Corrections to and Discussion of “Implementation and Evaluation of Mixed-criticality Scheduling Approaches for Sporadic Tasks”
Abstract
The AMC-IA mixed-criticality scheduling analysis was proposed as an improvement to the AMC-MAX adaptive mixed-criticality scheduling analysis. However, we have identified several necessary corrections to the AMC-IA analysis. In this article, we motivate and describe those corrections, and discuss and illustrate why the corrected AMC-IA analysis cannot be shown to outperform AMC-MAX.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 26, 2017
- Source ID
- 10.1145/2974020
Entities
People
- Alan Burns
- Chenyang Lu
- Chris Gill
- Huang-ming Huang
- Sanjoy Baruah
- Tom Fleming
Organizations
- Air Force Research Laboratory
- National Science Foundation
- University of North Carolina at Chapel Hill
- University of York
- Washington University in St. Louis