Off-campus UMass Amherst users: To download campus access dissertations, please use the following link to log into our proxy server with your UMass Amherst user name and password.
Non-UMass Amherst users: Please talk to your librarian about requesting this dissertation through interlibrary loan.
Dissertations that have an embargo placed on them will not be available to anyone until the embargo expires.
Author ORCID Identifier
N/A
AccessType
Open Access Dissertation
Document Type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Electrical and Computer Engineering
Year Degree Awarded
2017
Month Degree Awarded
September
First Advisor
Israel Koren
Second Advisor
C Mani Krishna
Subject Categories
Artificial Intelligence and Robotics | Computer and Systems Architecture | Computer Engineering | Controls and Control Theory | Robotics | Systems Architecture | Theory and Algorithms
Abstract
Cyber-physical systems frequently have to use massive redundancy to meet application requirements for high reliability. While such redundancy is required, it can be activated adaptively, based on the current state of the controlled plant. Most of the time the physical plant is in a state that allows for a lower level of fault-tolerance. Avoiding the continuous deployment of massive fault-tolerance will greatly reduce the workload of CPSs. In this dissertation, we demonstrate a software simulation framework (AdaFT) that can automatically generate the sub-spaces within which our adaptive fault-tolerance can be applied. We also show the theoretical benefits of AdaFT, and its actual implementation in several real-world CPSs.
DOI
https://doi.org/10.7275/10667150.0
Recommended Citation
Xu, Ye, "ADAFT: A RESOURCE-EFFICIENT FRAMEWORK FOR ADAPTIVE FAULT-TOLERANCE IN CYBER-PHYSICAL SYSTEMS" (2017). Doctoral Dissertations. 1087.
https://doi.org/10.7275/10667150.0
https://scholarworks.umass.edu/dissertations_2/1087
Included in
Artificial Intelligence and Robotics Commons, Computer and Systems Architecture Commons, Controls and Control Theory Commons, Robotics Commons, Systems Architecture Commons, Theory and Algorithms Commons