Simulation for urban computing scenarios: An overview and research challenges

IF 3.7 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Cloud Computing-Advances Systems and Applications Pub Date : 2023-07-01 DOI:10.1109/CSCloud-EdgeCom58631.2023.00012
Lin Wu, Guogui Yang, Jintao Yan, Shuguang Ran, Bao-kang Zhao, Huan Zhou
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Abstract

Urban computing is an emerging computing paradigm for processing urban data to serve urban applications, which is an important manner to realize smart cities. To be specific, cloud computing and edge computing are usually leveraged to support urban computing. As a distributed and extended solution for cloud computing, edge computing is capable of providing better data services for IoT devices. However, edge computing resources are widely distributed and edge devices are highly mobile. To guarantee the QoS (Quality of Service), it is challenging to decide where to distribute the computing resources according to edge devices, especially around a specific urban area. Therefore, it is essential to simulate and verify the solution through evaluation tools before practical deployment in urban scenarios. But urban computing is a relatively new paradigm, there are few evaluation tools for direct usage. To provide hints for useful tools, we perform a survey study on existing evaluation tools for edge computing, which can be somehow applied to urban computing. In this paper, we first classify and define the evaluation tools into three categories: simulators, emulators, and testbeds. Then we perform a comprehensive study on the above three categories. Finally, we conclude the research challenges for urban computing based on current evaluation tools.
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城市计算场景的模拟:概述和研究挑战
城市计算是处理城市数据服务于城市应用的新兴计算范式,是实现智慧城市的重要方式。具体来说,通常利用云计算和边缘计算来支持城市计算。边缘计算作为云计算的分布式扩展解决方案,能够为物联网设备提供更好的数据服务。然而,边缘计算资源分布广泛,边缘设备具有高度移动性。为了保证服务质量(QoS),如何根据边缘设备确定计算资源的分布位置是一个挑战,特别是在特定的城市区域周围。因此,在实际部署到城市场景之前,有必要通过评估工具对解决方案进行模拟和验证。但是城市计算是一个相对较新的范式,很少有直接使用的评估工具。为了提供有用工具的提示,我们对现有的边缘计算评估工具进行了调查研究,这些工具可以以某种方式应用于城市计算。在本文中,我们首先将评估工具分为三类:模拟器、仿真器和试验台。然后对以上三类进行综合研究。最后,总结了基于现有评价工具的城市计算研究面临的挑战。
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来源期刊
Journal of Cloud Computing-Advances Systems and Applications
Journal of Cloud Computing-Advances Systems and Applications Computer Science-Computer Networks and Communications
CiteScore
6.80
自引率
7.50%
发文量
76
审稿时长
75 days
期刊介绍: The Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA) will publish research articles on all aspects of Cloud Computing. Principally, articles will address topics that are core to Cloud Computing, focusing on the Cloud applications, the Cloud systems, and the advances that will lead to the Clouds of the future. Comprehensive review and survey articles that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant.
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