CSR: CC: Large: A High-Performance Data Center Operating System

CSR：CC：大型：高性能数据中心操作系统

• 批准号: 1518702
• 负责人: Thomas Anderson
• 金额: $ 90万
• 依托单位: University of Washington
• 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: 2015-07-15 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1518702&HistoricalAwards=false
• 关键词: CSR; CC; Large; Performance; Data

Today, many popular cloud data center applications spend a huge fraction of their time running operating system code. Examples include the backend services implementing Facebook, Google, Amazon, and other popular websites. These applications spend much of their time moving, processing, and storing data. In a traditional operating system, however, the operating system kernel mediates all network and storage access, as a means to provide application, data, and network security within the data center. Thus, the code path for a network or storage request to traverse from application code through the kernel to the device hardware (and back again) is many times longer than the minimum required.This work streamlines the performance of these applications without compromising security by changing the roles of the operating systems kernel, application runtime library, and device hardware. Instead, the traditional role of the kernel is split in two. Applications have direct access to virtualized I/O devices, allowing most I/O operations to skip the kernel entirely. The kernel operates primarily in the control plane, establishing and limiting data plane connections in accordance with the operating system security policy. The work has the potential for dramatic improvements in application and server performance, as well as data center energy consumption and protocol flexibility. Network and storage intensive data center applications are used by literally billions of people around the globe on a daily basis. By reducing the overhead of network and storage these applications, the hardware needed to support existing services can be reduced, making it cheaper for new services to be developed.

如今，许多流行的云数据中心应用程序花费了很大一部分时间运行操作系统代码。 示例包括实施Facebook，Google，Amazon和其他流行网站的后端服务。 这些应用程序花费了大部分时间移动，处理和存储数据。但是，在传统的操作系统中，操作系统内核介导了所有网络和存储访问，作为在数据中心内提供应用程序，数据和网络安全的手段。 因此，网络或存储请求的代码路径是从应用程序代码到内核到设备硬件（然后返回）的代码路径比所需的最小值长很多倍。此工作简化了这些应用程序的性能，而不会通过更改安全性操作系统内核，应用程序运行时库和设备硬件来损害安全性。取而代之的是，内核的传统作用分为两分。 应用程序可以直接访问虚拟化的I/O设备，从而使大多数I/O操作完全跳过内核。 内核主要在控制平面中运行，根据操作系统安全策略建立和限制数据平面连接。 这项工作有可能在应用和服务器性能以及数据中心能源消耗和协议灵活性方面进行显着改善。 网络和存储密集型数据中心应用程序每天都在全球数十亿人使用。 通过减少网络和存储这些应用程序的开销，可以减少支持现有服务所需的硬件，从而使开发新服务更便宜。