CAJ | 학술논문

在普适计算环境中，上下文信息由于受到噪声等不可控因素的干扰，面临着一致性错误的问题。这些错误会影响应用的正常运行，使其表现异常甚至失效。目前已经有自动的一致性错误处理方法来保障应用所获取的上下文满足数据层面的一致性约束，然而在数据层面保持一致是否能提升应用的运行质量并不明确。系统地研究了这个问题，并基于一组真实的上下文感知机器人小车应用，设计了一系列受控实验，来分析和比较在模拟和真实世界中上下文一致性错误的处理方式对应用运行质量的改善程度及潜在的负面影响。利用该实验的分析结果，将有助于提高普适计算中上下文感知应用的运行质量。
재보괄계산배경중，상하문신식유우수도조성등불가공인소적간우，면림착일치성착오적문제。저사착오회영향응용적정상운행，사기표현이상심지실효。목전이경유자동적일치성착오처리방법래보장응용소획취적상하문만족수거층면적일치성약속，연이재수거층면보지일치시부능제승응용적운행질량병불명학。계통지연구료저개문제，병기우일조진실적상하문감지궤기인소차응용，설계료일계렬수공실험，래분석화비교재모의화진실세계중상하문일치성착오적처리방식대응용운행질량적개선정도급잠재적부면영향。이용해실험적분석결과，장유조우제고보괄계산중상하문감지응용적운행질량。
Context-aware applications are subject to inevitable context inconsistencies due to various reasons including unpredictable and uncontrollable sensing noises in pervasive computing environment. These inconsistencies can lead to applications abnormal or even failure. Various approaches have been proposed to automatically resolve the detected context inconsistencies for such applications. However, it is not clear whether maintaining consistency for contexts at a data level can indeed improve an application’s quality at a software level. This paper designs a controlled exper-imentation to empirically study this problem, based on a group of selected context-aware robot car applications. Then, this paper compares and reports the benefits and side effects of different context inconsistency resolution approaches. The experimental results can help developers understand how context inconsistency and its resolution impact context-aware applications, as well as improving the dependability for these applications.