SchedUling on heterogeneous Mobile Multicores based on quality of ExpeRience

用户希望移动设备看起来速度快、反应灵敏，同时电池续航时间长、不会过热。同时实现这两个目标是困难的。用于评估移动优化的工作负载很少代表真正的移动应用程序，并且忽略了用户的感知，只关注性能。因此，硬件和软件设计师的决定不尊重用户的体验质量（QoE）。设备要么运行得比最佳QoE所需的速度快，浪费能量，要么设备运行得太慢，破坏QoE。SUMMER将开发第一个框架来记录、回放和分析代表和测量真实用户体验的移动工作负载。我们的工作将首次揭示用户的QoE和能源消耗之间真正的帕累托权衡。这个项目的结果将允许其他人，从计算机架构师到库开发人员，以QoE作为他们的优化目标来做出设计决策。为了展示这种新方法的强大功能，我们将为考虑QoE的异构移动处理器设计第一个节能操作系统调度器。随着异构移动处理器刚刚进入市场，迫切需要一个能够最优地使用它们的调度器。我们期望我们的调度器比ARM BIG上的标准Linux调度器平均节能至少50%。小系统。

Users want mobile devices that appear fast and responsive, but at the same time have long lasting batteries and do not overheat. Achieving both of these at once is difficult. The workloads employed to evaluate mobile optimisations are rarely representative of real mobile applications and are oblivious to user perception, focussing only on performance. As a result hardware and software designers' decisions do not respect the user's Quality of Experience (QoE). The device either runs faster than necessary for optimal QoE, wasting energy, or the device runs too slowly, spoiling QoE. SUMMER will develop the first framework to record, replay, and analyse mobile workloads that represent and measure real user experience. Our work will expose for the first time the real Pareto trade-off between the user's QoE and energy consumption. The results of this project will permit others, from computer architects up to library developers, to make their design decisions with QoE as their optimisation target. To show the power of this new approach, we will design the first energy efficient operating system scheduler for heterogeneous mobile processors which takes QoE into account. With heterogeneous mobile processors just now entering the market, a scheduler able to use them optimally is urgently needed. We expect our scheduler to be at least 50% more energy efficient on average than the standard Linux scheduler on an ARM BIG.LITTLE system.