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

拟议的研究将探讨如何建立直观的系统，管理移动的计算的复杂性。 自调整参数转换的方法在移动的系统之上插入软件转换层-该层仅向用户暴露少量有意义的、良好校准的参数。 通过从一个技术工具箱中借鉴，该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。 这一层通过简单直观的界面将用户输入转换为策略，不断调整底层移动的system.Two的案例研究，以证明这种技术的可行性。 首先，将建立一个翻译层，为移动的计算系统提供自调整的电源管理。 其次，将建立一个层，指导移动的服务的迁移。 移动的服务是对延迟敏感的分区应用程序的资源需求型远程组件-它在服务器之间迁移以响应用户的移动性，从而保持与客户端的高带宽、低延迟连接。 将开发一个可跨翻译层共享的可重用组件工具箱，以及一种方法，为何时使用每个组件提供指导。

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.