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首页> 外文会议>IEEE International Conference on computer supported cooperative work in design >RPBG: Intelligent Orchestration Strategy of Heterogeneous Docker Cluster Based on Graph Theory
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RPBG: Intelligent Orchestration Strategy of Heterogeneous Docker Cluster Based on Graph Theory

机译：RPBG：基于图论的异构Docker集群智能编排策略

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This paper first analyzes the Spread scheduling algorithm of the Docker orchestration engine SwarmKit. For the Spread algorithm to ignore the resource heterogeneity of the node, the application performance is not ideal when the resources are inconsistent. The RPBG strategy with collaborative orchestration is proposed. It mainly combines the steps of collaboratively initializing resource placement, dynamically evaluating dominant resources of service, and automatically adjusting node load to comprehensively consider the heterogeneity of resources such as memory, CPU and network I/O of each node of the cluster and resolve container conflicts based on graph theory. Finally, a series of experiments have been carried out to verify that RPBG is superior to Spread strategy in terms of resource utilization and application performance. The experimental results show that the application performance of the SwarmKit cluster with built-in RPBG strategy is improved by nearly 13% compared to the original strategy.
机译：本文首先分析了Docker编排引擎SwarmKit的Spread调度算法。为了使Spread算法忽略节点的资源异构性，当资源不一致时，应用程序性能将不理想。提出了带有协作编排的RPBG策略。它主要包括以下步骤：协作初始化资源放置，动态评估服务的主要资源以及自动调整节点负载，以全面考虑群集的每个节点的资源（如内存，CPU和网络I / O）的异构性并解决容器冲突基于图论。最后，已经进行了一系列实验，以验证RPBG在资源利用率和应用程序性能方面优于Spread策略。实验结果表明，内置RPBG策略的SwarmKit集群的应用性能比原始策略提高了近13％。

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