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Performance analysis of MMS using GSPN

机译:使用GSPN的MMS性能分析

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摘要

A performance analysis of Manufacturing Message Specification (MMS) software has been conducted by using the generalized stochastic Petri net (GSPN). The criteria used in the evaluation are average service waiting, processing, and transporting times, and system utilization. The feasibility of using MMS for a robotic platform system is discussed based on the performance evaluation. It is shown that the service arriving rate has a significant effect on several important performance indices, such as the number of waiting services and system utilization. This indicates that MMS performance is quite sensitive to the application environments. Therefore, for real-time control systems with high communication intensity, the time delay through MMS might be unacceptable and some service requests may have to be balked. To solve the problem, one has either to reduce the intensity of message transferring in the system or to simplify MMS communication protocol, or do both.
机译:通过使用广义随机Petri网(GSPN)进行了制造消息规范(MMS)软件的性能分析。 评估中使用的标准是平均服务等待,处理和运输时间和系统利用率。 基于性能评估,讨论了使用MMS进行机器人平台系统的可行性。 结果表明,服务到达率对几个重要的性能指标具有显着影响,例如等待服务和系统利用率。 这表明MMS性能对应用程序环境非常敏感。 因此,对于具有高通信强度的实时控制系统,通过MMS的时间延迟可能是不可接受的,并且某些服务请求可能必须被拒绝。 为了解决问题,一个人要么要降低系统中的消息传输的强度,要么简化MMS通信协议,或者都做两者。

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