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FlowVisor: A Network Virtualization Layer从这个题目可以看出，FlowVisor的主要工作就是进行网络虚拟化。
通过网络虚拟化，多个逻辑上相互独立的网络可以共享同一个物理基础架构，这些网络可能具有不同的编址方法或运转机制。
网络虚拟化的内容：首先可以看计算机的虚拟化。
计算机虚拟化的成功与对底层硬件的清晰抽象密不可分，这样，计算机虚拟化层便可以使用硬件抽象，它允许上层Guest操作系统对硬件资源的分割与共享。
与之类似的，网络虚拟化需要网络本身带有自己的硬件抽象层。
硬件抽象层需要容易被分片，以使得多种不同的网络可以同时运行在一系列不同的硬件之上。
在硬件抽象层之上，允许有新的协议和编址方式独立地运行于在各自独立的分片中，实际上他们都处于同一个物理网络中，并使得网络具有对网络应用进行优化的能力，或对应用所有者提供自定义的能力。
在硬件抽象层以下，可以是不同的硬件。
下图为虚拟化层次示意图。
网络中需要进行虚拟化的资源包括：带宽、拓扑、流量、设备CPU、转发表。
实现：在FlowVisor实现中，OpenFlow被作为硬件抽象层。
类似于计算机上的抽象层，FlowVisor 被设置于底层硬件和上层控制软件之间；类似于操作系统使用指令集控制下层硬件，FlowVisor使用OpenFlow协议控制下层物理网络。
主要特点如下：1、FlowVisor定义分片为：运行在某个交换机逻辑结构上的一组流。
2、FlowVisor安置于OpenFlow控制器与交换机间，保证每一个控制器都只能看到和控制那些事先设置的交换机。
3、FlowVisor通过对组成分区的流集合设置一个最小数据速率来划分带宽。
4、FlowVisor通过跟踪每个流表项所属的控制器来划分每个交换机中的流表。
FlowVisor实现目标：1、透明：网络虚拟层须对网络硬件和控制器透明。
2、隔离：网络虚拟层必须使得分片间高度隔离。
3、可扩展的分片定义。
GuideTable of Contents Chapter 1. Introduction (1)1.1. Service Flow (2)Chapter 2. Requirements (4)Chapter 3. Service Deployment (6)Chapter 4. Configuration (7)4.1. JSON Input (7)4.2. Yaml File (7)4.3. Verifying Output (8)Chapter 5. Troubleshooting (9)Chapter 1.IntroductionDOCA Flow Inspector service allows monitoring real-time data and extraction of telemetry components which can be utilized by various services for security, big data, and other purposes.DOCA Flow Inspector service is linked to the DOCA Telemetry Service (DTS). DOCA Flow Inspector receives mirrored packets from the user and then parses and forwards the data to the DTS which gathers predefined statistics forwarded by various providers/sources. DPCA Flow Inspector uses the DOCA Telemetry API to initiate a communication channel to the DTS while the DPDK infrastructure allows acquiring packets at a user-space layer.DOCA Flow Inspector runs inside of its own Kubernetes pod on BlueField and is intendedto receive mirrored packets for analysis. The packets received are parsed and sent, in a predefined struct, to a telemetry collector which manages the rest of the telemetry aspects.1.1. Service FlowDOCA Flow Inspector receives a configuration file in a JSON format which indicates which of the mirrored packets should be filtered out based on the L4 network header.DOCA Flow Inspector runs on top of DPDK to acquire L4. The packets are then filtered based on the ports configured in the JSON input file. The non-filtered packets are then parsed according to a predefined struct and forwarded to the telemetry collector using IPC.1.A JSON file is used as input to configure the allowed ports.2.Connection to the telemetry collector is initialized and a configuration struct is defined forboth small and large packets.3.Traffic is mirrored to the relevant SF.4.Ingress traffic is received through the configured SF.5.Non-L4 traffic is dropped in using hardware rules, while the allowed ports are filteredusing a software layer in the Arm cores.6.Packets are parsed to the desired struct.7.The telemetry information is forwarded to the telemetry agent using IPC.8.Mirrored packets are freed.The information collected by DOCA Flow Inspector has two different structures that are differentiated by the payload's size (can be viewed when using the DTS to write the date locally).The predefined struct is organized as follows:1.Timestamp2.Host IP3.Data Length4.Data (Payload)5.Source MAC6.Destination MAC7.L4 Protocol8.Source IP9.Destination IP10.Source Port11.Destination Port12.TCP FlagsChapter 2.RequirementsDOCA Flow Inspector service must be used with DTS of the same DOCA version.Before deploying the flow inspector container, ensure that the following prerequisites are satisfied:1.Create the needed files and directories.Folders should be created automatically. Make sure the .json file resides inside thefolder:$ touch /opt/mellanox/doca/services/flow_inspector/bin/flow_inspector_cfg.json Validate that DTS's configuration folders exist. They should be created automatically when deploying DTS using the .yaml file.$ sudo mkdir -p /opt/mellanox/doca/services/telemetry/config$ sudo mkdir -p /opt/mellanox/doca/services/telemetry/ipc_sockets$ sudo mkdir -p /opt/mellanox/doca/services/telemetry/data2.Allocate hugepages.Allocated huge pages for a DPDK-based application. This requires root privileges.$ sudo echo 2048 > /sys/kernel/mm/hugepages/hugepages-2048kB/nr_hugepagesOr alternatively:$ sudo echo '2048' | sudo tee -a /sys/kernel/mm/hugepages/hugepages-2048kB/nr_hugepages$ sudo mkdir /mnt/huge$ sudo mount -t hugetlbfs nodev /mnt/hugeDeploy a scalable function according to Scalable Function Setup Guide and mirror packets accordingly using the Open vSwitch command.For example:a).Mirror packets from p0 to sf0:$ ovs-vsctl add-br ovsbr1$ ovs-vsctl add-port ovsbr1 p0$ ovs-vsctl add-port ovsbr1 en3f0pf0sf0$ ovs-vsctl -- --id=@p1 get port en3f0pf0sf0 \-- --id=@p2 get port p0 \-- --id=@m create mirror name=m0 select-dst-port=@p2 select-src-port=@p2 output-port=@p1 \-- set bridge ovsbr1 mirrors=@mb).Mirror packets from pf0hpf to sf0:$ ovs-vsctl add-br ovsbr1$ ovs-vsctl add-port ovsbr1 pf0hpf$ ovs-vsctl add-port ovsbr1 en3f0pf0sf0$ ovs-vsctl -- --id=@p1 get port en3f0pf0sf0 \-- --id=@p2 get port pf0hpf \Requirements-- --id=@m create mirror name=m0 select-dst-port=@p2 select-src-port=@p2 output-port=@p1 \-- set bridge ovsbr1 mirrors=@mThe output of last command should be in the following format:exp: 0d248ca8-66af-427c-b600-af1e286056e1Note: The designated SF must be created as a trusted function. Additional details canbe found in the Scalable Function Setup Guide.Chapter 3.Service DeploymentFor information about the deployment of DOCA containers on top of the BlueField DPU, refer to NVIDIA DOCA Container Deployment Guide.DTS is available on NGC, NVIDIA's container catalog. Service-specific configuration steps and deployment instructions can be found under the service's container page.Chapter 4.Configuration4.1. JSON InputThe flow inspector configuration file should be placed under /opt/mellanox/services/ flow_inspector/<json_file_name>.json and be built in the following format:{"protocols": ["tcp", "udp"], #What L4 protocols are allowed"ports": #What L4 port ranges are allowed [src,dst][["*","433"], #In this case, “*” stands for all source ports and dst port 433 ["20480","28341"],["28341","20480"],["1720","1023"], # src port 1720, dst port 1023]}Note: If a packet contains L4 ports which are not specified in the file, it is filtered out.4.2. Yaml FileThe .yaml file downloaded from NGC can be easily edited according to your needs.env:# Set according to the local setup- name: SF_NUM_1value: "2"# Additional EAL flags, if needed- name: EAL_FLAGSvalue: ""# Service-Specific command line arguments- name: SERVICE_ARGSvalue: "--policy /flow_inspector/flow_inspector_cfg.json -l 4"‣The SF_NUM_1 value can be changed according to the SF used in the OVS configuration and can be found using the command in Scalable Function Setup Guide.‣The EAL_FLAGS value must be changed according to the DPDK flags required when running the container.‣The SERVICE_ARGS are the runtime arguments received by the service:‣-l, --log-level <value> – sets the log level from 0 to 4Configuration ‣-p, --policy <json_path> – sets the JSON path inside the container4.3. Verifying OutputEnabling write to data in the DTS allows debugging the validity of DOCA Flow Inspector.The data written locally should be shown in the following format, which has been parsed by the flow inspector:doca_telemetry_long_event {doca_telemetry_timestamp_t timestamp;char host_ip[MAX_IP_LEN];int64_t data_len;char data[MAX_DATA_LEN_LONG];char src_mac[MAX_MAC_LEN];char dest_mac[MAX_MAC_LEN];char protocol[PROTOCOL_LEN];char src_ip[MAX_IP_LEN];char dest_ip[MAX_IP_LEN];int src_port;int dest_port;int flags;};Uncomment the following line in dts_config.ini:#output=/dataNote: Any changes in dts_config.ini necessitate restarting the pod for the new settings toapply.The schema folder contains JSON-formatted metadata files which allow reading thebinary files containing the actual data. The binary files are written according to the naming convention shown in the following example (apt install tree):$ tree /opt/mellanox/doca/services/telemetry/data//opt/mellanox/doca/services/telemetry/data/├── {year}│ └── {mmdd}│ └── {hash}│ ├── {source_id}│ │ └── {source_tag}{timestamp}.bin│ └── {another_source_id}│ └── {another_source_tag}{timestamp}.bin└── schema└── schema_{MD5_digest}.jsonNew binary files appear when the service starts or when binary file's max age/size restriction is reached. If no schema or no data folders are present, refer to the Troubleshooting section in the NVIDIA DOCA Telemetry Service Guide.Note:source_id is usually set to the machine hostname. source_tag is a line describing thecollected counters, and it is often set as the provider's name or name of user-counters. Reading the binary data can be done from within the DTS container using the following command:crictl exec -it <Container ID> /opt/mellanox/collectx/bin/clx_read -s /data/schema / data/path/to/datafile.binChapter 5.TroubleshootingRefer to the Troubleshootings section in NVIDIA DOCA Container Deployment Guide and NVIDIA DOCA Telemetry Service Guide.Additional notes:‣Make sure hugepages are allocated (step 2 under Requirements)‣Validate the JSON file and port configNVIDIA DOCA Flow Inspector Service MLNX-15-060530 _v1.4 | 9NoticeThis document is provided for information purposes only and shall not be regarded as a warranty of a certain functionality, condition, or quality of a product. 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花花seo软件培训花花QQ 88610580大家好本培训内容包括xr gs gsa 虫虫xs 等主流外贸seo软件的使用跟技巧培训视频分为1基础教程视频内容包括软件功能基本介绍跟软件的基本使用2使用技巧教程视频内容包括资源的获取筛选足迹写法策略跟功能的实现这一部分主要是实战经验积累下来的技巧3常见问题解答视频内容包括各种特殊情况解决办法奇葩问题的解答突发问题解决日常工作中遇到的各种问题本培训本着免费的原则基础教程免费共享发布技巧跟问题解答教程用于有条件交流交换特殊技巧防止广泛传播做加密处理请大家谅解Xrumer 基础篇软件的功能介绍界面我们就不介绍了功能仪表一目了然如果实在理解不了请多次尝试研究1安装登录（略）输入帐号密码即可激活输入你xr帐号密码这里也容易遇到问题此处问题key 验证无法激活参考常见问题解答视频这个是新手经常遇到也是非常纠结的问题2 语言选择目前12.06 版本官方自带中文语言包请在倒数第一个选项选择有的服务器不支持中文请牢记每个选项内容3建立项目我们要做一下项目所谓的项目就是我们要进行spam 行为的网站配置就是我们常说的发外链行为这几个位置都可以简历项目您随意必要的内容项目内容必写如果不会填写请直接自动填充自动填写可以随机写所以不用我们花什么时间折腾刚刚的是自动填写的一个配置中文不可以切换会英文你会看到一些定义选项Nich真实姓名Icq城市国家职业兴趣性别就不做详细介绍了发过手工外链的朋友知道这些经常要填写的表单要注意的地方主页这里可以填写我们要发的网站主要这个地方只支持一个网站这个请牢记签名这里可以填写你要发的网站的连接可以发锚点这里你随意我在后面的发布会演示这个具体出现在那里邮箱因为有的网站需要邮箱激活请正确填写邮箱这个可以自己去注册然后填写他支持好几个邮箱也是可以自由发挥但是邮箱激活有一个技巧我会在技巧教程里面讲你们也知道一个邮箱用的多了会封Xr 可以自己注册邮箱据我所知这个功能现在用处不大了因为这个邮箱不好用我们来说最重要的内容编辑这里是主要的内容编辑模块标题就写标题这个标题大家懂的你发帖子要有个标题吧长度自己把握子标题其实也可以写标题有的外联网站需要子标题我一般把标题跟子标题搞的一样然后就是内容了在xr 里面#file_links[] 这个是调用一个txt 文件的内容 5 跟l 是参数5 的意思是调用五行l 是后面加回车这个命令有l n s 这三个参数分别代表不同的意思我们常用的是l如果我们要调用a 文件3行内容就是#file_links[C:\Users\Administrator\Desktop\xr\a.txt,3,L]这就是了所有调用这个发挥的空间比较大每个人习惯不一样所以用法不一样我是习惯内容啊锚点啊全部用#file_links 这个命令来完成这个命令的发挥还有多级调用相比与#file= 跟读取功能这个命令出错少这一块内容也都可以用#file_links 命令来完成前提是你要做好对应的txt 让他调用我现在来做一个简单的调用演示Title 是我做好的标题这个出错了我换一下换好了这里面是我要发的文章内容了我现在做一个完整的操作这个内容我调用一行Link 里面是我做好的锚点我调用一行Title 我也调用一行我来test 测试一下看看有没有错误可以看到个方面的内容展示了把我们换一下title 让他调用五行这就调用了五行了我在调用五条锚点把好我现在做一个我习惯调用一遍文章就这么做好了我是这么操作的然后把签名那里搞一下出错了其实最好还是用英文的语言包出现警告实际是保存成功有huahua 这个项目了#file= 这个命令是读取txt内容直接把txt里面的内容发出来是两个很重要的命令这个视频是两个部分下一集我来发布把发布的一些设置给大家演示一下并讲下连接的几个参数谢谢大家观看如果对整套教程感兴趣或者想索取视频下载可以加下我的qq我会把你拉到一个集中的讨论群中谢谢第二集见。
3D学习——3 算例1新建一个项目， & :\3D\\\，使用缺省选项，因为将引入其它形状作为固体， 1中坐标范围()为：X: 5.0～15.0, Y: 5.0～15.0, Z: 0.0～15.0的单位对3D来说是未知的，可能是英寸、英尺、毫米等，现在假设模型是（国际单位），那么流体或固体的属性都应该是的。
（这里有些糊涂，3D会使用文件中的单位么？）模拟的情况为从圆柱形底部入口向球形水箱内充水，计算域应该和此形状范围相近，略大一点但不能紧贴着形状边界。
底边界的位置和边界条件类型有关，如果入口处流速已知那么模拟多少入口长度没有关系，因为断面形状是固定的，但是如果特定位置的压力是已知的，那么要把边界放在该位置处因为压力会受入口长度的重力和粘性效应影响而变化。
建议计算域要大于最大几何尺寸的5%，底边界除外，可以小于5%，这样计算域底部和入口交叉，不会挡住水流，因此计算域定义为X: 4.95～15.05 Y: 4.95～15.05 Z: 0.05～15.05在的 1中按上面参数修改计算域尺寸，然后在 1上右键选择更新显示。
= 数= = ν= 数= = gΔρL^2/σ= 数= = ^2ρ/σU是特征流速，L是特征长度，g是重力加速度，ρ是密度，σ是表面张力系数。
这个问题中大约用100s充满水，冲水体积540立米，入口直径2m，入口流速为540/(100*π*1^2)=1.7，数为1.7*2/(1.06)=3.4e6由于数远大于1，因此惯性力比粘性力更重要，即不需要很密的网格考虑粘性力，也不需要指定粘性特性。
考虑表面张力影响的系数为= gΔρL2/σ = 9.8^2 * 1000 ^3 * (2m)^2/(0.073^2) = 5.4e5= 2ρ/σ = 2m * (1.7 )^2 * 1000 ^3 / (0.073^2) = 7.9e4可以看出表面张力也不需要考虑。
缺省网格在X、Z方向为10，Y方向为1。
flow插件使用方法
Flow是一款基于JavaScript语言的静态类型检查工具，它能够在代码编写过程中检查类型错误，避免在运行时出现错误。
Flow插件则是为了更好地使用Flow工具而开发的一款插件。
本文将介绍Flow插件的使用方法。
1. 安装Flow插件
首先需要全局安装Flow工具：npm install -g flow-bin，安装完成后运行flow start即可启动Flow服务。
然后在项目目录下安装Flow插件：npm install --save-dev babel-plugin-transform-flow-strip-types。
2. 配置.babelrc文件
在项目根目录下创建.babelrc文件，并添加以下配置：
{
'plugins': ['transform-flow-strip-types']
}
3. 在代码中使用Flow
在需要使用流类型检查的文件中，添加//@flow注释即可开启Flow检查。
例如：
// @flow
function add(a: number, b: number) {
return a + b;
}
4. 运行Flow检查
在终端中输入flow check命令，即可对代码进行静态类型检查。
Flow插件的使用方法就介绍到这里，希望能帮助到大家。
FlowTracker 使用说明一、检查工具：一卷标线和固定它的桩、备用电池（8节）、打开电池盒的十字螺丝刀1、顶置式的测杆和FlowTracker的主机拉标线：可以用桩固定在地上或者绑在树上，重要的是一定要使标线与流动方向垂直，并且保持标线处于拉紧的状态。
另外一点是，并不是必须从零点开始，这在实际测量中是允许的。
当我们面向河流的下游时，右侧河岸称为右岸，左侧河岸称为左岸。
（在我的标线上我的右岸的起始点是3.9米，左岸的起始点是6.6米，我们不需要从零点开始，只要把标线拉起来，以河水边缘的标线读数作为开始就行了）电池电量：打开仪器，按下数字2“系统功能键”，再按下数字2检查存储空间（显示现存文件和剩余可用文件）。
接下来检查电池情况，长按数字5，FlowTracker会计算出电池（碱性电池、镍氢电池和镍镉电池）电压。
温度数据：探头本身带有温度传感器，温度数据是用来计算声速，从而计算流速的，所以温度是一个需要测量的重要参数。
将FlowTracker探头浸入水中几分钟，使之达到平衡，如果FlowTracker放在温度高达35摄氏度的卡车上，然后将其用在10或者15摄氏度的水中，仪器需要一段时间来达到平衡温度变化，浸入水中几分钟后，按下数字4，显示温度。
流速的检测：检验原始流速，即X流速、Y流速和SNR值。
SNR是信噪比，对于任何一种多普勒测量都非常重要。
对于FlowTracker来说，我们期望的信噪比是10dB以上，但是即使到了4dB，它仍然可以正常工作，测量过程中信噪比会波动，这是正常的，不会影响测量的准确性。
然后按下数字6测量原始流速，Vx是河流流向分量，Vy是侧向分量。
系统时钟设置：按下数字9设置日期和时间自动QC检测（可选）：按下数字键7，自动QC对波束进行随机检验，在测量过程中也可以进行这种自动波束检验，二、参数设置在主菜单中按数字键1进行参数设置。
单位设定：数字键1，设定为公制，平均时间：数字2，设置为40秒，测量模式：数字键3，流量。
英文回答：The functionality of the collect method within the flow task enables users to gather and merge the oues of multiple subtasks into a unified data structure. This capability proves beneficial when there is a requisite to aggregate or process the output of each subtask collectively. The collect method acceptsa function as an argument, which defines the approach for merging the results. Said function mayprise a built-in operation such as sum, max, min, or a user-defined custom function. The collect method is applicable to a sequence of tasks or to the output of a single task. In the former scenario, it sequentially traverses each subtask andpiles the oues, while in the latter, it simply delivers the result of the singular task.流程任务内收集方法的功能使得用户能够收集多个子任务的oues并合并到一个统一的数据结构中。
当需要汇总或处理每个子任务的产出时，这种能力证明是有益的。
flowise nodes使用手册Flowise 是一个业务流程管理（BPM）工具，用于设计、执行和监控业务流程。
在 Flowise 中，"节点" 是流程定义中的一个关键元素，代表流程中的不同步骤或活动。
Flowise 节点使用手册：1. 创建节点：在 Flowise 设计器中，你可以通过拖拽的方式从工具栏创建不同类型的节点。
根据你的业务需求选择合适的节点，例如，开始节点、用户任务节点、自动任务节点等。
2. 配置节点属性：每个节点都有其特定的属性，这些属性决定了节点的行为和功能。
在节点的配置面板中，你可以设置节点的标题、描述、超时时间、优先级等。
3. 连接节点：在设计流程时，你需要将各个节点连接起来以定义流程的执行顺序。
使用箭头线从一个节点的"输出"连接到另一个节点的"输入"。
4. 设置节点逻辑：根据需要，你可以为节点设置条件逻辑，以决定流程在特定情况下如何执行。
在条件逻辑中，你可以使用变量、条件表达式等来定义决策路径。
5. 发布与执行流程：在完成流程设计后，你可以将其发布到 Flowise 服务器上。
用户可以通过 Flowise 的用户界面启动和执行流程实例。
6. 监控与调整：Flowise 提供了一个实时的监控界面，可以让你查看流程实例的状态、日志和性能数据。
根据实际运行情况，你可以对节点进行优化或调整以满足业务需求的变化。
7. 集成与扩展：Flowise 支持与其他系统的集成，如CRM、ERP等。
通过API和插件机制，你可以扩展Flowise的功能，满足更复杂的业务需求。
8. 培训与支持：对于新用户，Flowise 提供培训材料和在线支持以帮助你快速上手。
定期的更新和版本发布也会带来新功能和改进。
9. 安全与权限：Flowise 提供了强大的安全和权限管理功能，确保流程和数据的安全性。
通过角色和权限设置，你可以控制用户对不同流程和节点的访问和操作权限。
