CAREER: Building Intuitive Mobile Systems with Self-Tuning Parameter Translation

这项拟议的研究将调查如何建立直观的系统来管理移动计算的复杂性。这种自调整参数转换方法在移动系统上方插入一个软件翻译层--该层只向用户公开少量有意义的、经过良好校准的参数。通过借鉴技术工具箱，包括应用程序工作负载的在线建模、离线基准测试、适应、反馈、应用程序提示和成本效益分析。这一层将通过简单直观的界面提供的用户输入转换为不断调整底层移动系统暴露的复杂参数集的策略。计划进行两个案例研究，以演示该技术的可行性。首先，将构建一个转换层，为移动计算系统提供自调整电源管理。第二，将建立一个层来指导移动服务的迁移。移动服务是分区的延迟敏感型应用程序的资源要求很高的远程组件，它响应用户移动性在服务器之间迁移，以保持到客户端的高带宽、低延迟连接。将开发一个可跨翻译层共享的可重复使用组件的工具箱，以及提供何时使用每个组件的指导的方法。

The proposed research will investigate how to build intuitive systems that manage the complexity of mobile computing. The approach, self-tuning parameter translation, inserts a software translation layer above the mobile system - this layer exposes only a small number of meaningful, well-calibrated parameters to the user. By drawing from a toolbox of techniques that includes on-line modeling of application workloads, off-line benchmarking, adaptation, feedback, application hints, and cost-benefit analysis. This layer transforms user input provided through the simple intuitive interface into policies that continuously tune the complex set of parameters exposed by the underlying mobile system.Two case studies are planned to demonstrate the feasibility of this technique. First, a translation layer will be build that provides self-tuning power management for mobile computing systems. Second a layer will be built that guides the migration of mobile services. A mobile service is the resource-demanding, remote component of a partitioned, latency-sensitive application - it migrates between servers in response to user mobility in order to maintain high-bandwidth, low-latency connectivity to the client. A toolbox of reusable components that can be shared across translation layers will be developed, as well as a methodology that provides guidance about when to use each component.