Docker Container Deployment in Fog Computing Infrastructures

Arif Ahmed, G. Pierre
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引用次数: 64

Abstract

The transition from virtual machine-based infrastructures to container-based ones brings the promise of swift and efficient software deployment in large-scale computing infrastructures. However, in fog computing environments which are often made of very small computers such as Raspberry PIs, deploying even a very simple Docker container may take multiple minutes. We demonstrate that Docker makes inefficient usage of the available hardware resources, essentially using different hardware subsystems (network bandwidth, CPU, disk I/O) sequentially rather than simultaneously. We therefore propose three optimizations which, once combined, reduce container deployment times by a factor up to 4. These optimizations also speed up deployment time by about 30% in datacenter-grade servers.
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雾计算基础设施中的Docker容器部署
从基于虚拟机的基础设施到基于容器的基础设施的转变带来了在大规模计算基础设施中快速有效的软件部署的希望。然而,在雾计算环境中,通常由非常小的计算机(如Raspberry pi)组成,部署一个非常简单的Docker容器可能需要几分钟。我们演示了Docker对可用硬件资源的低效使用,本质上是顺序使用不同的硬件子系统(网络带宽、CPU、磁盘I/O),而不是同时使用。因此,我们提出了三个优化,一旦结合起来,将容器部署时间减少到原来的4倍。这些优化还将数据中心级服务器的部署时间缩短了约30%。
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