CRII: NeTS: A Coordinate System based Network for Data Plane Scalability and High Throughput

CRII：NeTS：基于坐标系的网络，实现数据平面可扩展性和高吞吐量

• 批准号: 1464335
• 负责人: Chen Qian
• 金额: $ 17.5万
• 依托单位: University of Kentucky Research Foundation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1464335&HistoricalAwards=false
• 关键词: CRII; NeTS; Coordinate; System; based

The growing popularity of cloud services and big data processing requires design of high-bandwidth networks that provide scalability for tens of thousands of servers and flexibility for incremental growth of network size. Recent work has been investigating new network architecture and protocols to achieve three important design goals of large data centers, namely, flexibility for incremental growth, scalability for large networks, and high throughput. Unfortunately, existing data center network architectures focus on one or two of the above properties and pay little attention to the others.This research entails a systematic study of the architecture and design issues of a novel coordinate-based network. The design innovations include (i) a random and dense interconnect of network switches to achieve flexibility, (ii) a novel greedy routing protocol on virtual coordinates to replace address-based routing and achieve forwarding plane scalability, and (iii) extension of the greedy routing protocol for high-throughput multi-path routing.In addition, the design innovations provide network capabilities to support important data center services, such as key-value operations and multicast. Compared to existing work, the coordinate-based network provides new opportunities to achieve these services without exhausting data plane memory.The research objectives include the following: (i) design, implementation, and evaluation of the proposed network architecture and protocols; (ii) design and implementation of scalable data center services in the proposed network, including key-value operations and multicast; (iii) design of the update and recovery methods to maintain a consistent network; and (iv) development of a unified simulator for data center network protocols and prototyping the proposed network.The results of this research contribute towards enhancing the performance and scalability of current data center networks, the creation of a novel greedy routing protocol using virtual coordinates, and the education of undergraduate and graduate students on network protocol design. Given the growing importance of big data applications and cloud computing, the proposed research has the potential to influence network operation in academia, industry, business, and government. The results of this research will be incorporated into the undergraduate course Computer Networking and Introduction to Database Systems and graduate courses Advanced Computer Networking and Data Center Networks, Cloud Computing, and Future Internet taught by the PI at the University of Kentucky. Students trained in this project will be capable to develop new protocols and conduct network experiments in various test tools. The PI is also making effort to integrate under-represented minorities. Finally, the simulator built for this work will be disseminated in the form of an open-source prototype.

云服务和大数据处理的日益普及需要设计高带宽网络，这些网络为数万服务器提供可扩展性，并为网络尺寸增长的灵活性提供灵活性。最近的工作一直在调查新的网络体系结构和协议，以实现大型数据中心的三个重要设计目标，即增强增长的灵活性，大型网络的可扩展性和高吞吐量。不幸的是，现有的数据中心网络体系结构集中在上述一个或两个属性上，并且很少关注其他属性。这项研究需要对基于坐标的网络的体系结构和设计问题进行系统的研究。设计创新包括（i）网络开关的随机且密集的互连以实现灵活性，（ii）在虚拟坐标上的新型贪婪路由协议，以替换基于地址的路由并实现转发平面可伸缩性，以及（iii）扩展贪婪路由协议，以提供高通用的多途径路由。多播。与现有工作相比，基于坐标的网络为实现这些服务提供了新的机会，而无需耗尽数据平面记忆。研究目标包括：（i）设计，实施和评估所提出的网络体系结构和协议； （ii）在拟议的网络中设计和实施可扩展的数据中心服务，包括键值操作和多播； （iii）设计和恢复方法的设计以维持一致的网络； （iv）开发用于数据中心网络协议的统一模拟器并原型制定提出的网络。该研究的结果有助于提高当前数据中心网络的性能和可扩展性，使用虚拟坐标的新型贪婪路由协议以及本科生和研究生对网络协议设计的教育的教育。鉴于大数据应用程序和云计算的重要性越来越重要，拟议的研究有可能影响学术界，行业，商业和政府的网络运营。这项研究的结果将纳入本科课程计算机网络和数据库系统介绍和研究生课程的高级计算机网络和数据中心网络，云计算以及肯塔基大学PI教授的未来互联网。接受该项目培训的学生将能够开发新的协议并在各种测试工具中进行网络实验。 PI还在努力整合代表性不足的少数民族。最后，为这项工作构建的模拟器将以开源原型的形式传播。