Name
Abstract | ||
|---|---|---|
A quantitative assessment of the QoS (quality of service) capability of an embedded software system S enables a sustained QoS behavior and/or reduced cost of system operations, in the face of uncontrolled external environment conditions incident on S[1]. In this paper, we study the autonomic management of adaptive cruise control (ACC) processes in automobiles based on a model-based system assessment logic. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ICAC.2017.50 | 2017 IEEE International Conference on Autonomic Computing (ICAC) |
Keywords | Field | DocType |
Model-based system assessment,Adaptive cruise control,Uncertainty in knowledge,Hostile environment | Torque,Embedded software,Reduced cost,Computer science,Simulation,Cruise control,Quality of service,Quantitative assessment,Reliability engineering,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-1763-2 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arun Adiththan | 1 | 13 | 8.26 |
| Kaliappa Ravindran | 2 | 165 | 25.31 |
| Ramesh, S. | 3 | 144 | 19.02 |