Network Policy定义网络策略,配合策略控制器(Policy Controller)进行策略的实现。 68、简述Kubernetes网络策略原理? Network Policy的工作原理主要为:policy controller需要实现一个API Listener,监听用户设置的Network Policy定义,并将网络访问规则通过各Node的Agent进行实际设置(Agent则需要通过CNI网络插件实现)。 69、简述Kube...
(source [128]) • Node Monitoring Agent (NMA): The NMAs are responsible of collecting the statistics of resource usage (CPU, Memory, Hypervisor…) in a certain node and deliver them to the NSAs. Each NMA is associated with a certain zone in the Cloud. Often, it is installed in ...
Zabbixis our top pick for a free, open source network monitoring tool because it has a very appealing interface, which makes it easy to use. The service includes a network discovery process that identifies all devices and maps your network. The monitor makes frequent checks on all devices for...
S2I 构建:是 OpenShift 的原创,它根据指定的构建镜像(Builder Image)和源代码(Source Code),构建生成可部署 Docker 镜像,并推送到 OpenShift 内部集成镜像库中。 Pipeline 构建:允许开发者定义 Jenkins Pipeline。在项目首次使用该构建方式时,OpenShift 会启动一个 Jenkins 服务,然后再将该 Pipeline 交由它来执行,...
network session at the time, the session must be transferred to the new base station in what is called ahandoff. The decision-making process for handoffs is under the purview of the MME, which has historically been a proprietary aspectof the cellular equipment vendors (although open-source MME...
第三层代理(L3 agent) OpenStack中为虚拟网络提供第三层(路由)服务的网络代理 安全组(security group) 一组应用于计算实例的网络过滤规则 dnsmasq 为虚拟网络提供DNS、DHCP、BOOTP和TFTP服务的后台进程 flat network Virtual network type that uses neither VLANs nor tunnels to segregate tenant traffic. Each flat...
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was not biased towards activity on any single life cycle stage, allowing the discovery of multistage-active scaffolds and those with stage-specific activity. Importantly, we report the profiling of a subset of compounds as transmission-blocking molecules that would not have been identified in a ...
All backend capabilities, namely Agent Center, service discovery, etc., are consistent with the internal version of ByteDance; Provide a community edition rule engine, namely Elkeid HUB, and use it as an example with a small number of strategies; ...
CityLearn - CityLearn is an open source OpenAI Gym environment for the implementation of Multi-Agent Reinforcement Learning (RL) for building energy coordination and demand response in cities. CleanRL - CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementat...