CAREER: Real-Time Platform Virtualization in Multiprocessor Systems: Temporal Isolation and Allocation

职业：多处理器系统中的实时平台虚拟化：时间隔离和分配

• 批准号: 0953585
• 负责人: Nathan Fisher
• 金额: $ 40万
• 依托单位: Wayne State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0953585&HistoricalAwards=false
• 关键词: CAREER; Real; Time; Platform; Virtualization

The standard platform architecture for real-time embedded systems has increasingly shifted away from single processor platforms to multiprocessor platforms. The recent shift towards multiprocessor platform architectures has resulted in increased consolidation and integration of multiple subsystems upon shared processing platforms, aided in part by virtualization execution environment (VEE) technologies. The potential impact of the subsystem-integration approach is a significant reduction in the size, weight, and power (SWaP) requirements of integrated systems over non-integrated systems. However, the tighter physical integration of subsystems upon a shared processing platform introduces fundamental questions on how the processor's computational resources should be effectively allocated among the contingent subsystems and how temporal isolation between real-time subsystems should be achieved. The overall objective of this NSF CAREER project is to obtain solutions to the above questions via development of effective real-time scheduling algorithms, formal analysis, and tools for supporting tunable temporal isolation of subsystems upon a multicore VEE platform. The specific research objectives of the project are: effective system and subsystem real-time scheduling algorithms for VEE frameworks, protocols for resource sharing between subsystems, schedulability analysis, and implementation of a VEE for controlling a real-time robotic system. The educational goal of the project is to increase overall awareness and understanding of the importance of building and verifying temporally correct systems by: recruiting graduate and undergraduate students from underrepresented populations into embedded systems research; developing embedded systems curriculum and outreach training program; introducing K-12 students to general embedded systems concepts; and developing online real-time systems repository for students, researchers, and faculty.

实时嵌入式系统的标准平台架构已逐渐从单处理器平台转向多处理器平台。 最近向多处理器平台架构的转变导致共享处理平台上多个子系统的整合和集成增加，这在一定程度上得益于虚拟化执行环境 (VEE) 技术。 子系统集成方法的潜在影响是，与非集成系统相比，集成系统的尺寸、重量和功耗 (SWaP) 要求显着降低。 然而，共享处理平台上子系统更紧密的物理集成引入了一些基本问题，即如何在临时子系统之间有效地分配处理器的计算资源以及如何实现实时子系统之间的时间隔离。 该 NSF CAREER 项目的总体目标是通过开发有效的实时调度算法、形式分析和支持多核 VEE 平台上子系统可调时间隔离的工具来获得上述问题的解决方案。该项目的具体研究目标是：VEE框架的有效系统和子系统实时调度算法、子系统之间的资源共享协议、可调度性分析以及用于控制实时机器人系统的VEE的实现。 该项目的教育目标是通过以下方式提高对构建和验证时间正确系统重要性的整体认识和理解： 从代表性不足的人群中招募研究生和本科生进行嵌入式系统研究；开发嵌入式系统课程和外展培训计划；向 K-12 学生介绍一般嵌入式系统概念；为学生、研究人员和教师开发在线实时系统存储库。