CSR: Small: Collaborative Research: Flexible Resource Management and Coordination Schemes for Lightweight, Rapidly Deployable OS/Rs

当前的云系统要么利用重量级虚拟化（在具有自己的操作系统的成熟虚拟机（VM）内运行应用程序），要么利用容器（共享单个底层操作系统的轻量级软件环境）。该合作项目旨在通过快速部署针对特定应用程序或运行时系统优化的专用操作系统和运行时（SOS/R）环境来提高云系统的效率。这将使具有特殊性能要求的应用程序的用户能够享受云基础设施的便利，而不会牺牲通用操作系统的性能或设计限制。该项目将通过以下方式推动云系统软件的发展：（a）能够开发通用的专门托管框架，允许将任意系统软件栈部署为虚拟机和本机协作，内核实例;（B）允许SOS/R环境对高度动态和可变的硬件资源可用性作出反应的一组接口和机制;（c）利用硬件虚拟化特征来托管SOS/R的新颖方法;以及（d）使用大规模的实际云工作负载对所有这些方法进行全面评估。这项工作将使云系统的用户能够有效地部署各种专门的系统架构。这不仅将增强现有云和数据中心平台的功能，还将支持部署新型操作系统和运行时。在这项工作中产生的原型系统将作为开源软件提供给公众，并将作为操作系统，虚拟化，运行时环境和通用云计算课程的教学和平台。项目生成的数据、代码和结果将无限期地在团队的网页上免费提供。所有软件包都将附有使用免费开放源码工具构建和运行这些软件包的说明。数据和结果将以压缩档案格式提供。到特定存储库（如git代码存储库）的链接将在http://hexsa.halek.co或http://prognosticlab.org上公开。

Current cloud systems leverage either heavy-weight virtualization (running applications inside full-fledged virtual machines (VMs) with their own operating systems) or containers (light-weight software environments that share a single underlying operating system). This collaborative project aims to increase the efficiency of cloud systems by enabling the rapid deployment of specialized operating system and runtime (SOS/R) environments optimized for particular applications or runtime systems. This will allow users of applications with special performance requirements to enjoy the convenience of cloud infrastructure without sacrificing performance or design constraints imposed by general-purpose operating systems.The project will advance the state of the art in cloud system software by: (a) enabling the development of a general specialized hosting framework allowing the deployment of arbitrary system software stacks as both VMs and native co-kernel instances; (b) a set of interfaces and mechanisms to allow SOS/R environments to react to highly dynamic and variable hardware resource availability; (c) novel approaches that leverage hardware virtualization features to host SOS/Rs; and (d) a thorough evaluation of all of these approaches using realistic cloud workloads at scale.This work will enable users of cloud systems to efficiently deploy diverse and specialized system architectures. This will not only enhance the capabilities of existing cloud and data center platforms, but will also enable the deployment of new types of operating systems and runtimes. Prototype systems produced in this effort will be made available to the general public as open-source software, and will also be leveraged as teaching and platforms for courses in operating systems, virtualization, runtime environments, and general cloud computing. Data, code, and results generated from the project will be made freely available indefinitely on the team's webpages. All software packages will be accompanied by instructions for building and running them using freely available open-source tools. Data and results will be made available in compressed archive formats. Links to specific repositories (such as git repositories for code) will be made public either at http://hexsa.halek.co or http://prognosticlab.org.