物理融合系统：负荷建模与设计优化.docVIP

Cyber physical Systems Workload Modeling and Design Optimization 物理融合系统：负荷建模与设计优化 学号：200909030227 姓名：张聪 Paul Bogdan and Radu Marculescu Carnegie Mellon University Built to interact with the physical world, a cyber physical system (CPS) must be efficient, reliable, and safe. To optimize such systems, a science of CPS design considering workload characteristics (e.g., self-similarity and nonstationarity) must be established. CPS modeling and design are greatly improved when statistical physics approaches梥uch as master equations, renormalization group theory, and fractional derivatives梐re implemented in the optimization loop 物理融合系统（CPS）是为了实现与实体世界相互作用而建立的，因此该系统必须有效、可靠并且安全。为了优化这样的系统，考虑到工作负荷的特点（例如自相似性和非恒定性），物理融合系统的设计技术必须是确定的。而统计物理学方法—例如主方程，重整化群理论，还有分数阶微分—在最优化循环中的应用，使得CPS的建模和设计得到了巨大的改良。 WE LIVE IN a world in which computation, communication, and control are continuously and increasingly interwoven to produce functionally rich and energy-efficient cyber physical systems. We understand a cyber physical system (CPS) to mean a network of embedded computational devices and an associated set of wired or wireless networks that can monitor and control various physical processes that occur in the environment (e.g., a power grid, transportation and communication network, or network of medical devices). Although the focus of the embedded systems community is on building computational models for specific embedded applications, in the CPS area the goal is not only to establish a reliable communication infrastructure between such computational elements, but also to include time- and feedback-based control as intrinsic components of the programming model. This goal lets us generalize the embedded-systems computational paradigm so that more-direct interaction between the system and physical world becomes possible. For instance, vehicular networks describing the cars抦ovement in a city or the swarms of bacteria used for diagnostic or drug delivery purposes are CPS examples that are disti