Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network
Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network
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DOI：
10.1109/access.2020.2981860
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发表时间：
2020-03
期刊：
影响因子：
3.9
通讯作者：
Xuehua Zhao;Changcheng Huang
中科院分区：
文献类型：
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作者：
Xuehua Zhao;Changcheng Huang
如今，基于雾云的物联网（IoT）应用在用户中的使用量正在逐步增长。这些应用可以是电子运输、电子医疗保健、增强现实和3D游戏。通常，当代云框架提供基于虚拟机的服务。这些框架产生了以下问题，例如长启动时间，开销和运行物联网应用程序的不必要成本。我们提出了一个新的基于微服务容器雾系统（MSCFS）的框架，以最小的成本运行移动性和延迟敏感的应用程序。研究了异构雾服务器中的高效任务调度问题。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，该框架将任务调度分解为多个步骤。如任务排序步骤、资源匹配步骤和调度步骤。实验结果表明，所提出的MSCFS和CACOTS方案可以提高服务器的利用率。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。
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.