Demystifying Usability of Open Source Computational Offloading Simulators: Performance Evaluation Campaign

Along with analysis and practical implementation, simulations play a key role in wireless networks computational offloading research for several reasons. First, the provide ability to easily obtain data complex system’s model evaluation. Secondly, simulated provides controlled environment experimentation, allowing models algorithms be tested robustness identifying potential limitations before deploying them real-world applications. Choosing most appropriate tool simulation might challenging depends on factors, such as main purpose, complexity of data, researcher skills, community support, available budget. As time present analysis, system-level open-source tools modeling also cover systems’ communications side, CloudSim , xmlns:xlink="http://www.w3.org/1999/xlink">CloudSim Plus xmlns:xlink="http://www.w3.org/1999/xlink">IoTSim-Edge xmlns:xlink="http://www.w3.org/1999/xlink">EdgeCloudSim xmlns:xlink="http://www.w3.org/1999/xlink">iFogSim2 xmlns:xlink="http://www.w3.org/1999/xlink">PureEdgeSim xmlns:xlink="http://www.w3.org/1999/xlink">YAFS . This work presents an evaluation those based unique features performance results intensive workload- delay-tolerant scenarios: XR extremely high rate workload; remote monitoring low moderate delays workload requirements; streaming general human traffic relatively bit but workload. The concludes that CloudSim reliable virtualization host resources, while YAFS shows minimal hardware usage, have fewer implemented features.