Proactive recovery approach for intrusion tolerance with dynamic configuration of physical and virtual replicas

2012 ◽  
Vol 5 (10) ◽  
pp. 1169-1180 ◽  
Author(s):  
Feng Zhao ◽  
Min Li ◽  
Weizhong Qiang ◽  
Hai Jin ◽  
Deqing Zou ◽  
...  
Keyword(s):  
Intrusion Tolerance ◽  
Dynamic Configuration ◽  
Recovery Approach ◽  
Proactive Recovery

Virtualization-based Recovery Approach for Intrusion Tolerance

2013 ◽  
Vol 12 (3) ◽  
pp. 385-390 ◽  
Author(s):  
Jian-Hua Huang ◽  
Jun Huang ◽  
Rong Li ◽  
Xiao-Ming Li
Keyword(s):  
Intrusion Tolerance ◽  
Recovery Approach

scholarly journals Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3768
Author(s):  
Yongshou Yang ◽  
Shiliang Fang
Keyword(s):  
Distance Estimation ◽  
Acoustic Doppler Current Profiler ◽  
Optimization Method ◽  
Measurement Range ◽  
Velocity Estimation ◽  
Estimation Accuracy ◽  
Dynamic Configuration ◽  
Optimal Velocity ◽  
Flood Warning ◽  
The Impact

Broadband acoustic Doppler current profiler (ADCP) is widely used in agricultural water resource explorations, such as river discharge monitoring and flood warning. Improving the velocity estimation accuracy of broadband ADCP by adjusting the waveform parameters of a phase-encoded signal will reduce the velocity measurement range and water stratification accuracy, while the promotion of stratification accuracy will degrade the velocity estimation accuracy. In order to minimize the impact of these two problems on the measurement results, the ADCP waveform optimization problem that satisfies the environment constraints while keeping high velocity estimation accuracy or stratification accuracy is studied. Firstly, the relationship between velocity or distance estimation accuracy and signal waveform parameters is studied by using an ambiguity function. Secondly, the constraints of current velocity range, velocity distribution and other environmental characteristics on the waveform parameters are studied. For two common measurement applications, two dynamic configuration methods of waveform parameters with environmental adaptability and optimal velocity estimation accuracy or stratification accuracy are proposed based on the nonlinear programming principle. Experimental results show that compared with the existing methods, the velocity estimation accuracy of the proposed method is improved by more than 50%, and the stratification accuracy is improved by more than 22%.

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