System-level design optimization for security-critical cyber-physical-social systems

Jing Zeng, Laurence T. Yang, Man Lin, Zili Shao, Dakai Zhu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

Abstract

Cyber-physical-social systems (CPSS), an emerging computing paradigm, have attracted intensive attentions from the research community and industry. We are facing various challenges in designing secure, reliable, and user-satisfied CPSS. In this article, we consider these design issues as a whole and propose a system-level design optimization framework for CPSS design where energy consumption, security-level, and user satisfaction requirements can be fulfilled while satisfying constraints for system reliability. Specifically, we model the constraints (energy efficiency, security, and reliability) as the penalty functions to be incorporated into the corresponding objective functions for the optimization problem. A smart office application is presented to demonstrate the feasibility and effectiveness of our proposed design optimization approach.
Original languageEnglish
Article number39
JournalACM Transactions on Embedded Computing Systems
Volume16
Issue number2
DOIs
Publication statusPublished - 1 Apr 2017

Keywords

  • Algorithms
  • B.8.2 [performance and reliability]: performance analysis and design aids
  • Cyber-physical-social systems
  • Design
  • Design optimization
  • Performance
  • Pervasive computing
  • Security critical
  • System-level design

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture

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