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Kubernetes Native Infrastructure and
Operator Framework for 5G Edge Cloud Computing
Hyde Sugiyama - Chief Architect, Red Hat K.K.
OpenShift/K8s on OpenStack NFV session@OSS2018
OpenShift on OpenStack NFV
B2B2X for SoE apps in OpenShift
(in VM) on top of DCN(NFVI)
2
Innovation
4G 5GAll IP packet
Multiaccess
Edge
Computing
5GC
Cloud native/Service Based Archtecture
CP and UPF separation
Network slicing
UPF offload (FPGA, Edge Switch Fabric)
vRAN CU-DU split
Network
Function
Virtualization
Carrier
Grade
Linux
DPDK(vCPU)
GPU
FPGA
Heterogeneous Computing
Data Lake /Data Hub
Autonomous micro edge cloud …. Local 5G
Distribute
Compute
Node
VNF CNF
Edge AI platform(Intelligent Edge)
3
VNF
Container
Container
CNF
NFV Evolution to Kubernetes
Y2018-2019
VNF Container
K8s/OCP
Bare Metal
VNF
CNF
Bare Metal
VNF
CNF
Bare Metal
OpenStack K8s/OCP4OpenStack K8s/OCP4OpenStack
VNF
Kubevirt
70 30 50 50 30 70
(IT SoE apps
Y2019-2020 Y2020-2021
Container
(Stateless & Stateful
OCP4: OpenShift Container Platform 4
Data Lake Data Lake Data Lake
SoE: System of Engagement
HypervisorHypervisor Hypervisor
4
Agenda
5
• OpenShift/K8s on BM and Operator Framework for CNF
• KNI for 5G core service based architecture
• KNI for 5G radio access network
• KNI (Kubernetes Native Infrastructure) for 5G edge
• Summary
6
OpenShift/k8s on BM
deployment and
Operator Framework for CNF
Kubernetes Operators
7
Operator Maturity Model
● Automate Day 2 lifecycle
management of container
applications in Kubernetes
● Leverage CRDs to deploy
Kubernetes native services
that can access Kube API
events
● Operator SDK simplifies
creation of Operators in Go
(or leverage Helm or Ansible
automation)
APPLICATIONS AND SERVICES
ISV/3rd party Operators
Custom Operators (built w/Operator SDK)
PLATFORM AND CLUSTER MANAGEMENT
Automated updates for Kubernetes,
monitoring, security, registry and more
LINUX HOST
Over-the-air updates for Red Hat CoreOS
ANY INFRASTRUCTURE
Full-Stack Automated Operations in OpenShift
8
Possibility for NFV architecture change by adapting
Kubernetes Operator (OpenShift Operator framework)
= Hypervisor=
NFVI (host OS)
OSS/BSS
BM(s)
OpenShift Worker
(host OS)
OSS/BSS
BM(s)
VNF CNF
VNF-M
VIM
NFVO
OpenShift
Master
=VM=
VNF+
guest
OS
=Pod=
CNF
( ... )
=Pod=
(for
UDM)
=Pod=
( for
SMF)
API management
=VM=
VNF+
guest
OS
=VM=
VNF+
guest
OS
CNF-M CNF-M CNF-M
Cluster Operator
9
5GC: Session Management Function Unified Data Management
10
5GC Service Based
Architecture on Kubernetes
5GC system architecture
Network
Slice
Selection
Function
Access &
Mobility mgmnt
Function
User
Plane
Function
AUthentication
Server
Function
Policy
Control
Function
Unified
Data
Management
Session
Management
Function
Data Network
Data
Network
Packet
Forwarding
Control
Protocol
11
SBI
5G SBI and Service Mesh
OPENSHIFT SERVICE MESH
● A dedicated network for service to
service communications
● Observability and distributed tracing
● Policy-driven security
● Routing rules & chaos engineering
● Powerful visualization & monitoring
● Will be available via OperatorHub
12
KIALI ( GUI for Istio )
Service Mesh & 5GC SBA(Service-Based Architecture)
5GC(core)
Istio
service
mesh
GPU device plugin, DPDK, FPGA,
Serverless, Data lake, etc
MULTUS CNI setup,
Stateful management,
CNF LCM, K8s LCM,
etc
User Equipment
AUthentication
Server
Function
Network
Slice
Selection
Function
Unified
Data
Management
Policy
Control
Function
Access &
Mobility mgmnt
Function
Session
Management
Function
13
(edge)
5G UPF and Network Slicing in Cloud edge fabric for
B2B2X workloads and etc
Slice 1 for
B2B2X workloads 1
: SMF1 & UPF1
Multi cluster for istio
service mesh might be
needed
14
UE
Slice 2 for
B2B2X workloads 2
: SMF2 & UPF2
https://www.pilab.jp/ipop2
019/exhibition/WhitePaper
_iPOP2019.pdf
**
*
**
* *
https://www.youtube.com/
watch?v=1X5U4Jo0Jlw
15
O-RAN alliance &
RAN Cloudification w/
Kubernetes
3GPP &
O-RAN alliance
E2 :btw RIC near-RT and O-CU/O-DU
A1
CU-UP
SDAP
PDCP-U
CU-CP
RRC
PDCP-C
E1Multi-RAT
O-CU Protocol
Stack
F1
Open Front Haul
Orchestration & Automation (e.g. ONAP): MANO, NMS
O-DU: RLC/MAC/PHY-high
O-RU: PHY-low/RF
NFVI Platform: Virtualization layer and COTS platform
Design Inventory Policy Configuration RAN Intelligent Controller (RIC)non-RT
E
2
Radio-Network Information Base
Applications
Layer Radio Connection
Mgmt
Mobility
Mgmt
QoS
Mgmt.
Interference
Mgmt
3rd party
APP
Trained
Model
RAN Intelligent Controller (RIC) near-RT3GPP (e/g)NB
3GPP CU
3GPP DU
Our focus
OpenStack,
OpenShift/k8s
16
Decoupling of software from hardware for all RAN modules in all splits
S/W
H/W
NFVI stack (containers or VMs), OS, cloud m-plane
O-CU O-DU O-RU
Centralized CU/DU
(C-RAN)
CU/DU split Distributed
CU/DU
(D-RAN)
Blackbox
BBU
Multitude of deployment
models: CloudRAN,
CU-DU split,
dRAN on whitebox or DC
All RAN modules
H/W abstraction layer
Flexible
Orch.
Inventory,
Discovery,
Registration
Policy,
Metrics
Support 10,000s
of distributed
cloud sites
Heterogeneous
computing
Common
LCM
mechanisms
O-RAN alliance WG6
17
O-RU
Open fronthaul
Near-RT
RIC
Open chassis and blade spec
NFVI
Cell site
1:m, local
Regional cloud
vO-DU
NFVI
Cell site area
O-DU chassis at cell site
F1
1:N, remote
vO-CU
The O-DU functionality can be pooled
from multiple O-RUs, and meet O-DU
latency requirements.
Near-RT RIC can serve a very large
number of O-RUs, and O-CU is very
centralized.
Scenario C: Centralized vO-CU with distributed vO-DU
K8s or OpenStack
Scenario B: Distributed vO-CU and vO-DU
O-RUOpen fronthaul
Near-RT
RIC
Open chassis and blade spec
NFVI Cell site
1:m, local
Regional cloud
vBBU
vO-CU +
vO-DU
NFVI
Cell site area
BBU chassis at cell site
E2
1:N, remote
To UPF
& MEC
The O-CU/O-DU functionality can be
pooled from multiple O-RUs, and meet
O-DU latency requirements.
Near-RT RIC can serve a very large
number of O-RUs
K8s or OpenStack
18
To UPF
& MEC
Candidate WG6 Scenarios B,C
19
KNI Edge
Kubernetes
Native
Infrastructure
for Edge
OpenShift/OKDOpenShift/OKD
Akraino Edge Stack project
KNI-Edge Blueprints (in Progress)
Provider Access Edge (PAE)
Optimized for real-time and
networking performance for
Containerized vRAN and MEC workloads.
Industrial Edge (IE)
Optimized for small footprint and
low-latency for IoT, serverless, and
machine learning workloads.
CoreOS and CentOS-rtNOS
...
Kubeflow
ML Apps
kNative EdgeX
IoT AppsSrv-less
Apps
OVN/OVS Ceph CRI-O
Prometheus
+ exporters
CoreOS and CentOS-rtNOS
...
Cluster/
Machine
Operator
KubeflowKubeVirt
VMN...VM1vRAN
(RIC)
ML Apps
Tungsten Ceph CRI-O
Prometheus
+ exporters
MEC MW
MEC Apps
https://wiki.akraino.org/display/AK/Kubernetes-Native+Infrastructure+%28KNI%29+Blueprint+Family
switch COTS COTS COTSswitch COTS COTS COTS
URLLC
Apps
20
Cluster/
Machine
Operator
IoT Apps - Eclipse IoT project
21
DATA MANAGEMENT & ANALYTICS
IoT
EDGE
CONNECTE
D “THINGS”
Telemetry
Management
IoT
INTEGRATION HUB
Machine learning model
APPLICATION DEVELOPMENT,
DELIVERY, & INTEGRATION
Telemetry
Management
App
integration
Edge
analytics
Machine
learning
Telemetry
CLOUDERA’S DISTRIBUTION
INCLUDING HADOOP (CDH)
ML Apps - OPEN DATA HUB
Collaborate on a Data & AI platform for the Edge Cloud & Core
A collection of open source
and cloud components
packaged in a “machine
learning-as-a-service”
platform to solve business
problems.
22
OPEN DATA HUB
AI as a Service
OpenShift reference
architecture
GPUOpen Data Hub Operator
https://opendatahub.io/news/2019-04-
29/project-road-map-for-2019.html
24
Red Hat OpenShift Hybrid Serverless
Red Hat OpenShift Knative
Function as a Service
The leading enterprise Kubernetes
platform
Automated Operations
Build an run anywhere (Hybrid Cloud)
Developer experience
APIs, CLI, service binding
Events Build Serving
Building blocks for serverless
Source-centric and container-based
Red Hat Enterprise Linux or Red Hat CoreOS
Kubernetes
Automated
Operations
Hybrid Install / Ops
Ops & Dev Consoles
Install / Upgrade
Security / Auth
Network / CNI
Storage / CSI
Istio
Operator Framework
RH MW Services
(Operator backed)
3rd party Services
(Operator backed)
ODO CLI Eclipse Che
Invoker Runtime CLI API
https://github.com/knative/eventing-sources
Serverless IoT Sensor
EDGE
Java
Java
Python
Java JavaScript
(NodeJS)
Java
PublicPrivate Hybrid
Reports
Archiving
APIIoT
Gateway
25
26
Summary
Summary
27
Kubernetes Native Infrastructure on Bare metal across
Telco Core and Telco Edge
a. Operator Framework for Site Reliability Engineering and
Provider extension
i. Autonomous micro-cloud at Telco edge
ii. Digital Service Provider driven CNF apps management
b. Service mesh for 5GC SBA
c. UPF and Network slicing
d. O-RAN CU/DU cloudification
e. KNI for edge
i. ML as a Service and Open Data Hub at Telco node
ii. Challenge for Serverless at Telco edge node
Reference
28
● https://github.com/operator-framework/getting-started
● https://github.com/operator-framework/community-operators
● https://commons.openshift.org/sig/operators.html
● #kubernetes-operators on the kubernetes slack
● https://groups.google.com/forum/#!forum/operator-framework
Thank you!
29
hyde@redhat.com

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Kubernetes Native Infrastructure and CoreOS Operator Framework for 5G Edge Cloud Computing

  • 1. Kubernetes Native Infrastructure and Operator Framework for 5G Edge Cloud Computing Hyde Sugiyama - Chief Architect, Red Hat K.K.
  • 2. OpenShift/K8s on OpenStack NFV session@OSS2018 OpenShift on OpenStack NFV B2B2X for SoE apps in OpenShift (in VM) on top of DCN(NFVI) 2
  • 3. Innovation 4G 5GAll IP packet Multiaccess Edge Computing 5GC Cloud native/Service Based Archtecture CP and UPF separation Network slicing UPF offload (FPGA, Edge Switch Fabric) vRAN CU-DU split Network Function Virtualization Carrier Grade Linux DPDK(vCPU) GPU FPGA Heterogeneous Computing Data Lake /Data Hub Autonomous micro edge cloud …. Local 5G Distribute Compute Node VNF CNF Edge AI platform(Intelligent Edge) 3
  • 4. VNF Container Container CNF NFV Evolution to Kubernetes Y2018-2019 VNF Container K8s/OCP Bare Metal VNF CNF Bare Metal VNF CNF Bare Metal OpenStack K8s/OCP4OpenStack K8s/OCP4OpenStack VNF Kubevirt 70 30 50 50 30 70 (IT SoE apps Y2019-2020 Y2020-2021 Container (Stateless & Stateful OCP4: OpenShift Container Platform 4 Data Lake Data Lake Data Lake SoE: System of Engagement HypervisorHypervisor Hypervisor 4
  • 5. Agenda 5 • OpenShift/K8s on BM and Operator Framework for CNF • KNI for 5G core service based architecture • KNI for 5G radio access network • KNI (Kubernetes Native Infrastructure) for 5G edge • Summary
  • 6. 6 OpenShift/k8s on BM deployment and Operator Framework for CNF
  • 7. Kubernetes Operators 7 Operator Maturity Model ● Automate Day 2 lifecycle management of container applications in Kubernetes ● Leverage CRDs to deploy Kubernetes native services that can access Kube API events ● Operator SDK simplifies creation of Operators in Go (or leverage Helm or Ansible automation)
  • 8. APPLICATIONS AND SERVICES ISV/3rd party Operators Custom Operators (built w/Operator SDK) PLATFORM AND CLUSTER MANAGEMENT Automated updates for Kubernetes, monitoring, security, registry and more LINUX HOST Over-the-air updates for Red Hat CoreOS ANY INFRASTRUCTURE Full-Stack Automated Operations in OpenShift 8
  • 9. Possibility for NFV architecture change by adapting Kubernetes Operator (OpenShift Operator framework) = Hypervisor= NFVI (host OS) OSS/BSS BM(s) OpenShift Worker (host OS) OSS/BSS BM(s) VNF CNF VNF-M VIM NFVO OpenShift Master =VM= VNF+ guest OS =Pod= CNF ( ... ) =Pod= (for UDM) =Pod= ( for SMF) API management =VM= VNF+ guest OS =VM= VNF+ guest OS CNF-M CNF-M CNF-M Cluster Operator 9 5GC: Session Management Function Unified Data Management
  • 11. 5GC system architecture Network Slice Selection Function Access & Mobility mgmnt Function User Plane Function AUthentication Server Function Policy Control Function Unified Data Management Session Management Function Data Network Data Network Packet Forwarding Control Protocol 11 SBI
  • 12. 5G SBI and Service Mesh OPENSHIFT SERVICE MESH ● A dedicated network for service to service communications ● Observability and distributed tracing ● Policy-driven security ● Routing rules & chaos engineering ● Powerful visualization & monitoring ● Will be available via OperatorHub 12 KIALI ( GUI for Istio )
  • 13. Service Mesh & 5GC SBA(Service-Based Architecture) 5GC(core) Istio service mesh GPU device plugin, DPDK, FPGA, Serverless, Data lake, etc MULTUS CNI setup, Stateful management, CNF LCM, K8s LCM, etc User Equipment AUthentication Server Function Network Slice Selection Function Unified Data Management Policy Control Function Access & Mobility mgmnt Function Session Management Function 13 (edge)
  • 14. 5G UPF and Network Slicing in Cloud edge fabric for B2B2X workloads and etc Slice 1 for B2B2X workloads 1 : SMF1 & UPF1 Multi cluster for istio service mesh might be needed 14 UE Slice 2 for B2B2X workloads 2 : SMF2 & UPF2 https://www.pilab.jp/ipop2 019/exhibition/WhitePaper _iPOP2019.pdf ** * ** * * https://www.youtube.com/ watch?v=1X5U4Jo0Jlw
  • 15. 15 O-RAN alliance & RAN Cloudification w/ Kubernetes
  • 16. 3GPP & O-RAN alliance E2 :btw RIC near-RT and O-CU/O-DU A1 CU-UP SDAP PDCP-U CU-CP RRC PDCP-C E1Multi-RAT O-CU Protocol Stack F1 Open Front Haul Orchestration & Automation (e.g. ONAP): MANO, NMS O-DU: RLC/MAC/PHY-high O-RU: PHY-low/RF NFVI Platform: Virtualization layer and COTS platform Design Inventory Policy Configuration RAN Intelligent Controller (RIC)non-RT E 2 Radio-Network Information Base Applications Layer Radio Connection Mgmt Mobility Mgmt QoS Mgmt. Interference Mgmt 3rd party APP Trained Model RAN Intelligent Controller (RIC) near-RT3GPP (e/g)NB 3GPP CU 3GPP DU Our focus OpenStack, OpenShift/k8s 16
  • 17. Decoupling of software from hardware for all RAN modules in all splits S/W H/W NFVI stack (containers or VMs), OS, cloud m-plane O-CU O-DU O-RU Centralized CU/DU (C-RAN) CU/DU split Distributed CU/DU (D-RAN) Blackbox BBU Multitude of deployment models: CloudRAN, CU-DU split, dRAN on whitebox or DC All RAN modules H/W abstraction layer Flexible Orch. Inventory, Discovery, Registration Policy, Metrics Support 10,000s of distributed cloud sites Heterogeneous computing Common LCM mechanisms O-RAN alliance WG6 17
  • 18. O-RU Open fronthaul Near-RT RIC Open chassis and blade spec NFVI Cell site 1:m, local Regional cloud vO-DU NFVI Cell site area O-DU chassis at cell site F1 1:N, remote vO-CU The O-DU functionality can be pooled from multiple O-RUs, and meet O-DU latency requirements. Near-RT RIC can serve a very large number of O-RUs, and O-CU is very centralized. Scenario C: Centralized vO-CU with distributed vO-DU K8s or OpenStack Scenario B: Distributed vO-CU and vO-DU O-RUOpen fronthaul Near-RT RIC Open chassis and blade spec NFVI Cell site 1:m, local Regional cloud vBBU vO-CU + vO-DU NFVI Cell site area BBU chassis at cell site E2 1:N, remote To UPF & MEC The O-CU/O-DU functionality can be pooled from multiple O-RUs, and meet O-DU latency requirements. Near-RT RIC can serve a very large number of O-RUs K8s or OpenStack 18 To UPF & MEC Candidate WG6 Scenarios B,C
  • 20. OpenShift/OKDOpenShift/OKD Akraino Edge Stack project KNI-Edge Blueprints (in Progress) Provider Access Edge (PAE) Optimized for real-time and networking performance for Containerized vRAN and MEC workloads. Industrial Edge (IE) Optimized for small footprint and low-latency for IoT, serverless, and machine learning workloads. CoreOS and CentOS-rtNOS ... Kubeflow ML Apps kNative EdgeX IoT AppsSrv-less Apps OVN/OVS Ceph CRI-O Prometheus + exporters CoreOS and CentOS-rtNOS ... Cluster/ Machine Operator KubeflowKubeVirt VMN...VM1vRAN (RIC) ML Apps Tungsten Ceph CRI-O Prometheus + exporters MEC MW MEC Apps https://wiki.akraino.org/display/AK/Kubernetes-Native+Infrastructure+%28KNI%29+Blueprint+Family switch COTS COTS COTSswitch COTS COTS COTS URLLC Apps 20 Cluster/ Machine Operator
  • 21. IoT Apps - Eclipse IoT project 21 DATA MANAGEMENT & ANALYTICS IoT EDGE CONNECTE D “THINGS” Telemetry Management IoT INTEGRATION HUB Machine learning model APPLICATION DEVELOPMENT, DELIVERY, & INTEGRATION Telemetry Management App integration Edge analytics Machine learning Telemetry CLOUDERA’S DISTRIBUTION INCLUDING HADOOP (CDH)
  • 22. ML Apps - OPEN DATA HUB Collaborate on a Data & AI platform for the Edge Cloud & Core A collection of open source and cloud components packaged in a “machine learning-as-a-service” platform to solve business problems. 22
  • 23. OPEN DATA HUB AI as a Service OpenShift reference architecture GPUOpen Data Hub Operator https://opendatahub.io/news/2019-04- 29/project-road-map-for-2019.html
  • 24. 24 Red Hat OpenShift Hybrid Serverless Red Hat OpenShift Knative Function as a Service The leading enterprise Kubernetes platform Automated Operations Build an run anywhere (Hybrid Cloud) Developer experience APIs, CLI, service binding Events Build Serving Building blocks for serverless Source-centric and container-based Red Hat Enterprise Linux or Red Hat CoreOS Kubernetes Automated Operations Hybrid Install / Ops Ops & Dev Consoles Install / Upgrade Security / Auth Network / CNI Storage / CSI Istio Operator Framework RH MW Services (Operator backed) 3rd party Services (Operator backed) ODO CLI Eclipse Che Invoker Runtime CLI API https://github.com/knative/eventing-sources
  • 25. Serverless IoT Sensor EDGE Java Java Python Java JavaScript (NodeJS) Java PublicPrivate Hybrid Reports Archiving APIIoT Gateway 25
  • 27. Summary 27 Kubernetes Native Infrastructure on Bare metal across Telco Core and Telco Edge a. Operator Framework for Site Reliability Engineering and Provider extension i. Autonomous micro-cloud at Telco edge ii. Digital Service Provider driven CNF apps management b. Service mesh for 5GC SBA c. UPF and Network slicing d. O-RAN CU/DU cloudification e. KNI for edge i. ML as a Service and Open Data Hub at Telco node ii. Challenge for Serverless at Telco edge node
  • 28. Reference 28 ● https://github.com/operator-framework/getting-started ● https://github.com/operator-framework/community-operators ● https://commons.openshift.org/sig/operators.html ● #kubernetes-operators on the kubernetes slack ● https://groups.google.com/forum/#!forum/operator-framework