CSR: Small: Enabling In-Network Computation for Datacenter Applications

CSR：小型：为数据中心应用程序启用网络内计算

• 批准号: 1714508
• 负责人: Arvind Krishnamurthy
• 金额: $ 47.5万
• 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: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1714508&HistoricalAwards=false
• 关键词: CSR; Small; Enabling; Network; Computation

The emergence of programmable network devices, such as reconfigurable switches and customizable network accelerators, along with the increasing traffic of data centers, motivate the use of in-network computation. Today's latest reconfigurable switches support configurable per-packet processing, including customizable packet headers, customizable packet processing, and the ability to maintain state inside the switch. Given this hardware trend, this project seeks to offload computing operations onto intermediate networking devices for a broad range of application services ranging from distributed storage to big data analytics and distributed machine learning, thus optimizing the operations of data center applications. The project's primary goal is to build a programming framework to enable in-network computing using programmable networking hardware. In designing and implementing this framework, the project addresses the following research questions: First, the project tackles how to best integrate reconfigurable switches and network accelerators into a data center network, as they both have limitations in terms of the operations that they can execute. Second, a key project goal is to identify what is a simple and yet powerful programming application program interface (API) for these programmable devices to support a broad class of applications. Third, another key challenge addressed is how to keep state and computations on these devices consistent with that of application servers, and how to co-design data center applications to take advantage of the performance benefits enabled by this paradigm. This project seeks to improve the efficiency of network-intensive data center applications that are used by literally billions of people around the globe on a daily basis. By improving their efficiency, one can dramatically reduce the cost of data center services as well as make it much cheaper for new public services to be developed. Collaborators at various switch vendors are equal partners in this effort, providing access to new technologies as well as assisting in technology transfer to the industry. The project will integrate undergraduate students as researchers, and material from the project will be incorporated into both undergraduate and graduate courses.A key project goal is to publicly release developed software and enable a rich set of high-performance data center applications. All software will be made public as soon as they are developed, hosted via GitHub at https://github.com/arvindkrish/incbricks and accessible from the project website at the University of Washington. A mirrored version of this repository will be maintained at the University for at least five years.

可编程网络设备的出现，例如可重构开关和可自定义的网络加速器，以及数据中心的访问量不断增加，激发了网络内计算的使用。当今最新的可重新配置开关支持可配置的每包处理处理，包括可自定义的数据包标头，可自定义的数据包处理以及在交换机内维护状态的能力。鉴于这种硬件趋势，该项目旨在将计算操作卸载到中间网络设备上，以提供从分布式存储到大数据分析和分布式机器学习的广泛应用程序服务，从而优化了数据中心应用程序的操作。该项目的主要目标是建立一个编程框架，以使用可编程网络硬件启用网络计算。在设计和实施此框架时，该项目解决了以下研究问题：首先，该项目解决了如何最好地将可重构开关和网络加速器整合到数据中心网络中，因为它们都对可以执行的操作有限制。其次，一个关键的项目目标是确定这些可编程设备的简单但功能强大的编程应用程序接口（API），以支持广泛的应用程序。第三，解决的另一个关键挑战是如何在这些设备上保持状态和计算与应用程序服务器相一致的设备，以及如何共同设计数据中心应用程序以利用该范式启用的性能益处。该项目旨在提高网络密集型数据中心应用程序的效率，这些应用程序每天都在全球数十亿人使用。通过提高其效率，人们可以大大降低数据中心服务的成本，并使开发新的公共服务的价格便宜得多。各种交换机供应商的合作者在这项工作中是平等的合作伙伴，可以访问新技术，并协助对行业的技术转移。 该项目将将本科生纳入研究人员，该项目的材料将纳入本科和研究生课程中。一个关键的项目目标是公开发布开发的软件并启用一系列丰富的高性能数据中心应用程序。所有软件都将在开发后立即公开，该软件通过Github托管，网址为https://github.com/arvindkrish/incbricks，并可以从华盛顿大学的项目网站访问。该存储库的镜像版本将在大学维护至少五年。