基于负载调度的docker容器使用优化

M. SureshKumar, P. Rajesh
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引用次数: 15

摘要

在这个项目中,我们介绍了一个能量感知的处理模型,用于平衡docker容器的负载和使用docker(1)的作业扩展。所使用的方法是创建一个能源的最佳制度,其中集装箱操作。减少能源的一个重要策略是将负荷集中在集装箱上。当负载增加时,通过api调用可以生成一个新的容器,该容器可以分配要处理的作业。可以根据阈值条件自动创建容器。这确保了容器的其余部分不会被作业过载。当负载减少时,集装箱可以被杀死以节省能源。使用Energy-Aware缩放算法,确保尽可能多的容器在各自的操作域内运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing the docker container usage based on load scheduling
In this project we introduce an energy-aware processing model used for balancing the load of docker container and job scaling using docker(1). The approach used is to create an energy optimal regime within which the containers operate. An important strategy for energy reduction is concentrating the load on the containers. When the load increases, then by api call a new container can be spawned which can the allocated with jobs to process. The container can be created automatically based upon threshold conditions. This ensures that the rest of the container is not over-loaded with jobs. When the load decreases that container can be killed to save energy. The Energy-Aware scaling algorithm is used which ensures that the largest possible number of containers operate within their respective operational domain.
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