Performance modeling of the middleware overlay infrastructure of mobile things

Georgios Bouloukakis, I. Moscholios, N. Georgantas, V. Issarny
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引用次数: 18

Abstract

Internet of Things (IoT) applications consist of diverse Things (sensors and devices) in terms of hardware resources. Furthermore, such applications are characterized by the Things' mobility and multiple interaction types, such as synchronous, asynchronous, and streaming. Middleware IoT protocols consider the above limitations and support the development of effective applications by providing several Quality of Service (QoS) features. These features aim to enable application developers to tune an application by switching different levels of response times and delivery success rates. However, the profusion of the developed IoT protocols and the intermittent connectivity of mobile Things, result to a non-trivial application tuning. In this paper, we model the performance of the middleware overlay infrastructure using Queueing Network Models (QNMs). To represent the mobile Thing's connections/disconnections, we model and solve analytically an ON/OFF queueing center. We apply our approach to Streaming interactions with mobile peers. Finally, we validate our model using simulations. The deviations between the performance results foreseen by the analytical model and the ones provided by the simulator are shown to be less than 5%.
中间件的性能建模覆盖了移动设备的基础设施
物联网(IoT)应用在硬件资源方面由各种各样的事物(传感器和设备)组成。此外,这些应用程序的特点是物的移动性和多种交互类型,如同步、异步和流。中间件物联网协议考虑了上述限制,并通过提供几个服务质量(QoS)特性来支持有效应用程序的开发。这些特性旨在使应用程序开发人员能够通过切换不同级别的响应时间和交付成功率来调优应用程序。然而,开发的物联网协议的丰富和移动物联网的间歇性连接,导致了一个重要的应用程序调优。在本文中,我们使用排队网络模型(QNMs)对中间件覆盖基础结构的性能进行建模。为了表示移动设备的连接/断开,我们对一个ON/OFF排队中心进行建模和解析求解。我们将我们的方法应用于与移动对等体的流媒体交互。最后,我们用仿真验证了我们的模型。分析模型预测的性能结果与模拟器提供的性能结果之间的偏差小于5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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