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Boundless Application and Resource Based on Container Technology

机译:基于集装箱技术的无限应用与资源

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Limitations like network latency and expensive cost are pushing cloud computing to the edge. Edge computing, also known as fog computing is an extension of cloud computing, providing features to solve problems of cloud computing. However, edge computing is unstable and not enough reliable at present. Orchestration may occur occasionally in order to meet the need of the users. This paper provides an architecture named Boundless Resource Orchestrator (BRO) combing cloud computing and edge computing based on containers. Containers provide more lightweight virtualization compared to VMs. The proposed architecture leverages container technology to accelerate and optimize the orchestration process taking container as the basic component of orchestrating and minimum resource unit for service distribution. A master-slave paradigm is implemented in the architecture to provide region autonomy abilities rather than the centralized architecture. Considering the ever-changing circumstance of edge cloud, an orchestration strategy named Best Performance at Least Cost (BPLC) is proposed to maximize the performance of computing at minimum cost dynamically and automatically considering real-time conditions of the cloud. Experiments are carried out on measuring couples of infrastructures and orchestration strategies that prove the BRO and BPLC as prior choices dealing with massive jobs in edge computing.
机译:网络延迟和昂贵成本等限制将云计算推向边缘。边缘计算,也称为FOG计算是云计算的扩展,提供解决云计算问题的功能。然而,边缘计算是不稳定的,目前不够可靠。偶尔可能会出现编排,以满足用户的需求。本文提供了一种名为Wringless资源orchestrator(BRO)的架构,梳理基于容器的云计算和边缘计算。与VM相比,容器提供更轻量级的虚拟化。所提出的架构利用集装箱技术加速和优化了编排过程作为服务分发的协调和最小资源单元的基本组件。在架构中实现了主站的范式,以提供区域自治能力而不是集中式架构。考虑到边缘云的不断变化的环境,提出了至少成本(BPLC)命名为最佳性能的管弦郎战略,以最大限度地通过动态和自动考虑云的实时条件来最低计算计算性能。在测量基础设施和编排策略的夫妇上进行了实验,证明了兄弟和BPLC作为优先考虑的大规模工作的先前选择。

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