OpenNESS 19.12 Design
Openness released 19.12 on December 21 2019 and this new release has removed the deployment mode ( kubernetes + NTS ). Two modes is supported now: Native deployment Mode (which is based on pure docker/libvirt) and Infrastructure Mode (which is based on kube-ovn), below are the brief summary of the difference of these 2 modes:
Functionality | Native Deployment Mode | Infrastructure Deployment Mode |
Usage Scenarios | On-Premises Edge | Network Edge |
Infrastructure | Virtualization base: docker/libvirt Orchestration: OpenNESS controller Network: docker network (container) + NTS (through new added KNI interface) | Orchestration: Kubernetes Network: kube-ovn CNI |
Micro-Services in OpenNESS Controller | Web UI: controller UI Edge Node/Edge application lifecycle management Core Network Configuration Telemetry | Core Network Configuration: Configure the access network (e.g., LTE/CUPS, 5G) control plane Telemetry |
Micro-Services in OpenNESS Node | EAA: application/service registration, authentication etc. ELA/EVA/EDA: used by controller to configure host interfaces, network policy (used by NTS), create/destroy application etc. DNS: for client to access MS in edge node NTS: traffic steering | EAA: application/service registration, authentication etc. EIS(Edge Interface Service), looks to be similar with providernet implemented in ovs4nfv k8s CNI DNS: for client to access MS in edge node |
Application on-boarding | OpenNESS Controller Web UI or Restful API | Kubernetes (e.g. Kubectl apply -f application.yaml) Note: unlike 19.09, No UI used to on-board application |
Edge node interface configuration | ELA (Edge LifeCycle Agent, Implemented by OpenNESS) – Configurated by OpenNESS controller | EIS (Edge Interface Service, which is an kubectl extension to configurate edge node host network adapter), use
e.g. kubectl interfaceservice attach $NODE_NAME $PCI_ADDRESS |
Traffic Policy configuration | EDA (Edge Dataplane Agent, Implemented by OpenNESS) – Configurated by OpenNESS controller | Kubenetes Network Policy CRD
e.g. kubectl apply -f network_policy.yml Note: unlike 19.09, No UI used to configure policy |
DataPlane Service | NTS (Implemented based on DPDK in OpenNESS) to provide additional KNI interface for container | kube-ovn + Network policy |
Gap Analysis for Integrating OpenNESS with ICN
Network Policy
Network policy and DNS is used for traffic steering. Network policy is used for restrict access among services but NOT “proactively” forward the traffic, While the OpenNESS DNS service can help “redirect” the external client’s traffic to the edge application service。
By default, in a Network Edge environment, all ingress traffic is blocked (services running inside of deployed applications are not reachable) and all egress traffic is enabled (pods are able to reach the internet). The following NetworkPolicy definition is used:
apiVersion: networking.k8s.io/v1 metadata: name: block-all-ingress namespace: default # selects default namespace spec: podSelector: {} # matches all the pods in the default namespace policyTypes: - Ingress ingress: [] # no rules allowing ingress traffic = ingress blocked
Admin can enable access to certain service by applying a NetworkPolicy CRD. For example:
1. To deploy a Network Policy allowing ingress traffic on port 5000 (tcp and udp) from 192.168.1.0/24 network to OpenVINO consumer application pod, create the following specification file for this Network Policy:
apiVersion: networking.k8s.io/v1 kind: NetworkPolicy metadata: name: openvino-policy namespace: default spec: podSelector: matchLabels: name: openvino-cons-app policyTypes: - Ingress ingress: - from: - ipBlock: cidr: 192.168.1.0/24 ports: - protocol: TCP port: 5000 - protocol: UDP port: 5000
2. Create the Network Policy:
kubectl apply -f network_policy.yml
DNS
DNS service can help “redirect” the external client’s traffic to the edge application service. This gap analysis is to investigate whether OpenNESS DNS can be used for ICN traffic steering or not.
OpenNESS provides DNS server which provides the microsevice’s ip address based on FQDN. OpenNESS extends kubectl utility with kubectl edgedns cmd to set/delete DNS entry. For example,
- define a file with below content: openvino-dns.json
{
"record_type":"A",
"fqdn":"openvino.openness",
"addresses":["10.16.0.10"]
} - Then use below command to add an entry in OpenNESS DNS server:
kubectl edgedns set <edge_node_host_name> openvino-dns.json
Below are implement details of OpenNESS DNS server:
- Run as independent process/container in each Edge Node : ./edgednssvr -port 53 -fwdr=8.8.8.8 -db XXX.db // port: DNS server port; fwdr: forwarder ip used when cannot found FQDN in OpenNESS DNS DB; db: OpenNESS db file
- Provide 2 servers after running:
Control Server: gRPC/IP based API to receive DNS record add/remove request – OpenNESS controller can call this interface to add DNS record
DNS server: DNS service is based on https://github.com/miekg/dns - DNS process flow: After get a DNS request, it will try to find the FQDN in local OpenNESS DNS db first, if not found, forward the request to an external forwarder (default is 8.8.8.8, set by “-fwdr“ parameter)
The OpenNESS DNS service is different from K8s’ CoreDNS to support different usages:
- CoreDNS: provides DNS service within K8s cluster, e.g. from app in container to find the service also running in container of the same cluster.
- OpenNESS DNS: provides DNS service for app of external host which is not running in the edge cluster to find a app (which may not be a K8s service, so its ip may not be recorded in coreDNS) in k8s cluster. e.g. in OpenNESS OpenVINO demo, the video stream generator is running in a separate host, admin needs manually (add a new name server in /etc/resolv.conf) set it’s DNS server IP to point to OpenNESS edge node DNS server then it can know how to send the stream.
Cross-Node communication
Edge apps can be divided into producer and consumer. This gap analysis is to investigate the communication between the producers and consumers which are on different edge nodes.
Edge applications must introduce themselves to OpenNESS framework and identify if they would like to activate new edge services or consume an existing service. Edge Application Agent (EAA) component is the handler of all the edge applications hosted by the OpenNESS edge node and acts as their point-of-contact.
OpenNESS-awareness involves (a) authentication, (b) service activation/deactivation, (c) service discovery, (d) service subscription, and (e) Websocket connection establishment. The Websocket connection retains a channel for EAA for notification forwarding to pre-subscribed consumer applications. Notifications are generated by "producer" edge applications and absorbed by "consumer" edge applications.
The sequence of operations for the producer application:
- Authenticate with OpenNESS edge node
- Activate new service and include the list of notifications involved
- Send notifications to OpenNESS edge node according to business logic
The sequence of operations for the consumer application:
- Authenticate with OpenNESS edge node
- Discover the available services on OpenNESS edge platform
- Subscribe to services of interest and listen for notifications
Edge apps will access eaa through eaa.openness (name.namespace) which is a kubernetes service:
https://github.com/open-ness/edgecontroller/blob/master/kube-ovn/openness.yaml#L18
For example: as following links show, openvino consumer will access http://eaa.openness:443/auth for authentication.
https://github.com/open-ness/edgeapps/blob/master/openvino/consumer/cmd/main.go#L24
https://github.com/open-ness/edgeapps/blob/master/openvino/consumer/cmd/main.go#L66
eaa is deployed as a deployment and only 1 eaa will be deployed:
https://github.com/open-ness/edgecontroller/blob/master/kube-ovn/openness.yaml#L41
Because all edge apps will access only 1 eaa, it doesn't matter that eaa is stateful.
For example:
only 1 eaa is deployed on node1. producer1 and producer2 will activate the new service with eaa. consumer1 and consumer2 will consume services stored in eaa. Because all the information are stored in only 1 eaa, there won't be issues.
node1 node2
eaa
producer1 consumer1 producer2 consumer2
Because edge apps on different edge node all can access service eaa, the consumer can consume the service provided by producer which is on a different node.
For example:
producer1 is located in node1 and consumer2 is located on node2. The networking flow will be:
producer1 -> service eaa -> pod eaa
consumer2 -> service eaa -> pod eaa
node1 node2
eaa
producer1 consumer2
OS (Ubuntu)
OpenNESS only supports Centos but ICN is based on Ubuntu 18.04. This gap analysis is to investigate how to deploy OpenNESS on Ubuntu 18.04
OpenNESS only supports Centos but ICN is based on Ubuntu 18.04. By changing the ansible scripts of OpenNESS, it is able to deploy OpenNESS on Ubuntu 18.04. The following parts of ansible scripts need to change:
1. Following ansible roles can be removed for OpenNESS master: grub, cnca, multus, nfd. Ansible role grub can be removed for OpenNESS node. Because:
- grub is used to add hugepages to grub and hugepages are not useful for integration OpenNESS with ICN.
- cnca is not required for integration.
- multus has already been integrated with ICN.
- nfd will be integrated directly with ICN.
2. Centos uses yum to install packages and we need to use apt for Ubuntu.
3. Some packages which will be installed by ansible scripts should be removed or replaced:
- Some Centos packages doesn't exist on Ubuntu and these packages should be removed. For example, yum-utils, device-mapper-persistent-data.
- Some Centos packages' name are different for Ubuntu. For example, python2-pip should be replaced with python-pip, python-devel should be replaced with python-dev.
4. Selinux is not used on Ubuntu and need to remove the ansible scripts configuring selinux.
5. Epel repository is for Centos and Ubuntu doesn't need this repository.
6. Proxy will be set for yum and need to change the scripts to set proxy for apt.
7. Docker installation for Centos and Ubuntu are different. Need to change the scripts following the installation guide. For example: the docker repository is different for Centos and Ubuntu.
8. Auditd is used for Docker. Auditd is delivered with Centos by default but Ubuntu needs to install auditd.
9. Kubernetes installation for Centos and Ubuntu are different. Need to change the scripts following the installation guide. For example: gpg key is different for Centos and Ubuntu, ubuntu use deb and Centos uses repository.
10. cgroups driver is different for Centos (systemd) and Ubuntu (cgroups). By default, cgroups driver is cgroups and need to remove the ansible scripts which configures cgroups driver to systemd.
11. firewalld is used in Centos and need to change to ufw which is used by Ubuntu.
12. Packages are different for installing openvswitch and ovn. Centos uses RPMs. Ubuntu uses openvswitch-switch, ovn-common, ovn-central and ovn-host.
13. Topology manager and CPU manager is configured for edge node's kubelet. No need to use topology manager and can remove these.
Openness Integration Design
Openness Microserivces
We are planning to integrate Openness Infrastructure mode. The following figure shows the microservices of Openness infrastructure mode and also lists the microserivces that we propose to integrate.
Microservices of Openness Infrastructure mode | Description | Deployment method | Deployment of the component | Propose to integrate |
---|---|---|---|---|
eaa | application/service registration, authentication etc | deployment | edge node | yes |
edgedns | for client to access microservices in edge node | daemonset (propose to change to deployment) | edge node | yes |
interfaceservice | similar with providernet implemented in ovn4nfv-k8s-plugin | daemonset | edge node | no, will use ovn4nfv-k8s-plugin's provider network |
cnca | Core Network Configuration: Configure the access network (e.g., LTE/CUPS, 5G) control plane | deployment | controller | no |
syslog | log service for openness | daemonset | controller & edge node | no |
multus | enabling attaching multiple network interfaces to pods | daemonset | controller & edge node | Already covered by ONAP4K8s - KUD |
nfd | node feature discovery | daemonset | controller & edge node | Already covered by ONAP4K8s - KUD |
sriov | sriov network device plugin & sriov cni | daemonset | controller & edge node | Already covered by ONAP4K8s - KUD |
topology manager | kubernetes topology manager | Kubelet component | controller & edge node | Work in Progress to upgrade the K8s v16.0 integrate into ONAP4K8s - KUD |
CMK | CPU Manager | part of kubelet | controller & edge node | Work in Progress - Integrate into ONAP4K8s - KUD |
bios | Used for change BIOS and firmware configuration: CPU configuration, Cache and Memory configuration, PCIe Configuration, Power and Performance configuration, etc | privileged Pod | controller & edge node | Required for ICN? Already in ICN Metal3, could be enabled part of it |
fpga | Open Programmable Acceleration Engine (OPAE) package consisting of a kernel driver and user space FPGA utils package that enables programming of the FPGA is used. sriov is used to configure the FPGA resources such as Virtual Functions and queues | pod | controller & edge node | Need to integrate into ONAP4K8s - KUD with FPGA device |
Openness integration for Multus, SR-IOV CNI, SR-IOV Network Device Plugin, FPGA, Bios, Topology Manager, CMK, NFD
Microservice | Integration Detail | Components | Testing | Dependency | Request to openness team | Propose to integrate |
multus | Version 3.3 And then run the following command to kustomize the yml file and then apply. Command kustomize will add parameter: “--rename-conf-file=true” to the daemonset yml file like following: This parameter will add suffix “.old” to the original cni conf file. For example, “.old” is added to the kube-ovn conf file as below: [1]https://github.com/open-ness/openness-experience-kits/blob/master/roles/multus/files/kustomization.yml | multus running as daemonset | Not found | Nothing | Test cases are missing and need to ask where the test cases are. | No |
sriov cni | git clone https://github.com/intel/sriov-cni [1]https://github.com/intel/sriov-cni/blob/master/images/k8s-v1.16/sriov-cni-daemonset.yaml | sriov cni running as daemonset | Not found | SR-IOV enabled NIC | Test cases are missing and need to ask where the test cases are. | No |
sriov network device plugin | git clone https://github.com/intel/sriov-network-device-plugin if fpga_sriov_userspace.enabled: make image if fpga_sriov_userspace.enabled: kubectl create -f ./deployments/k8s-v1.16/sriovdp-daemonset.yaml[4] Provide ansible scripts to create VF and bind igb_uio driver. If FPGA is used, fpga_sriov_userspace.enabled should be set to true. Then FPGA_SRIOV_USERSPACE_DEV_PLUGIN.patch will be patched to sriov network device plugin. This patch enables sriov network device plugin to control fpga devices which are bounded to userspace driver. Fpga_configMap will be applied and this configmap will create resource intel_fec_5g and intel_fec_lte which is based on fpga device by specifying vendor_id, device_id and driver. [1]https://github.com/open-ness/edgecontroller/blob/master/fpga/FPGA_SRIOV_USERSPACE_DEV_PLUGIN.patch | sriov network device plugin running as daemonset | Not found | SR-IOV enabled device | Test cases are missing and need to ask where the test cases are. | Yes |
fpga | bbdev_config_service, n3000-1-3-5-beta-rte-setup.zip, n3000-1-3-5-beta-cfg-2x2x25g-setup.zip, flexran-dpdk-bbdev-v19-10.patch, FPGA image for 5GNR vRAN are not available and need to ask openness team. fpga_sriov_userspace.enabled should be set to true. On master node, build the kubectl plugin rsu (Remote System Update) and move the binary file to directory the /usr/bin/. This plugin will create kubernetes jobs and run OPAE in those jobs. OPAE(Open Programmable Acceleration Engine) enables programming of the FPGA and is used to program the FPGA factory image or the user image (5GN FEC vRAN). The plugin also allows for obtaining basic FPGA telemetry such as temperature, power usage and FPGA image information. On worker node, using n3000-1-3-5-beta-rte-setup.zip (can be used to install OPAE), n3000-1-3-5-beta-cfg-2x2x25g-setup.zip to build docker image ‘fpga-opae-pacn3000:1.0’. OPAE will be installed in this docker image. RSU will create a kubernetes job which uses image ‘fpga-opae-pacn3000:1.0’ as below: User FPGA images will be put in the directory /temp/vran_images/. To configure the VFs with the necessary number of queues for the vRAN workload the BBDEV configuration utility is to be run as a job within a privileged container. A sample pod requesting the FPGA (FEC) VF may look like this: [1]https://github.com/open-ness/edgecontroller/blob/master/fpga/fpga-sample-configmap.yaml | kubectl plugin rsu | Not found | Intel® FPGA Programmable Acceleration Card (Intel FPGA PAC) N3000, | 1. Test cases are missing and need to ask where the test cases are. 2.bbdev_config_service, n3000-1-3-5-beta-rte-setup.zip, n3000-1-3-5-beta-cfg-2x2x25g-setup.zip, flexran-dpdk-bbdev-v19-10.patch are not available. Need to request these packages. 3. FPGA image for 5GNR vRAN is not available. Need to request this image. 4.What’s the difference between flexran and vran | Yes |
bios | On master node, build the kubectl plugin biosfw and move the binary file to directory the /usr/bin/. This plugin will create a kubernetes job and run syscfg in that job. Intel® System Configuration Utility (Syscfg) is a command-line utility that can be used to save and restore BIOS and firmware settings to a file or to set and display individual settings. On worker node, using syscfg_package.zip to build docker image ‘openness-biosfw’. Syscfg will be upzipped in this docker image. The kubernetes job created by kubectl plugin biosfw will use this image ‘openness-biosfw’ as below: | Kubectl plugin biosfw | Not found | certain Intel® Server platforms | 1.Test cases are missing and need to ask where the test cases are. 2. Ask the server version, motherboard version, bios version for testing epa feature bios? | Yes |
topology manager | Configure kubelet on the worker node as below: apiVersion: kubelet.config.k8s.io/v1beta1 | Kubelet component | Not found | K8s 1.16 | Test cases are missing and need to ask where the test cases are. | No |
CMK | Download the following files: Copy following files to the same directory as cmk-namespace.yaml, cmk-serviceaccount.yaml, cmk-rbac-rules.yaml and cmk-cluster-init-pod.yaml: Run the following command: On each worker node, clone the project https://github.com/intel/CPU-Manager-for-Kubernetes and then checkout the commit e3df769521558cff7734c568ac5d3882d4f41af9. Using command ‘make’ to build the docker image. [1]https://raw.githubusercontent.com/intel/CPU-Manager-for-Kubernetes/e3df769521558cff7734c568ac5d3882d4f41af9/resources/authorization/cmk-namespace.yaml | Not found | Nothing | Test cases are missing and need to ask where the test cases are. | No | |
nfd | version: v0.4.0 Download the following files: Run the following command to kustomize the files (nfd-master.yaml and nfd-worker-daemonset.yaml): Apply below network policy to allow the communication between nfd-master and nfd-worker: [1]https://raw.githubusercontent.com/kubernetes-sigs/node-feature-discovery/v0.4.0/nfd-master.yaml.template | nfd-master running as daemonset on kubernetes master node nfd-worker running as daemonset | Not found | Nothing | Test cases are missing and need to ask where the test cases are. | No |
Openness integration test plan for Multus, SR-IOV CNI, SR-IOV Network Device Plugin, Topology Manager, CMK, NFD
Microservice | ICN | OPENNESS | Difference | Next |
MULTUS |
[1]https://github.com/onap/multicloud-k8s/blob/9c63ce2a7b2b66b3e3fce5d1f553f327148df83f/kud/tests/_common.sh#L856 |
Link: |
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SRIOV CNI |
[1]https://github.com/onap/multicloud-k8s/blob/9c63ce2a7b2b66b3e3fce5d1f553f327148df83f/kud/deployment_infra/playbooks/sriov-nad.yml#L1 |
Link: Openness sriov usage: |
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SRIOV NETWORK DEVICE PLUGIN | ||||
NFD | Verify NFD by setting pod.yaml with ’affinity’ field. Link: KUD test script: | Verify NFD by setting pod.yaml with ‘nodeSelector’ field. Link: Openness nfd usage: |
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CMK | NIL Link: CMK official validate solution: Liang’s patch: |
Link: Openness CMK usage: |
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Topology Manager | NIL Link: |
Link: |
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Add more realistic test cases for platform related micro-services
Microservice | Test cases in KUD | Test cases to be added |
Multus |
[1]https://github.com/onap/multicloud-k8s/blob/9c63ce2a7b2b66b3e3fce5d1f553f327148df83f/kud/tests/_common.sh#L856 |
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SR-IOV CNI |
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SR-IOV Network Device Plugin | ||
NFD |
[1]https://github.com/onap/multicloud-k8s/blob/master/kud/tests/nfd.sh#L27 |
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CMK | nil | It's going to be added the patch below: |
Task List
- Create Ansible scripts to create building environment, build microservices' docker images and push them to docker repository
- Create helm charts to run microservice in ONAP4K8s
Application
- TBD
ICN Requirements for adding EAA support for geo-distributed producing and consuming applications
BACKGROUND
Cloud native applications usually use microservice architecture. It means the application will contain multiple micro-serivces like Figure 1. This application consists of four micro-services (μs1, μs2, μs3, μs4). And μs1 communicates with μs2, μs2 communicates with μs3 and μs3 communicates with μs4. μs1 is an user facing micro-service. μs1 and μs2 are expected to be deployed together. μs2 is stateful and hence needs to communicate with other μs2.
Figure 1 Centralized Application
When it comes to edge computing, some micro-services will be deployed on the edge clouds and some micro-services will be deployed on the central cloud like Figure 2. μs1 and μs2 are deployed on the edge cloud. μs3 and μs4 are deployed on the central cloud. Thus the application for edge computing is geo-distributed in nature.
Figure 2. Distributed Application
ICN (which includes EMCO – formerly ONAP4K8s) is to show multiple clusters as one as far as the application life cycle is concerned as applications are becoming geo-distributed. In EMCO, we have a concept called ‘Logical Cluster” which is an abstracted cluster across multiple K8s clusters as Figure 3.
Figure 3 Logical Cluster
REQUIREMENT
EAA provides application/service registration and authentication in openness. For now eaa only supports single cluster applications and doesn’t support geo-distributed, multi-cluster applications which are typically edge applications. To support geo-distributed applications, eaa needs to support application/service registration and authentication on different edge clouds which are kubernetes clusters in network edge. For example,
- If creating one EAA for every tenant (logical cluster): micro-services on different edge clouds which are kubernetes clusters should be able to communicate with each other by registering the services to the EAA and consuming the services from the EAA on different edge clouds. For example: μs2 is stateful and needs to communicate with other μs2 on different edge clouds to synchronize the states.
- If creating one EAA for every kubernetes cluster: Docker image for EAA is signed by the root CA of the kubernetes cluster where EAA will be deployed as below:
https://github.com/open-ness/edgenode/blob/master/docker-compose.yml#L77
This will cause the certs of EAAs on different edge clouds to be on different certificate chains because different EAAs’ certs are signed by different kubernetes clusters’ root CAs. What’s more, producing application and consuming application will get certs from EAA and those certs are signed by EAA’s cert. And this will cause the producing application and consuming application on different edge cloud can’t communicate with each other because their certs are on different certificate chains. To solve this issue, the certs of EAAs should be signed by the same orchestrator. For example, ICN DCM (Distributed Cloud Manager) can take this role:
https://wiki.onap.org/pages/viewpage.action?pageId=76875956
And EAA should support mounting the certs when it will be deployed and not mount the certs during building docker image.