Today, more and more embedded devices are being connected through a network, generally Internet, offering users different services. This concept refers to Internet of Things (IoT), bringing information and control capabilities in many fields like medicine, smart homes, home security, etc. Main drawbacks of IoT environment are its dependency on Internet connectivity and need continuous devices power. These dependencies may affect system performances, namely request processing response times. In this context, we propose in this paper a continuous performance monitoring methodology, applied on IoT systems based on Publish/subscribe communication model. Our approach assesses performances using Stochastic Petri net modeling, and self-optimizes whenever poor performances are detected. Our approach relies on a Stochastic Petri nets modelling and analysis to assess performances. We target improving performances, in particular response times, by online modification of influencing factors.

翻译：如今，越来越多的嵌入式设备通过网络（通常是互联网）相互连接，为用户提供不同服务。这一概念被称为物联网，在医疗、智能家居、家庭安防等多个领域实现了信息与控制能力。物联网环境的主要缺陷在于其对互联网连接的依赖性和持续供电需求，这些依赖可能影响系统性能，特别是请求处理响应时间。针对这一背景，本文提出一种基于发布/订阅通信模型的物联网系统持续性能监测方法。该方法利用随机Petri网建模评估系统性能，并在检测到性能下降时进行自优化。我们通过随机Petri网建模与分析来评估性能，旨在线性修改影响因素以改善性能，特别是降低响应时间。