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Fault Tolerance-Aware Design Technique for Cyber-Physical Digital Microfluidic Biochips

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Big Data Analytics for Cyber-Physical Systems
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Abstract

Digital micro-fluidic biochips (DMFBs) have been widely applied in Biomedicine and Biotechnology due to its high efficiency and accuracy, as well as its low cost. With the increasing size of DMFBs, cyber-physical system (CPS) techniques have been widely utilized for the design, especially for the fault tolerance. For cyber-physical DMFBs, the checkpoint technique, which can be used to detect on-chip reaction errors, is essential. Due to the limitation of on-chip resources, it is important to optimize the placement of on-chip checkpoints. In this chapter, an integer linear programming (ILP) technique based checkpoint placement method is proposed. The proposed method targets at minimizing the total number of checkpoints on cyber-physical DMFBs. The experiment results demonstrate the effectiveness and efficiency of the proposed method.

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Acknowledgement

This work was supported in part by the National Natural Science Foundation of China (No. 61501411).

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Chen, X., Wang, Y., Wan, C., Huang, X. (2020). Fault Tolerance-Aware Design Technique for Cyber-Physical Digital Microfluidic Biochips. In: Hu, S., Yu, B. (eds) Big Data Analytics for Cyber-Physical Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-43494-6_9

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  • DOI: https://doi.org/10.1007/978-3-030-43494-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43493-9

  • Online ISBN: 978-3-030-43494-6

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