Paper Info
Title
Control-Quality Optimization for Distributed Embedded Systems with Adaptive Fault Tolerance
Abstract
In this paper, we propose a design framework for distributed embedded control systems that ensures reliable execution and high quality of control even if some computation nodes fail. When a node fails, the configuration of the underlying distributed system changes and the system must adapt to this new situation by activating tasks at operational nodes. The task mapping as well as schedules and control laws that are customized for the new configuration influence the control quality and must, therefore, be optimized. The number of possible configurations due to faults is exponential in the number of nodes in the system. This design-space complexity leads to unaffordable design time and large memory requirements to store information related to mappings, schedules, and controllers. We demonstrate that it is sufficient to synthesize solutions for a small number of base and minimal configurations to achieve fault tolerance with an inherent minimum level of control quality. We also propose an algorithm to further improve control quality with a priority-based search of the set of configurations and trade-offs between task migration and replication.
Year
DOI
Venue
2012
10.1109/ECRTS.2012.40
ECRTS
Keywords
Field
DocType
control-quality optimization,embedded control system,control law,new configuration influence,design framework,system change,minimal configuration,adaptive fault tolerance,activating task,high quality,small number,control quality,task analysis,niobium,computational complexity,design optimization,neodymium,fault tolerance,cyber physical system,mathematical model,distributed processing,actuators,computer and information science,schedules,embedded systems
Small number,Task analysis,Computer science,Real-time computing,Cyber-physical system,Schedule,Fault tolerance,Control system,Computational complexity theory,Distributed computing,Computation
Conference
ISSN
Citations 
PageRank 
1068-3070
0
0.34
References 
Authors
9
5
Name
Order
Citations
PageRank
Soheil Samii116516.67
Unmesh D. Bordoloi213314.49
PETRU ELES32366174.65
ZEBO PENG42422183.67
Anton Cervin590166.56