Robustness analysis for battery-supported cyber-physical systems
Abstract
This article establishes a novel analytical approach to quantify robustness of scheduling and battery management for battery supported cyber-physical systems. A dynamic schedulability test is introduced to determine whether tasks are schedulable within a finite time window. The test is used to measure robustness of a real-time scheduling algorithm by evaluating the strength of computing time perturbations that break schedulability at runtime. Robustness of battery management is quantified analytically by an adaptive threshold on the state of charge. The adaptive threshold significantly reduces the false alarm rate for battery management algorithms to decide when a battery needs to be replaced.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 10, 2013
- Source ID
- 10.1145/2442116.2442119
Entities
People
- Fumin Zhang
- S. Mukhopadhyay
- Zhenwu Shi
Organizations
- Division of Computer and Network Systems
- Division of Electrical, Communications & Cyber Systems
- Georgia Tech
- Office of Naval Research