The osmotic computing paradigm sets out the principles and algorithms for simplifying the deployment of Internet of Things (IoT) applications in integrated edge-cloud environments. Various existing simulation frameworks can be used to support integration of cloud and edge computing environments. However, none of these can directly support an osmotic computing environment due to the complexity of IoT applications and heterogeneity of integrated edge-cloud environments. Osmotic computing suggests the migration of workload to/from a cloud data centre to edge devices, based on performance and security trigger events. We propose ‘IoTSim-Osmosis– a simulation framework to support the testing and validation of osmotic computing applications. In particular, our detailed related work analysis demonstrates that IoTSim-Osmosis is the first simulation framework to enable unified modelling and simulation of complex IoT applications over heterogeneous edge-cloud environments. IoTSim-Osmosis is demonstrated using an electricity management and billing application case study, for benchmarking various run-time QoS parameters, such as IoT battery use, execution time, network transmission time and consumed energy.

渗透计算范例阐述了简化集成边缘云环境中的物联网（IoT）应用程序部署的原理和算法。可以使用各种现有的仿真框架来支持云和边缘计算环境的集成。但是，由于物联网应用程序的复杂性和集成边缘云环境的异构性，这些都不能直接支持渗透计算环境。渗透计算建议根据性能和安全性触发条件，将工作负载往返云数据中心迁移到边缘设备事件。我们提出了“ IoTSim-Osmosis-一种模拟框架，以支持渗透计算应用程序的测试和验证。特别是，我们详细的相关工作分析表明，IoTSim-Osmosis是第一个能够在异构边缘云环境上对复杂的IoT应用程序进行统一建模和仿真的仿真框架。使用电力管理和计费应用案例研究演示了IoTSim-Osmosis，以对各种运行时QoS参数进行基准测试，例如IoT电池使用，执行时间，网络传输时间和能耗。