NeTS: Small: Collaborative Research: A Fast and Flexible Transport Architecture for High Speed Networks

NeTS：小型：协作研究：高速网络的快速灵活的传输架构

• 批准号: 1618083
• 负责人: Sachin Katti
• 金额: $ 25万
• 依托单位: Stanford University
• 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: 2016-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1618083&HistoricalAwards=false
• 关键词: NeTS; Small; Collaborative; Research; Fast

Modern datacenter networks and private wide area networks underpin cloud computing. Today, due to the lack of flexibility, operators end up over provisioning their networks significantly to avoid performance bottlenecks. This project will make these networks more efficient and more tuned to the application's needs. Specifically, this investigation explores a weighted transport abstraction as a flexible and robust substrate for systems that optimize a network's bandwidth allocation. The proposed research revisits a classic theoretical framework in this space, Network Utility Maximization (NUM), and develops a novel and practical distributed algorithm for NUM that is significantly faster than prior approaches, and is thus applicable to modern high speed networks such as datacenter fabrics. This project seeks to design and build a flexible transport architecture. The proposed architecture has two main technical components: 1. Weighted Transport: Instead of using flow rates to control the bandwidth allocation, this research develops a transport based on weights. To tune the bandwidth allocation, flows adapt a weight field in their packet headers; each link then divides its bandwidth among contending flows in proportion to their weights. 2. Fast Utility Maximization: This project leverages the weighted transport to design a network fabric that can be dynamically tuned for different bandwidth allocation objectives such as minimizing flow/coflow completion time, or service-level fairness. The PIs plan to interact closely with companies that can influence standards and build commercial systems using the proposed ideas. The education plan includes the incorporation of this research's findings into the undergraduate and graduate curricula and offers an opportunity to take a "top-down" approach to teaching transport architectures with a focus on key bandwidth allocation objectives and how they affect real applications. The course material will be made widely available through MIT OpenCourseWare and on the MITx MOOC.

现代数据中心网络和私人区域网络基于云计算。如今，由于缺乏灵活性，运营商最终会大量提供网络，以避免性能瓶颈。该项目将使这些网络更加高效，更适合应用程序的需求。具体而言，这项研究探讨了加权传输抽象作为优化网络带宽分配的系统的灵活且可靠的底物。拟议的研究重新审视了该领域的经典理论框架，网络实用性最大化（NUM），并为NUM开发了一种新颖且实用的分布式算法，该算法的速度明显比以前的方法快得多，因此适用于现代高速网络，例如DataCenter Fabrics。该项目旨在设计和建造灵活的运输体系结构。所提出的架构有两个主要的技术组成部分：1。加权传输：而不是使用流量来控制带宽分配，而是根据权重开发运输。为了调整带宽分配，请在其数据包标题中调整重量场；然后，每个链接将其带宽与与权重成比例的竞争流相分配。 2。快速公用事业最大化：该项目利用加权传输来设计一个可以动态调整的网络面料，该织物可以为不同的带宽分配目标进行调整，例如最小化流量/COFLOW完成时间或服务级别的公平性。 PIS计划与可以使用拟议思想来影响标准并建立商业系统的公司紧密互动。教育计划包括将该研究的发现纳入本科和研究生课程，并提供了一个机会，可以采用“自上而下”的方法来教授运输体系结构，重点是关注关键的带宽分配目标及其如何影响实际应用。该课程材料将通过MIT OpenCourseware和MITX MOOC广泛使用。