Modelling and Simulation of Fog and Edge Computing Environments using iFogSim Toolkit
Modelling and Simulation of Fog and Edge Computing Environments using iFogSim Toolkit
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发表时间：
2018-12
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通讯作者：
Md. Redowan Mahmud;R. Buyya
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作者：
Md. Redowan Mahmud;R. Buyya
Fog计算中的资源管理非常复杂，因为它涉及大量不同的和资源受限的Fog节点，以分布式方式满足支持IoT的系统的计算需求。它与云的集成引发了组合资源管理的进一步困难。物联网设备的不同感知频率、分布式应用结构及其协调也影响着雾计算环境中的资源管理。为了促进雾及其资源管理的发展，进行广泛的研究是毫无疑问的.为了发展和评估不同的想法和资源管理政策，对雾环境的实证分析是关键。由于雾计算环境包含物联网设备，雾节点和云计算沿着大量的物联网数据和分布式应用程序，因此用于研究的雾环境的实际实施将非常昂贵。此外，在真实世界的雾环境中修改任何实体将是繁琐的。在这种情况下，模拟雾计算环境可以是非常有帮助的。仿真工具包不仅提供了框架来设计定制的实验环境，而且还有助于可重复的评估。在本章中，我们将重点介绍用于建模和模拟雾计算环境的iFogSim工具包教程。我们相信本章将为研究人员提供一种在研究工作中应用iFogSim的简化方法。
Resource management in Fog computing is very complicated as it engages significant number of diverse and resource constraint Fog nodes to meet computational demand of IoT-enabled systems in distributed manner. Its integration with Cloud triggers further difficulties in combined resource management. Different sensing frequency of IoT devices, distributed application structure and their coordination also influence resource management in Fog computing environment. For advancement of Fog and its resource management, the necessity of extensive research in beyond question. To develop and evaluate different ideas and resource management policies, empirical analysis on Fog environment is the key. Since Fog computing environment incorporates IoT devices, Fog nodes and Cloud datacenters along with huge amount of IoT-data and distributed applications, real-world implementation of Fog environment for research will be very costly. Moreover, modification of any entity in real-world Fog environment will be tedious. In this circumstance, simulation of Fog computing environment can be very helpful. Simulation toolkits not only provide frameworks to design customized experiment environment but also assist in repeatable evaluation. In this chapter we focus on delivering a tutorial on iFogSim toolkit for modelling and simulating Fog computing environments. We believe this chapter will offer researchers a simplified way to apply iFogSim in their research works.