Energy Savings & Resiliency with Closed Loop Platform Automation

John J. Browne, Krzysztof Kepka, Patrick Kutch, Sunku Ranganath
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引用次数: 0

Abstract

This demo showcases the advancements made through utilizing OPNFV Barometer project by introducing local and remote corrective action frameworks with industry standard cloud native orchestrators like Kubernetes, monitoring agents like Collectd, Time Series Database (TSDB) like Prometheus and InfluxDB for widely adopted NFV use cases of Virtual Border Network Gateway (vBNG) and Virtual Cable Modem Termination Systems (vCMTS). Leveraging advanced platform reliability and adaptive power saving telemetry, the demo provides methodologies in to identifying the platform capabilities & provision them for optimal run time power savings and reliability. The two part demo showcases in part one, automated memory fault detection and swap over of vBNG containers to hot stand by containers via local corrective action, while part two showcases adaptive power control of containerized vCMTS workload across multiple compute nodes, essentially providing closed loop platform automation.
闭环平台自动化的节能和弹性
这个演示展示了OPNFV Barometer项目通过引入本地和远程纠正行动框架所取得的进步,这些框架带有行业标准的云原生编排器(如Kubernetes)、监控代理(如Collectd)、时间序列数据库(如Prometheus)和InfluxDB),用于广泛采用的NFV用例,如虚拟边界网络网关(vBNG)和虚拟电缆调制解调器终端系统(vCMTS)。利用先进的平台可靠性和自适应节能遥测技术,演示提供了识别平台功能并提供最佳运行时节能和可靠性的方法。这个由两部分组成的演示在第一部分中展示了自动内存故障检测和通过本地纠正操作将vBNG容器切换到热备容器,而第二部分展示了跨多个计算节点的容器化vCMTS工作负载的自适应功率控制,本质上提供了闭环平台自动化。
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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