CRI: CI-EN: Collaborative Research: OpenNetVM: A Software Platform Enabling Network Function Virtualization Research

CRI：CI-EN：协作研究：OpenNetVM：支持网络功能虚拟化研究的软件平台

• 批准号: 1823236
• 负责人: Timothy Wood
• 金额: $ 32.53万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1823236&HistoricalAwards=false
• 关键词: CRI; CI; EN; Collaborative; Research

Network Function Virtualization is a "disruptive" technology that changes the network from a transport pipe to a software-defined infrastructure offering flexible services. By transforming network functions to dynamically allocated software containers, new types of applications can be supported along with better network management. OpenNetVM is an open source software platform that seeks to lower the barrier for researchers wishing to explore challenges in this area, and for developers wishing to evaluate new types of network services. This project will provide a robust and flexible foundation that will enable new innovations in these areas. The principal investigators will engage the community to encourage adoption through frequent tutorials and demonstrations. Communication Networks have increasingly become `software based'. Network Function Virtualization (NFV) provides a high-performance network data plane (e.g., middleboxes like firewalls, proxies) and is currently seeing both research and industry interest. NFV research has been stymied by the inadequate software platforms that either offer only very low-level access to packet data (making it difficult to evaluate complex services), or are based on traditional packet-processing approaches that have very poor performance for current-day applicability. The researchers will maintain OpenNetVM as an open-source (BSD (Berkeley Software Distribution) license) software infrastructure, providing high-level abstractions with an underlying framework that provides wire-speed performance, primitives for scheduling, and scalability, that offers both industry and academic researchers a way to quickly and conveniently build network functions. OpenNetVM runs network functions in lightweight containers, easily combined to form complex "service chains". The project seeks to provide improved support for real middleboxes with OpenNetVM by adding user space protocol stacks enabling more complex NFs and services, substantially expanding the types of applications supported. The project also expands OpenNetVM to support many NFs that share each CPU core, and distributed deployments where NFs are spread across a cluster, thus enabling research into NFV resource management, NF placement, and complex service chaining. Finally, OpenNetVM will be extended to expose low-level performance metrics that will enable research into automated resource management platforms. To facilitate adoption the researchers will provide comprehensive documentation, tutorials at major conferences, and template images using publicly accessible resources such as NSF CloudLab. The result will be a comprehensive, open source platform that can be used broadly across the networking and operating systems communities. In addition, this project supports the training of a diverse body of students, with an emphasis on preparing a mix of undergraduate and graduate students for entering the high demand field of software-based networks.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.

网络功能虚拟化是一种“颠覆性”技术，它将网络从传输管道转变为提供灵活服务的软件定义基础设施。通过将网络功能转变为动态分配的软件容器，可以支持新型应用程序以及更好的网络管理。 OpenNetVM 是一个开源软件平台，旨在为希望探索该领域挑战的研究人员以及希望评估新型网络服务的开发人员降低障碍。该项目将为这些领域的新创新提供坚实而灵活的基础。主要研究人员将与社区互动，通过频繁的教程和演示来鼓励采用。通信网络已日益变得“基于软件”。网络功能虚拟化 (NFV) 提供高性能网络数据平面（例如防火墙、代理等中间件），目前引起了研究和行业的兴趣。 NFV 研究一直受到软件平台不足的阻碍，这些平台要么只提供对数据包数据的非常低级别的访问（使得评估复杂服务变得困难），要么基于传统的数据包处理方法，而这些方法在当今的性能非常差适用性。研究人员将维护 OpenNetVM 作为开源（BSD（伯克利软件分发）许可证）软件基础设施，提供高级抽象和底层框架，该框架提供线速性能、调度原语和可扩展性，为行业和学术研究人员快速便捷地构建网络功能的一种方法。 OpenNetVM 在轻量级容器中运行网络功能，可以轻松组合形成复杂的“服务链”。该项目旨在通过添加用户空间协议栈来支持更复杂的 NF 和服务，从而大幅扩展支持的应用程序类型，从而通过 OpenNetVM 为真实中间件提供改进的支持。该项目还扩展了 OpenNetVM，以支持共享每个 CPU 核心的许多 NF，以及 NF 分布在集群中的分布式部署，从而支持对 NFV 资源管理、NF 放置和复杂服务链的研究。最后，OpenNetVM 将进行扩展以公开低级性能指标，从而支持对自动化资源管理平台的研究。为了促进采用，研究人员将使用 NSF CloudLab 等可公开访问的资源在主要会议上提供全面的文档、教程和模板图像。其结果将是一个全面的开源平台，可以在网络和操作系统社区广泛使用。 此外，该项目支持对多元化学生的培训，重点是让本科生和研究生为进入高需求的基于软件的网络领域做好准备。该奖项反映了 NSF 的法定使命，并被认为是值得的通过使用基金会的智力优势和更广泛的影响审查标准进行评估来获得支持。

项目成果

Managing State for Failure Resiliency in Network Function Virtualization

管理网络功能虚拟化中的状态以实现故障恢复

• DOI: 10.1109/lanman49260.2020.9153271
• 发表时间: 2020-07
• 期刊: 2020 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN
• 作者: Kulkarni, Sameer G;Ramakrishnan, K. K.;Wood, Timothy
• 通讯作者: Wood, Timothy

NFVnice: Dynamic Backpressure and Scheduling for NFV Service Chains

NFVnice：NFV 服务链的动态背压和调度

• DOI: 10.1109/tnet.2020.2969971
• 发表时间: 2020-04
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Kulkarni, Sameer G.;Zhang, Wei;Hwang, Jinho;Rajagopalan, Shriram;Ramakrishnan, K. K.;Wood, Timothy;Arumaithurai, Mayutan;Fu, Xiaoming
• 通讯作者: Fu, Xiaoming

REINFORCE: Achieving Efficient Failure Resiliency for Network Function Virtualization-Based Services

强化：为基于网络功能虚拟化的服务实现高效的故障恢复能力

• DOI: 10.1109/tnet.2020.2969961
• 发表时间: 2020-04
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Kulkarni, Sameer G.;Liu, Guyue;Ramakrishnan, K. K.;Arumaithurai, Mayutan;Wood, Timothy;Fu, Xiaoming
• 通讯作者: Fu, Xiaoming

A SmartNIC-based Load Balancing and Auto Scaling Framework for Middlebox Edge Server

基于SmartNIC的中间盒边缘服务器负载均衡和自动伸缩框架

• DOI: 10.1109/nfv-sdn53031.2021.9665167
• 发表时间: 2021-11
• 期刊: 2021 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN
• 作者: Ni, Zhen;Wei, Cuidi;Wood, Timothy;Choi, Nakjung
• 通讯作者: Choi, Nakjung

OFC: an opportunistic caching system for FaaS platforms

• DOI: 10.1145/3447786.3456239
• 发表时间: 2021-04-21
• 期刊: Proceedings of the Sixteenth European Conference on Computer Systems
• 作者: Djob Mvondo;Mathieu Bacou;Kevin Nguetchouang;Lucien Ngale;Stéphane Pouget;Josiane Kouam;Renaud Lachaize
• 通讯作者: Renaud Lachaize