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.

中文翻译：

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IFogSim2：用于边缘和雾计算环境中移动性、集群和微服务管理的扩展 iFogSim 模拟器

物联网 (IoT) 已被证明是下一代网络物理系统 (CPS) 的基石。物联网设备生成的大量数据需要对延迟敏感的处理，这在远程云数据中心部署各自的应用程序是不可行的。边缘/雾计算是物联网附近网络中云的一个有前途的扩展，可以满足智能 CPS 的此类要求。然而，Edge/Fog 基础设施的结构和操作差异阻碍了将基于云的服务法规直接应用于这些环境。因此，最近进行了许多研究工作，重点是边缘/雾计算环境中的高效应用程序和资源管理。可扩展的边缘/雾基础设施是验证这些策略的必要条件，由于高昂的成本和实施时间，这在现实世界中也具有挑战性。考虑到模拟是这种约束的关键，已经开发了各种可以模拟边缘/雾计算环境物理行为的软件。然而，现有的模拟器通常无法支持高级服务管理功能，因为它们的整体架构、缺乏实际数据集以及定期更新的范围有限。为了克服这些问题，我们在这项工作中开发了多个用于边缘/雾计算的服务迁移、动态分布式集群形成和微服务编排的仿真模型，并与现有的 iFogSim 仿真工具包集成，将其作为 iFogSim2 发布。使用三个用例场景评估 iFogSim2 及其内置策略的性能，并与不同设置下的当代模拟器和基准策略进行比较。结果表明，所提出的解决方案在服务管理时间、网络使用、内存消耗和模拟时间方面优于其他解决方案。