Implementing Mixed-Criticality Systems Upon a Preemptive Varying-Speed Processor
Abstract
A mixed criticality (MC) workload consists of components of varying degrees of importance (or "criticalities"); the more critical components typically need to have their correctness validated to greater levels of assurance than the less critical ones. The problem of executing such a MC workload upon a preemptive processor whose effective speed may vary during run-time, in a manner that is not completely known prior to run-time, is considered.
Such a processor is modeled as being characterized by several execution speeds: a normal speed and several levels of degraded speed. Under normal circumstances it will execute at or above its normal speed; conditions during run-time may cause it to execute slower. It is desired that all components of the MC workload execute correctly under normal circumstances. If the processor speed degrades, it should nevertheless remain the case that the more critical components execute correctly (although the less critical ones need not do so).
In this work, we derive an optimal algorithm for scheduling MC workloads upon such platforms; achieving optimality does not require that the processor be able to monitor its own run-time speed. For the sub-case of the general problem where there are only two criticality levels defined, we additionally provide an implementation that is asymptotically optimal in terms of run-time efficiency.
Recommended Citation
Z. Guo and S. K. Baruah, "Implementing Mixed-Criticality Systems Upon a Preemptive Varying-Speed Processor," Leibniz Transactions on Embedded Systems (LITES), vol. 1, no. 2, pp. 3:1 - 3:19, Leibniz-Zentrum für Informatik, Jan 2014.
The definitive version is available at https://doi.org/10.4230/LITES-v001-i002-a003
Department(s)
Computer Science
Keywords and Phrases
Mixed Criticalities; Varying-Speed Processor; Preemptive Uniprocessor Scheduling
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2014 Leibniz-Zentrum für Informatik, All rights reserved.
Publication Date
01 Jan 2014
Comments
Creative Commons Attribution 3.0 Germany (CC BY 3.0 DE)