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It consists of two important classes, the Simulation Manager class which manages the simulation, schedules the tasks generation, etc. Simulation Manager, that initiates the simulation environment, schedules all the events and generates the output. It consists of two classes, the File Parser that checks the input files and loads the simulation parameters, and the Simulation Parameters class which represents a placeholder for the different parameters. Scenario Manager, that loads the simulation parameters and the user scenario from the input files (. Besides, it provides an even more realistic network model (as compared to state of the art simulators) that continuously changes the allocated bandwidth for each task being transferred depending on the network traffic. It provides a task orchestrator module that orchestrates the tasks and enables the multi-tiers simulations scenarios where many computing paradigms can be used in conjunction with one another. whether this device is mobile or not, whether battery-powered or not, different applications requirements: tasks file size, tasks CPU utilization,and latency requirement, etc.)ДЄ simple representation of the simulation scenarios Besides, it supports the Edge devices heterogeneity (i.e. It grantees high scalability by enabling the simulation of thousands of devices. PureEdgeSim enables the simulation of resource management strategies and allows to evaluate the performance of Cloud, Edge, and Mist computing environments. and enables the simulation of several scenarios such as the Internet of Things (IoT), connected vehicles, Mist computing environments (peer-to peer networks such as mobile devices Cloud), and mobile Edge computing. It allows to evaluate the performance of resources management strategies in terms of network usage, latency, resources utilization, energy consumption, etc.

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We introduce PureEdgeSim, a new simulator based on CloudSim Plus that is designed to simulate Cloud, Edge, and Mist computing environments. However, when it comes to simulation tools, Mist computing still did not get the attention they deserve (with only few simulators for Edge computing such as iFogSim, EdgeCloudSim). Instead of testing them on a real distributed system, the simulation makes it possible to evaluate the proposed strategies and algorithms in a repeatable, controllable and cost-effective way before their actual deployment. Nevertheless, in these distributed environments where many devices need to offload their tasks to one another (either to increase their lifetime or to minimize the task completion delay) many issues such as resources management strategies has to be solved. Thus, reducing both the latency and the Cloud workload and leading to a more scalable network. SatEdgeSim: A Toolkit for Modeling and Simulation of Performance Evaluation in Satellite Edge Computing Environments, read more about it here.Д®dge and Mist (Extreme Edge) computing, two emerging computing paradigms that aim to overcome the Cloud computing limitations by bringing its applications at the Edge of the network.Other publication using PureEdgeSim can be found hereДЇor any questions, contact me at Works that are based on PureEdgeSim and extensions In International Conference on Advanced Information Networking and Applications (pp. A Fuzzy Decision Tree Based Tasks Orchestration Algorithm for Edge Computing Environments. The Fuzzy Decision Tree Based algorithm presented in The 2019 International Conference on High Performance Computing & Simulation (2019) 700-707 Mechalikh, C., Taktak, H., Moussa, F.: PureEdgeSim: A Simulation Toolkit for Performance Evaluation of Cloud, Fog, and Pure Edge Computing Environments. Computer Science and Information Systems, Vol. Mechalikh, C., Taktak, H., Moussa, F.: PureEdgeSim: A Simulation Framework for Performance Evaluation of Cloud, Edge and Mist Computing Environments.

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