Nowadays, the usage of the fog cloud-based Internet of Things (IoT) applications among users has been growing progressively. These applications may be E-Transport, E-Healthcare, Augmented Reality, and 3D-Game. Generally, contemporary cloud frameworks offer services based on virtual machines. These frameworks incurred with following issues such as long boot-time, overhead and unnecessary cost to run the IoT applications. We propose a new Microservice container fog system (MSCFS) based framework to run the mobility and delay-sensitive applications with minimum cost. The study the cost-efficient task scheduling problem in the heterogeneous fog servers. Furthermore, the study introduces the Cost Aware Computational Offloading and task scheduling (CACOTS)framework, which solves the task scheduling into multiple steps. Such as task sequencing step, resource matching step and scheduling step. The experimental results prove that the proposed MSCFS and CACOTS schemes can enhance server utilization. As decrease the services latency and average services bootup time more effectively, and minimize costs.

中文翻译：

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异构雾云网络中基于微服务的计算卸载框架和成本高效的任务调度算法


如今，用户对基于雾云的物联网（IoT）应用的使用量正在逐步增长。这些应用程序可能是电子交通、电子医疗保健、增强现实和 3D 游戏。一般来说，当代的云框架提供基于虚拟机的服务。这些框架存在以下问题，例如运行物联网应用程序的启动时间长、开销和不必要的成本。我们提出了一种基于微服务容器雾系统（MSCFS）的新框架，以最低的成本运行移动性和延迟敏感的应用程序。研究异构雾服务器中经济有效的任务调度问题。此外，该研究还引入了成本感知计算卸载和任务调度（CACOTS）框架，该框架将任务调度解决为多个步骤。例如任务排序步骤、资源匹配步骤和调度步骤。实验结果证明所提出的MSCFS和CACOTS方案能够提高服务器利用率。更有效地减少服务延迟和平均服务启动时间，并最大限度地降低成本。