CSR---VCM: Foundations for a Programmable Self-Managing Hosting Center

该项目旨在利用虚拟机计算的进步来增强虚拟服务器基础设施自动化资源管理的基础。它侧重于自主托管中心的体系结构、机制和策略，这些托管中心能够感知和响应以自动适应流量需求或资源条件的变化，同时保持人力管理负担不变。它解决了计算服务实用程序的关键要素：配置和实例化操作系统映像和服务，将它们绑定到服务器资源，并在系统和应用程序级别控制它们的交互。该研究包括开发和评估基于网络的实验室和试验台软件，用于自主数据中心和自适应服务的研究。该测试平台响应了自主计算研究界对新工具的需求，并且具有加速自主计算研究进展的潜力。测试平台的核心功能是一组机制，用于支持托管服务和自治数据中心本身的自我监视和自适应。测试平台为用户提供了为资源管理策略和适应性的所有方面开发和安装控制器的工具，并以交互方式对选定的工作负载和故障负载进行实验。它将为研究人员和学生提供预打包的可部署应用程序和集成负载生成，具有沿各种维度调制请求流的功能，以及控制器策略及其交互的实验。该项目还涉及对自我管理服务、控制器策略和仪器数据分析的研究。项目的这些元素使用试验台作为实验评估的工具。

This project seeks to leverage advances in virtual machine computing to enhance the foundations of automated resource management for virtual server infrastructure. It focuses on architecture, mechanisms, and policies for autonomic hosting centers that sense-and-respond to adapt automatically to changes in traffic demands or resource conditions, while holding human administrative burdens constant. It addresses key elements of a computing service utility: configuring and instantiating operating system images and services, binding them to server resources, and controlling their interactionsat the system and application level.The research includes development and evaluation of a Web-based laboratory and testbed software for research in autonomic data centers and adaptive services. The testbed responds to a need for new tools that is recognized in the autonomic computing research community, and it has potential to accelerate progress in autonomic computing research. The core capability of the testbed is a set of mechanisms to enable self-monitoring and adaptation by the hosted services and the autonomic data center itself. The testbed provides facilities for users to develop and install controllers for all aspects of resource management policy and adaptation, and experiment with selected workloads and faultloads interactively. It will provide researchers and students with prepackaged deployable applications and integrated load generation, with functions to modulate the request stream along various dimensions and experiment with controller policies and their interactions.The project also involves research in self-managing services, controller policies, and analysis of instrumentation data. These elements of the project use the testbed as a tool for experimental evaluation.