CAREER: Towards Inter-Datacenter Communication for Next-Generation Networks

在云计算环境和科学、金融、国防和其他企业中，高带宽、半专用光lambda网络代表大型数据中心承载越来越多的数据量。这些网络被认为是完美的。但是，即使在流量远低于容量的情况下，它们也会遭受意想不到的性能下降和损失率。该项目研究长距离高速运行的lambda网络的端到端特性，着眼于更好地理解损失、延迟变化和吞吐量下降。这种理解对于设计和有效使用下一代lambda网络以及实现向云计算的过渡是必要的。该项目所描述的研究将集中于光lambda网络的测量、表征、建模和通知新网络和协议设计。教育活动将使学生更容易接触到网络研究的各个方面；促进本科生和研究生的研究主动性，并利用康奈尔大学和霍华德大学（一所历史悠久的黑人学院和大学）之间的（跨学科）合作。智力优势：基础科学需要控制良好的实验和观察。本项目中描述的研究将产生新的网络测量仪器，以及构建高性能网络和协议所需的实验知识体系。研究议程有三个主要组成部分。- PI设计的软件定义网络适配器（SDNA）的进一步发展。SDNA提供光学lambda网络的精确和可重复的测量。通过实现极高的精度，SDNA可以揭示穿越高速网络的流的复杂性。-使用SDNA测量和表征光lambda网络。这些测量将有助于解释在低数据速率下观察到的数据包丢失，并揭示网络行为的新方面。-研究和部署新的网络协议，提高应用程序感知的端到端性能。新的网络协议将允许应用程序开发人员和数据中心运营商更好地利用底层光网络的容量。更广泛的影响：教育/推广议程旨在培养新一代网络研究人员的环境，他们将对动手实验产生浓厚的兴趣。有两个主要组成部分：-本科生和研究生以及教师在夏季和一个学期的课程中有研究机会。这将包括探索SDNA设备的硬件和软件层的设计，并使用SDNA进行网络研究和分析网络测量。-与霍华德大学（HBCU）合作开展网络研究，激励下一代未被充分代表的少数族裔研究人员。

High-bandwidth, semi-private optical lambda networks carry growing volumes of data on behalf of large datacenters, both in cloud computing environments and for scientific, financial, defense, and other enterprises. These networks are treated as if they are perfect. However, it is not uncommon for them to suffer from unexpected performance degradations and loss rates, even when traffic is well-below capacity. This project studies end-to-end characteristics of lambda networks running at high speeds over long distances, with an eye toward better understanding loss, latency variations, and degraded throughput. This understanding is necessary for the design and efficient use of next-generation lambda networks and to enable the transition to cloud computing.The research described in this project will focus on measuring, characterizing, modeling, and informing new network and protocol design for optical lambda networks. The educational activities will make aspects of network research more accessible to students; promote research initiative among undergraduate and graduate students, and leverage (interdisciplinary) collaborations between Cornell and Howard University, a historically black college and university (HBCU).Intellectual Merit: Fundamental science requires well controlled experiments and observation. The research described in this project will produce novel network measurement instruments, along with a body of experimental knowledge needed for building networks and protocols that exhibit high performance. The research agenda has three major components.- Further Development of the Software Defined Network Adapter (SDNA) that the PI has designed. SDNA provides precise and reproducible measurements of an optical lambda network. By achieving extremely high levels of precision, SDNA can shed light on the complexities of flows that traverse high-speed networks.- Use of SDNA to measure and characterize optical lambda networks. These measurements will help explain observed packet loss at low data rates and reveal new aspects of network behavior.- Research and deploy new network protocols that enhance end-to-end performance perceived by applications.New network protocols will allow application developers and datacenter operators to better take advantage of the capacity of the underlying optical networks.Broader Impacts: The education/outreach agenda is designed to foster an environment for developing a new generation of network researchers who will take a keen interest in hands-on experimentation. There are two major components:- Research opportunities for undergraduate and graduate students as well as faculty during the summer and in a semester-long class. This will include exploring the design of hardware and software layers for an SDNA apparatus and using SDNA to conduct network research and analyze network measurements.- A partnership with Howard University (an HBCU) to collaborate on network research and inspire the next generation of underrepresented minority researchers.