行化瓶颈，并设计一种高效的流水线过程，以在虚拟网络中并行处理分组。其次，为了提高小数据包的单数据包处理效率，将开发一种多级数据包合并方法，包括硬件中断合并、软件中断合并和无损数据包合并。第三，为了在并行性和数据局部性之间取得良好的平衡，本项目将设计一个整体调度算法，以最佳地复用内核中断和用户级线程，以实现虚拟化网络功能。本项目所开发的知识将有助于改善商用操作系统中网络性能的关键方面，从而使运行在这些系统上的所有系统和应用程序受益。该项目的研究成果将对生产网络系统的设计和实施产生影响，并将纳入核心计算机科学课程。该项目将为本科生、研究生和代表性不足群体的学生提供培训。该项目主要产生四种类型的数据，包括原型实现、软件插装基准、经验评估的详细报告和课程材料。这些数据将在项目执行期间和项目结束日期后至少三年内保留在项目网站上：http://www.cs.binghamton.edu/~huilu/projects/CNets.This奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估而被认为值得支持。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Accelerating Packet Processing in Container Overlay Networks via Packet-level Parallelism

通过数据包级并行加速容器覆盖网络中的数据包处理

DOI：
10.1109/ipdps54959.2023.00018
发表时间：
2023
期刊：
Proceedings IEEE International Parallel and Distributed Processing Symposium
影响因子：
0
作者：
Lei, Jiaxin;Munikar, Manish;Lu, Hui;Jia, Rao
通讯作者：
Jia, Rao

Baoverlay: a block-accessible overlay file system for fast and efficient container storage