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Statistic analysis and automated diagnosis of a short-message-based authentication system

机译:基于短消息的身份验证系统的统计分析和自动诊断

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With the general popularity and ubiquitous availability of Short Message Service (SMS), numerous service providers use SMS as underlying data distributing carrier, such as the short-message based authentication system and emergency notification. For this kind of application services, the reliability and delay of SMS are critical factors to the user satisfaction of the service. This paper presents statistic analysis results of the trace data in a SMAP (Short Message-based Authentication Platform) system. The analysis results show that the delay is caused by the short-message distributing latency (from SM-SC to user's mobile phone) in most cases. And a decision tree-based solution is introduced to diagnose the failure in SMAP system automatically. Preliminary results illustrate the effectiveness of the decision tree-based approach.
机译:随着短消息服务(SMS)的普遍普及和无处不在的可用性,许多服务提供商都将SMS用作基础数据分发载体,例如基于短消息的身份验证系统和紧急通知。对于这种应用服务,SMS的可靠性和延迟是影响用户对服务满意度的关键因素。本文介绍了基于SMAP(基于短消息的身份验证平台)系统中的跟踪数据的统计分析结果。分析结果表明,在大多数情况下,延迟是由短消息分发延迟(从SM-SC到用户的手机)引起的。并提出了一种基于决策树的解决方案来自动诊断SMAP系统中的故障。初步结果说明了基于决策树的方法的有效性。

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