Cyberphysical Systems: Workload Modeling and Design Optimization

Author

Marculescu, Radu ; Bogdan, Paul

Author_Institution

Carnegie Mellon Univ., Pittsburgh, PA, USA

Volume

28

Issue

4

fYear

2011

Firstpage

78

Lastpage

87

Abstract

Built to interact with the physical world, a cyberphysical 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 - such as master equations, renormalization group theory, and fractional derivatives - are implemented in the optimization loop.

Keywords

embedded systems; optimisation; programming; statistical analysis; CPS design; CPS workload modeling; cyberphysical system; fractional derivative; master equation; nonstationarity characteristic; optimization loop; renormalization group theory; self-similarity characteristic; statistical physics approach; Computational modeling; Cyberspace; Equations; Fractals; Mathematical model; Stochastic processes; Workflow management software; cyberphysical systems; design and test; fractals; fractional calculus; statistical physics; stochastic processes; workloads;

fLanguage

English

Journal_Title

Design & Test of Computers, IEEE

Publisher

ieee

ISSN

0740-7475

Type

jour

DOI

10.1109/MDT.2010.142

Filename

5661751