RaPiD: a toolkit for reliability analysis of non-deterministic systems

Lin Gui, Jun Sun, Yang Liu, Truong Khanh Nguyen, J. Dong
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Abstract

Non-determinism in concurrent or distributed software systems (i.e., various possible execution orders among different distributed components) presents new challenges to the existing reliability analysis methods based on Markov chains. In this work, we present a toolkit RaPiD for the reliability analysis of non-deterministic systems. Taking Markov decision process as reliability model, RaPiD can help in the analysis of three fundamental and rewarding aspects regarding software reliability. First, to have reliability assurance on a system, RaPiD can synthesize the overall system reliability given the reliability values of system components. Second, given a requirement on the overall system reliability, RaPiD can distribute the reliability requirement to each component. Lastly, RaPiD can identify the component that affects the system reliability most significantly. RaPiD has been applied to analyze several real-world systems including a financial stock trading system, a proton therapy control system and an ambient assisted living room system.
RaPiD:一个用于非确定性系统可靠性分析的工具包
并发或分布式软件系统中的不确定性(即不同分布式组件之间可能存在的各种执行顺序)对现有的基于马尔可夫链的可靠性分析方法提出了新的挑战。在这项工作中,我们提出了一个工具箱RaPiD用于不确定性系统的可靠性分析。以马尔可夫决策过程作为可靠性模型,RaPiD可以帮助分析软件可靠性的三个基本和有益的方面。首先,为了对系统进行可靠性保证,RaPiD可以根据系统组件的可靠性值综合系统的整体可靠性。其次,给定对整个系统可靠性的需求,RaPiD可以将可靠性需求分配给每个组件。最后,RaPiD可以识别对系统可靠性影响最大的组件。RaPiD已应用于分析几个现实世界的系统,包括金融股票交易系统,质子治疗控制系统和环境辅助客厅系统。
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