Accession Number:

AD1087870

Title:

Analyzing Real-Time Scheduling of Cyber-Physical Resilience

Descriptive Note:

Conference Paper

Corporate Author:

Carnegie-Mellon University, Software Engineering Institute Pittsburgh United States

Report Date:

2018-01-01

Pagination or Media Count:

24.0

Abstract:

Cyber-Physical Systems CPS involve software executing on a computer that interacts with its physical environment. Common steps in the design and analysis of such systems are model the physical environment, develop software to interact with this physical environment, specify timing requirements of software, configure the software e.g., assign priorities, and then analyze the timing requirements for a given configuration. This approach works but tends to have low resilience to disruption. With the pervasive use of CPS, there is an increasing need for developing timing analysis methods that achieve increased resilience by modeling the linkage between the execution of software and the physical environment. In this paper, we present a new model that describes the current state of the physical environment in terms of how tolerant it is to disruption of the software system we call this model Cyber-Physical Resilience CPR. We present an exact schedulability test for this model and implement a tool that performs this schedulability test. Through evaluation of randomly-generated tasksets, we find that i for tasksets with at most five tasks, for all tasksets in our evaluation, our new schedulability test never took longer than 15h, ii in most cases, our new schedulability test finishes much faster secondsminutes,and iii thanks to our CPR model, our new schedulability test makes it possible to guarantee schedulability on a single processor even for tasksets with utilization 400.

Subject Categories:

  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE