CSR-PDOS: Optimizing the Client/Server Environment Subject to User Satisfaction

本项目通过使系统软件直接优化以满足个人用户的满意度的概念，重新审视交互式客户机/服务器计算中的系统问题。对系统软件级别的特定配置或参数选择的满意度因用户而异。该项目测试的假设是，一个薄的，非侵入性的用户界面，在某些情况下结合学习算法，可以传达个人用户的满意度水平，或其他指导，直接到系统软件有足够的细节，让系统软件，以有效地定制其决策，个人用户。为了收集关于这一假设的证据，该项目正在将这一概念应用于瘦客户机、桌面替代系统和现代Web应用程序等环境中出现的几个系统问题。其中包括：电源管理中的动态电压和频率缩放算法;远程显示系统中的推测;线程、进程和VM调度;以及多核处理器中的线程分配/迁移。这些领域的工作通过以下方式统一起来：（1）设计、实现和评估（通过用户研究）系统软件的有效用户界面;（2）寻求确定明确和隐含的用户反馈的适当组合;（3）确定学习的作用，以最大限度地减少明确反馈的数量。如果假设成立，它将说明一种新的方法来构建更令个人用户满意的系统。

This project reexamines systems problems in interactive client/server computing through the concept of having systems software optimize directly for the expressed satisfaction of the individual user. Satisfaction with a particular configuration or choice of parameters at the system software level varies dramatically from user to user. The project tests the hypothesis that a thin, nonintrusive user interface, in some cases combined with learning algorithms, can convey the individual user's satisfaction level, or other guidance, directly to the systems software with sufficient detail to allow the systems software to effectively customize its decisions to that individual user. To gather evidence about the hypothesis, the project is applying the concept to several systems problems that arise in contexts such as thin clients, desktop replacement systems, and modern web applications. These include: dynamic voltage and frequency scaling algorithms in power management; speculation in remote display systems; thread, process, and VM scheduling; and thread assignment/migration in multicore processors. The work in these areas is unified through: (1) the design, implementation, and evaluation (through user studies) of effective user interfaces to systems software, (2) seeking to determine an appropriate mix of explicit and implicit user feedback, and (3) determining the role of learning to minimize the amount of explicit feedback. If the hypothesis holds, it will illustrate a new way to build systems that are more satisfying for individual users.