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Redundancy optimization for error recovery in digital microfluidic biochips

机译:用于数字微流控生物芯片中错误恢复的冗余优化

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摘要

Microfluidic-based biochips are replacing the conventional biochemical analyzers, and are able to integrate all the necessary functions for biochemical analysis. The digital microfluidic biochips are based on the manipulation of liquids not as a continuous flow, but as discrete droplets. Researchers have proposed approaches for the synthesis of digital microfluidic biochips, which, starting from a biochemical application and a given biochip architecture, determine the allocation, resource binding, scheduling, placement and routing of the operations in the application. During the execution of a bioassay, operations could experience transient errors (e.g., erroneous droplet volumes), thus impacting negatively the correctness of the application. Researchers have proposed fault-tolerance approaches, which apply predetermined recovery actions at the moment when errors are detected. In this paper, we propose an online recovery strategy, which decides during the execution of the biochemical application the introduction of the redundancy required for fault-tolerance. We consider both time redundancy, i.e., re-executing erroneous operations, and space redundancy, i.e., creating redundant droplets for fault-tolerance. Error recovery is performed such that the number of transient errors tolerated is maximized and the timing constraints of the biochemical application are satisfied. The proposed redundancy optimization approach has been evaluated using several benchmarks.
机译:基于微流体的生物芯片正在取代传统的生化分析仪,并且能够集成生化分析的所有必要功能。数字微流控生物芯片是基于对液体的操纵,而不是以连续流的形式,而是以离散液滴的形式。研究人员提出了用于合成数字微流控生物芯片的方法,该方法从生化应用程序和给定的生物芯片架构开始,确定应用程序中操作的分配,资源绑定,调度,放置和路由。在执行生物测定期间,操作可能会遇到暂时性错误(例如,错误的液滴体积),从而对应用程序的正确性产生负面影响。研究人员提出了容错方法,该方法在检测到错误时立即应用预定的恢复操作。在本文中,我们提出了一种在线恢复策略,该策略决定了在生化应用程序执行过程中引入容错所需的冗余。我们同时考虑时间冗余(即重新执行错误的操作)和空间冗余(即创建用于容错的冗余小滴)。执行错误恢复,以使所允许的瞬时错误数量最大化,并满足生化应用的时间限制。所提出的冗余优化方法已使用多个基准进行了评估。

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