Internet of Things (IoT) has already proven to be the building block for next-generation Cyber-Physical Systems (CPSs). The considerable amount of data generated by the IoT devices needs latency-sensitive processing, which is not feasible by deploying the respective applications in remote Cloud datacentres. Edge/Fog computing, a promising extension of Cloud at the IoT-proximate network, can meet such requirements for smart CPSs. However, the structural and operational differences of Edge/Fog infrastructure resist employing Cloud-based service regulations directly to these environments. As a result, many research works have been recently conducted, focusing on efficient application and resource management in Edge/Fog computing environments. Scalable Edge/Fog infrastructure is a must to validate these policies, which is also challenging to accommodate in the real-world due to high cost and implementation time. Considering simulation as a key to this constraint, various software has been developed that can imitate the physical behaviour of Edge/Fog computing environments. Nevertheless, the existing simulators often fail to support advanced service management features because of their monolithic architecture, lack of actual dataset, and limited scope for a periodic update. To overcome these issues, we have developed multiple simulation models for service migration, dynamic distributed cluster formation, and microservice orchestration for Edge/Fog computing in this work and integrated with the existing iFogSim simulation toolkit for launching it as iFogSim2. The performance of iFogSim2 and its built-in policies are evaluated using three use case scenarios and compared with the contemporary simulators and benchmark policies under different settings. Results indicate that the proposed solution outperform others in service management time, network usage, ram consumption, and simulation time.
翻译:事实已经证明,互联网(IoT)是下一代网络-物理系统(Cyber-physical Systems)的构件。 由IoT设备生成的大量数据需要耐久性处理,而通过在远程云层数据中心部署各自的应用程序,这是行不通的。 Edge/Fog 计算是IoT附近网络上云层的一个大有希望的延伸,可以满足智能 CPS的这种要求。然而,Edge/Fog 基础设施的结构和操作差异使得无法直接使用基于云的消费规则来适应这些环境。因此,最近开展了许多研究工作,重点是在 Edge/Fog 计算机环境中高效应用和资源管理。 Scalable Edge/F 系统基础设施必须验证这些政策,由于成本高和执行时间,这在现实世界中也具有挑战性。 将模拟作为关键因素之一,已经开发了各种软件,可以模仿Edge/Fog 的物理行为与基于云层的服务规则直接适应这些环境。 然而,现有的模拟往往无法支持高级服务管理功能管理功能,,因为其运行范围有限, 以及我们所开发的系统化系统化的系统内部系统化系统化系统化系统化系统化系统化的系统化系统化系统化系统化系统化系统化的系统化系统化系统化系统化系统化系统化系统化系统化系统化系统化的系统化系统化系统化系统化系统化, 缺乏实际数据系统化系统化的系统化的系统化的系统化的系统化的系统化的系统化的系统化的系统化的系统化的系统化的系统化的系统化的系统化, 。