CSR: Medium: Collaborative Research: Providing Predictable Timing for Task Migration in Embedded Multi-Core Environments (TiME-ME)

确保当代多核架构的嵌入式任务的最后期限变得越来越困难。实时调度依赖于任务迁移来利用多核，但是由于缓存预热开销和增加的互连流量，迁移实际上降低了时间的可预测性。这项工作促进了一种全新的方法来提高多核架构的时间可预测性，旨在嵌入式环境中的任务迁移，主要贡献有三个：1。开发基于成本/收益权衡的新策略，利用静态和动态分析来指导迁移。在任务迁移中增加时间可预测性的机制设计，为跨核心及其缓存的主动和被动实时数据移动提供显式支持。促进速率和带宽自适应机制以及监测能力，以增加任务迁移的可预测性。这项工作旨在启动一个新的研究方向，研究嵌入式多核硬件和软件之间的交互在时间可预测性方面的好处。该项目从根本上为设计和开发安全和关键任务嵌入式系统的研究和教育基础设施做出了贡献。

Assuring deadlines of embedded tasks for contemporary multicore architectures is becoming increasingly difficult. Real-time scheduling relies on task migration to exploit multicores, yet migration actually reduces timing predictability due to cache warm-up overheads and increased interconnect traffic.This work promotes a fundamentally new approach to increase the timing predictability of multicore architectures aimed at task migration in embedded environments making three major contributions:1. The development of novel strategies to guide migration based on cost/benefit tradeoffs exploiting both static and dynamic analyses.2. The devising of mechanisms to increase timing predictability under task migration providing explicit support for proactive and reactive real-time data movement across cores and their caches.3. The promotion of rate- and bandwidth-adaptive mechanisms as well as monitoring capabilities to increase predictability under task migration.The work aims at initiating a novel research direction investigating the benefits of interactions between hardware and software for embedded multicores with respect to timing predictability. This project fundamentally contributes to the research and educational infrastructure for the design and development of safety- and mission-critical embedded systems.