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Collaborative Research: CNS Core: Medium: FROOT: Future-Proof, Trustworthy Telemetry on Heterogeneous Networks

合作研究：CNS 核心：媒介：FROOT：异构网络上面向未来、值得信赖的遥测

基本信息

批准号：
2107086
负责人：
Zaoxing Liu
金额：
$ 50万
依托单位：
Trustees of Boston University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2107086&HistoricalAwards=false
关键词：
Collaborative Research CNS Core Medium

项目摘要

With the growth of the Internet and its importance in supporting the US economy, business, health, education and other services, it is critical to ensure both high performance and high availability of the networks underlying it. Increasingly, such networks include a heterogeneous set of network switches and other devices which must be monitored and controlled in a coordinated manner. Emerging networked applications, such as cloud gaming or cloud streamed augmented reality, are expected to further stress both control systems and network monitoring by requiring real-time response to rapid changes in traffic workloads. This project aims to address the needs of future network control by enabling a network telemetry infrastructure that can provide timely, accurate, and trusted information about ongoing activities in the networkThis project proposes FROOT, a future-proof, trustworthy telemetry infrastructure for networks of heterogeneous programmable devices (e.g., programmable switch, SmartNIC, CPU, and DPU). The project takes an interdisciplinary approach spanning algorithms, systems, and security to inform the design and implementation of next generation telemetry systems through the following: (1) universal sketch-based algorithmic design and implementation for current and new measurement tasks and network devices; (2) novel network-wide resource optimization for handling network dynamics; and (3) trustworthy sketch deployment into heterogeneous devices to obtain critical telemetry information. The researchers also plan to deploy their network telemetry system at Mass Open Cloud testbed, an open public cloud project led by Boston University and other institutions in Massachusetts. The project will result in the development of open-source tools, algorithms, and prototype implementations that will reduce the time to deploy sketch-based telemetry in real-world scenarios.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.

随着互联网的发展及其在支持美国经济、商业、健康、教育和其他服务方面的重要性，确保互联网基础网络的高性能和高可用性至关重要。越来越多的互联网包括一组异构的网络交换机和其他设备，这些设备必须以协调的方式进行监视和控制。新兴的网络应用，如云游戏或云流增强现实，预计将进一步强调控制系统和网络监控，要求实时响应流量工作负载的快速变化。该项目旨在通过启用网络遥测基础设施来满足未来网络控制的需求，该网络遥测基础设施可以提供有关网络中正在进行的活动的及时，准确和可信的信息。可编程交换机、SmartNIC、CPU和DPU）。该项目采用跨学科的方法，跨越算法，系统和安全性，通过以下方式为下一代遥测系统的设计和实现提供信息：（1）针对当前和新的测量任务和网络设备的基于草图的通用算法设计和实现;（2）用于处理网络动态的新型网络范围资源优化;以及（3）可信的草图部署到异构设备中以获得关键的遥测信息。研究人员还计划在Mass Open Cloud测试平台上部署他们的网络遥测系统，这是一个由波士顿大学和马萨诸塞州其他机构领导的开放公共云项目。该项目将导致开源工具，算法和原型实现的开发，这将减少在现实世界的场景中部署基于草图的遥测的时间。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

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）

In-Memory Key-Value Store Live Migration with NetMigrate

使用 NetMigrate 进行内存中键值存储实时迁移

DOI：
发表时间：
2024
期刊：
22nd USENIX Conference on File and Storage Technologies (FAST '24
影响因子：
0
作者：
Zhu, Zeying;Zhu, Yibo;Liu, Zaoxing
通讯作者：
Liu, Zaoxing

Precise error estimation for sketch-based flow measurement

DOI：
10.1145/3487552.3487856
发表时间：
2021-11
期刊：
Proceedings of the 21st ACM Internet Measurement Conference
影响因子：
0
作者：
Peiqing Chen;Yuhan Wu;Tong Yang;Junchen Jiang;Zaoxing Liu
通讯作者：
Peiqing Chen;Yuhan Wu;Tong Yang;Junchen Jiang;Zaoxing Liu

HeteroSketch: Coordinating Network-wide Monitoring in Heterogeneous and Dynamic Networks

HeteroSketch：协调异构动态网络中的全网监控

DOI：
发表时间：
2022
期刊：
19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22
影响因子：
0
作者：
Agarwal, Anup;Liu, Zaoxing;Seshan, Srinivasan
通讯作者：
Seshan, Srinivasan

Panakos: Chasing the Tails for Multidimensional Data Streams

DOI：
10.14778/3583140.3583147
发表时间：
2023-02
期刊：
Proc. VLDB Endow.
影响因子：
0
作者：
Fuheng Zhao;Punnal Ismail Khan;D. Agrawal;A. E. Abbadi;Arpit Gupta;Zaoxing Liu
通讯作者：
Fuheng Zhao;Punnal Ismail Khan;D. Agrawal;A. E. Abbadi;Arpit Gupta;Zaoxing Liu

SketchLib: Enabling Efficient Sketch-based Monitoring on Programmable Switches

SketchLib：在可编程交换机上实现基于草图的高效监控

DOI：
发表时间：
2022
期刊：
19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22
影响因子：
0
作者：
Namkung, Hun;Liu, Zaoxing;Kim, Daehyeok;Sekar, Vyas;Steenkiste, Peter
通讯作者：
Steenkiste, Peter