NeTS: Small: Software-Defined Data Plane for Datacenters

NeTS：小型：数据中心的软件定义数据平面

• 批准号: 1616774
• 负责人: Arvind Krishnamurthy
• 金额: $ 40万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1616774&HistoricalAwards=false
• 关键词: NeTS; Small; Software; Defined; Data

Many popular cloud applications that power our daily lives, such as Facebook, Google, Amazon, and Twitter, spend a large fraction of their time performing network operations. Even supposedly computationally intensive applications such as parallel machine learning are often limited by communication performance. Datacenter network designers have been racing to keep up with this increased reliance on network usage, but they have had only limited success in achieving desirable system properties as they are often constrained by the lack of switch support for deploying new protocols.Fortunately, innovation in switch and network interface card (NIC) design is now focused on building not just faster but also more flexible packet processing devices. Whereas traditional switches and NICs typically provide functionality to route and forward packets, many upcoming switches have support for transforming the packet as well as performing computations on the packet before routing it towards its destination. These devices have the potential to revolutionize the use of networking devices within datacenters as they provide the ability to reconfigure packet processing and deploy new protocols.This project will investigate flexible packet processing functionality on NICs and switches and their potential for optimizing high performance networked systems inside the datacenter. This work provides new abstractions and building blocks for the use of flexible packet processing pipelines, while respecting the hardware constraints that will be associated with these technologies. The researchers will examine how the resulting data plane functionality can be used to implement resource allocation mechanisms inside the datacenter so as to enable congestion control, performance isolation, adaptive routing, and efficient load balancing. They will also examine implementing on the NICs and switches some of the packet processing traditionally done in end-host software. The goal is to show how and by how much flexible packet processing can benefit widely used datacenter applications and also provide guidance on what features that future iterations of the hardware should provide in order to significantly improve application performance.Broader Impact: Network-intensive datacenter applications are used by literally billions of people around the globe on a daily basis. By improving the efficiency of network operations, results from this project can dramatically reduce the cost of provisioning existing public services, like Wikipedia, as well as make it much cheaper for new public services to be developed. By enabling the deployment of more effective resource allocation protocols on flexible switches, this work also has the potential to provide substantial improvements to the networking performance within datacenters. The researchers will publicly release the developed software and enable a rich set of network protocols and high-performance datacenter applications.

许多流行的云应用程序可以为我们的日常生活提供动力，例如Facebook，Google，Amazon和Twitter，他们花费大量时间进行网络操作。 即使据称是计算密集型应用程序（例如平行机器学习），通常也受到沟通性能的限制。 数据中心网络设计师一直在竞争，以跟上这种对网络使用的依赖，但是他们在实现理想的系统属性方面的成功率很高，因为他们通常会受到缺乏开关支持新协议的限制。不幸的是，Switch和网络界面卡中的创新（NIC）设计现在不仅仅是构建更具元素的包装件，而且更加灵活的包装配件。尽管传统的开关和NIC通常为路由和前进数据包提供功能，但许多即将到来的开关都支持转换数据包以及在数据包将其路由到达目的地之前执行计算。 这些设备有可能彻底改变数据中心内的网络设备的使用，因为它们提供了重新配置数据包处理和部署新协议的能力。该项目将调查NIC和开关上的灵活数据包处理功能及其在数据中心内优化高性能网络系统的潜力。这项工作为使用灵活的数据包处理管道提供了新的抽象和构建块，同时尊重与这些技术相关的硬件约束。 研究人员将研究如何使用产生的数据平面功能来实现数据中心内部的资源分配机制，以实现拥塞控制，绩效隔离，自适应路由和有效的负载平衡。 他们还将检查对NIC的实施，并切换一些传统上在终端软件中进行的数据包处理。目的是展示如何以及通过多少灵活的数据包处理可以使使用广泛使用的数据中心应用程序受益，并为硬件未来迭代的未来功能提供指导，以显着提高应用程序性能。BOADER的影响：网络密集型数据中心应用程序实际上是全球数十亿人使用的。通过提高网络运营的效率，该项目的结果可以大大降低提供现有公共服务（例如Wikipedia）的成本，并使得开发新的公共服务的便宜得多。通过在灵活开关上部署更有效的资源分配协议，这项工作还可以为数据中心内的网络性能提供大量改进。 研究人员将公开发布开发的软件，并启用一系列网络协议和高性能数据中心应用程序。