边缘计算中基于容器技术的无限资源协调器

Zhenguang Yu, Jingyu Wang, Q. Qi, Haifeng Sun, Jian Zou
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引用次数: 2

摘要

边缘计算对边缘资源进行了重新组织,但目前不稳定、不可靠,可能会偶尔发生编排。本文提出了一种将云计算和基于容器的边缘计算相结合的无界资源编排器(Boundless Resource Orchestrator, BRO)架构。所建议的体系结构利用容器技术来加速和优化编排过程。在体系结构中实现主从范式,以提供区域自治能力,而不是集中式体系结构。考虑到边缘云环境的不断变化,提出了一种基于最小成本的最佳性能(BPLC)编排策略,以动态、自动地以最小的成本实现计算性能的最大化。对基础设施和编排策略进行了测量实验,证明了BRO和BPLC是处理边缘计算中大量任务的首选选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Boundless Resource Orchestrator Based on Container Technology in Edge Computing
Edge computing reorganizes edge resources but is unstable and unreliable at present, thus, orchestration may occur occasionally. This paper provides an architecture named Boundless Resource Orchestrator (BRO) combing cloud computing and edge computing based on containers. The proposed architecture leverages container technology to accelerate and optimize the orchestration process. 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. 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.
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