Context-Active Resilience in Cyber Physical systems (CAR)

01/12/2016 - 30/11/2018

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Context-active resilience is a novel concept of CPS resilience proposed in this action, which emphasises active and even proactive response to the dynamic state of CPS and its users in real-time. CAR Patterns will be identified via the empirical analysis of practical CPS systems, and specified with the developed Meta-Intelligence and populated into a semantic repository. 

Due to the wide and critical roles of CPS in industry and society, the proposal is both timely and significant. Acting as a bridge, the project will simultaneously advance the theoretic approach and art of practice of this emerging topic, improve the competency and career of the fellow, enhance and complement the host’s research profile and infrastructure, and benefit the society, living, economy and related research communities significantly. 

This European Fellowship project will benefit the researcher by giving and enhancing the knowledge and skills for a future generation of CPSs which enjoy the unique feature of context-active resilience. With such new capability and training, the researcher is expected to realise his potential and gain his leading role at international level in CPS research community. 
Context-Active Resilience in Cyber Physical systems (CAR) is a EU Framework Programmes project funded by EU H2020. Carried out in collaboration with and others. For further information please refer to .
 
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Project Team

Xiaodong Liu
Reader
x.liu@napier.ac.uk
+44 131 455 2747

Associated Publications

Liu, Q., Cai, W., Shen, J., Fu, Z., Liu, X., Linge, N. (2016). A Speculative Approach to Spatial-Temporal Efficiency With Multi-Objective Optimisation in a Heterogeneous Cloud Environment. Security and Communication Networks, 9, (17), .

Liu, Q., Cai, W., Shen, J., Liu, X., Linge, N. (2016). An adaptive approach to better load balancing in a consumer-centric cloud environment. IEEE Transactions on Consumer Electronics, 62, (3), .

Liu, Q., Cai, W., Jin, D., Shen, J., Fu, Z., Liu, X., Linge, N. (2016). Estimation Accuracy on Execution Time of Run-time Tasks in a Heterogeneous Distributed Environment. Sensors, a Journal by MDPI publisher (Switzerland), 16, (9), .