A Comparison of Monitoring Approaches for Virtualized Services at the Network Edge

Marcel Großmann, C. Schenk
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引用次数: 7

Abstract

Today the postponement of cloud services to data centers at the edge of a network, as well as a further shifting of functionality in the paradigm of fog computing to a multitude of geographically distributed nodes, necessitates a transparent resource evaluation in a heterogeneous environment to expose all available computing capabilities. A lot of monitoring tools to evaluate resource utilization already exist for cloud providers. However, most of them barely fulfill the requirements to monitor services all the way down to the devices of the Internet of Things paradigm.We present an evaluation of existing open source monitoring tools for fog computing scenarios, especially using container virtualization technology. With our results we depict the current state of the art and possible future improvements to handle small, energy-efficient devices without overburdening them.
网络边缘虚拟化服务监控方法的比较
今天,云服务延迟到网络边缘的数据中心,以及雾计算范式中的功能进一步转移到地理上分布的众多节点,需要在异构环境中进行透明的资源评估,以公开所有可用的计算能力。对于云提供商来说,已经存在许多用于评估资源利用率的监控工具。然而,它们中的大多数几乎无法满足从物联网范式的设备一直监控服务的要求。我们对雾计算场景的现有开源监控工具进行了评估,特别是使用容器虚拟化技术。根据我们的研究结果,我们描绘了当前的艺术状态和未来可能的改进,以处理小型节能设备,而不会给它们带来过重的负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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