SBIR Phase I: Stateless - Taking from the Lab to a Production Environment

这个小型企业创新研究（SBIR）第一阶段项目的更广泛影响/商业潜力是为数据中心网络中的网络基础设施带来灵活性。 虽然现代数据中心利用服务器虚拟化来快速轻松地部署应用程序和存储系统，这些存储系统可以抽象硬盘驱动器并使应用程序能够随时访问任何服务器上的任何数据，但保护网络并使网络更高效的网络基础设施仍然主要是硬件设备。 随着云流量预计将在未来几年翻两番（根据思科的数据），设备数量的快速增长（随着物联网的出现），以及安全威胁的复杂性和规模不断增加，该项目将为数据中心运营商提供快速，轻松地部署基础设施的灵活性，以跟上这些趋势和威胁。 这个小型企业创新研究（SBIR）第一阶段项目将为一种新的网络功能虚拟化方法提供技术验证，该方法由位于博尔德的科罗拉多大学发明，其中网络功能被分解为单独的处理和状态存储组件。 实验室中的实验表明，无缝的可扩展性，无中断的故障管理和处理速率与其他软件解决方案一致。 该项目的目标是在生产环境（具有真实的流量的数据中心）中运行，以便在面对生产条件时充分量化吞吐量、延迟、可扩展性、弹性和成本效益。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to bring agility to the network infrastructure in data center networks. While modern data centers leverage server virtualization to quickly and easily deploy applications, and storage systems that abstract away the hard drives and enable applications to access any data from any server at any time, the network infrastructure that protects and makes the network more efficient is still largely hardware appliances. With cloud traffic expected to quadruple over the next several years (according to Cisco), a rapid growth in the number of devices (with the Internet of Things emerging), and an ever increasing complexity and scale of security threats, this project will provide data center operators with the agility to quickly and easily deploy infrastructure to keep up with these trends and threats. In doing so, society will experience more reliable networked applications with reduced data breaches.This Small Business Innovation Research (SBIR) Phase I project will provide technical validation for a new approach to network function virtualization, invented at the University of Colorado, Boulder, in which network functions are disaggregated into separate processing and state storage components. Experiments in the lab have shown seamless scalability, disruptionless failure management, and processing rates in line with other software solutions. The goal of this project is to run in a production environment (a data center with real traffic) to fully quantify the throughput, latency, scalability, resilience, and cost effectiveness when faced with production conditions.