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

确保当代多核体系结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，然而迁移实际上由于缓存预热开销和增加的互连流量而降低了时间的可预测性。本文针对嵌入式环境中的任务迁移提出了一种全新的方法来提高多核体系结构的时间可预测性，主要贡献有三个方面：1.基于静态和动态分析的成本/收益权衡来开发新的策略来指导迁移。设计在任务迁移下提高时间可预测性的机制，为跨核及其缓存的主动和反应性实时数据移动提供明确支持。提升速率和带宽自适应机制以及监控能力，以提高任务迁移下的可预测性。该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对时序可预测性的好处。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.