Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network

The Internet of Robotic Things (IoRT) has emerged as a promising computing paradigm integrating the cloud/fog/edge computing continuum in the Internet of Things (IoT) to optimize the operations of intelligent robotic agents in factories. A single robot agent at the edge of the network can comprise h...

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Autores principales:	Leonel Feitosa, Glauber Gonçalves, Tuan Anh Nguyen, Jae Woo Lee, Francisco Airton Silva
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cloud/fog/edge computing Internet of Robotic Things queuing network design of experiments performance evaluation Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/2e7cb049e605480cb014a92aa32784c7
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id	oai:doaj.org-article:2e7cb049e605480cb014a92aa32784c7
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spelling	oai:doaj.org-article:2e7cb049e605480cb014a92aa32784c72021-11-11T15:38:32ZPerformance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network10.3390/electronics102126262079-9292https://doaj.org/article/2e7cb049e605480cb014a92aa32784c72021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2626https://doaj.org/toc/2079-9292The Internet of Robotic Things (IoRT) has emerged as a promising computing paradigm integrating the cloud/fog/edge computing continuum in the Internet of Things (IoT) to optimize the operations of intelligent robotic agents in factories. A single robot agent at the edge of the network can comprise hundreds of sensors and actuators; thus, the tasks performed by multiple agents can be computationally expensive, which are often possible by offloading the computing tasks to the distant computing resources in the cloud or fog computing layers. In this context, it is of paramount importance to assimilate the performance impact of different system components and parameters in an IoRT infrastructure to provide IoRT system designers with tools to assess the performance of their manufacturing projects at different stages of development. Therefore, we propose in this article a performance evaluation methodology based on the D/M/c/K/FCFS queuing network pattern and present a queuing-network-based performance model for the performance assessment of compatible IoRT systems associated with the edge, fog, and cloud computing paradigms. To find the factors that expose the highest impact on the system performance in practical scenarios, a sensitivity analysis using the Design of Experiments (DoE) was performed on the proposed performance model. On the outputs obtained by the DoE, comprehensive performance analyses were conducted to assimilate the impact of different routing strategies and the variation in the capacity of the system components. The analysis results indicated that the proposed model enables the evaluation of how different configurations of the components of the IoRT architecture impact the system performance through different performance metrics of interest including the (i) mean response time, (ii) utilization of components, (iii) number of messages, and (iv) drop rate. This study can help improve the operation and management of IoRT infrastructures associated with the cloud/fog/edge computing continuum in practice.Leonel FeitosaGlauber GonçalvesTuan Anh NguyenJae Woo LeeFrancisco Airton SilvaMDPI AGarticlecloud/fog/edge computingInternet of Robotic Thingsqueuing networkdesign of experimentsperformance evaluationElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2626, p 2626 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cloud/fog/edge computing Internet of Robotic Things queuing network design of experiments performance evaluation Electronics TK7800-8360
spellingShingle	cloud/fog/edge computing Internet of Robotic Things queuing network design of experiments performance evaluation Electronics TK7800-8360 Leonel Feitosa Glauber Gonçalves Tuan Anh Nguyen Jae Woo Lee Francisco Airton Silva Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network
description	The Internet of Robotic Things (IoRT) has emerged as a promising computing paradigm integrating the cloud/fog/edge computing continuum in the Internet of Things (IoT) to optimize the operations of intelligent robotic agents in factories. A single robot agent at the edge of the network can comprise hundreds of sensors and actuators; thus, the tasks performed by multiple agents can be computationally expensive, which are often possible by offloading the computing tasks to the distant computing resources in the cloud or fog computing layers. In this context, it is of paramount importance to assimilate the performance impact of different system components and parameters in an IoRT infrastructure to provide IoRT system designers with tools to assess the performance of their manufacturing projects at different stages of development. Therefore, we propose in this article a performance evaluation methodology based on the D/M/c/K/FCFS queuing network pattern and present a queuing-network-based performance model for the performance assessment of compatible IoRT systems associated with the edge, fog, and cloud computing paradigms. To find the factors that expose the highest impact on the system performance in practical scenarios, a sensitivity analysis using the Design of Experiments (DoE) was performed on the proposed performance model. On the outputs obtained by the DoE, comprehensive performance analyses were conducted to assimilate the impact of different routing strategies and the variation in the capacity of the system components. The analysis results indicated that the proposed model enables the evaluation of how different configurations of the components of the IoRT architecture impact the system performance through different performance metrics of interest including the (i) mean response time, (ii) utilization of components, (iii) number of messages, and (iv) drop rate. This study can help improve the operation and management of IoRT infrastructures associated with the cloud/fog/edge computing continuum in practice.
format	article
author	Leonel Feitosa Glauber Gonçalves Tuan Anh Nguyen Jae Woo Lee Francisco Airton Silva
author_facet	Leonel Feitosa Glauber Gonçalves Tuan Anh Nguyen Jae Woo Lee Francisco Airton Silva
author_sort	Leonel Feitosa
title	Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network
title_short	Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network
title_full	Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network
title_fullStr	Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network
title_full_unstemmed	Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network
title_sort	performance evaluation of message routing strategies in the internet of robotic things using the d/m/c/k/fcfs queuing network
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2e7cb049e605480cb014a92aa32784c7
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Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network

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