1. How Edge Intelligence Accelerates Network- Compute-Convergence (NCC)
IETF 103 Bangkok
How Edge Intelligence Accelerates Network- Compute-Convergence

2. Edge Cloud vs On-Premise Edge
Where is Edge Computing
Edge Cloud vs On-Premise Edge
Central Cloud
Edge Cloud
On-Premise Edge AP
UE/Terminal DC
Base
Station
Cell Phone
/Pad EC EC EC
UPF
UPF
UPF CU CU CU
Home
Gateway
Back Bone
Metropolitan
Access
Sensor
IoT/IIoT
Gateway
Wearable
Devices
BRAS/BNG
Internet View (AWS, Azure, Alibaba)
Enterprise View (GE, Siemens)
Telecom Service Provider View

3. Heterogeneous Hardware Centralized Deployment Distributed Deployment
What Is Edge Computing
Edge Computing
Widely Distributed
Centralized
&
Distributed
Distributed
On-Premise Edge
Edge Cloud
Centralized
Telco NFV
Public Cloud
Telco reliability
Network Function
Some Edge Deployment
Deterministic
Heterogeneous Hardware
Various I/O
Plug and Play
Cluster
Common Hardware
Centralized Deployment
Distributed Deployment
Customized Hardware
Mini-cluster
IaaS+PaaS+SaaS
IaaS Only
IaaS+PaaS+SaaS

4. NCC-Infrastructure
E2E coverage of network plane with multi-access capability
Network Plane IP
CMNET
Vertical
Industrial
Enterprise
SD-WAN
Residental
Province CR
Metro CR
BRAS
OLT
Splitter
Optical
Province
Backbone
Metro
Core
Metro
Aggre.
Metro
Access
Regional
Backbone
Province
City
County
Aggre. Node
On-Premise
NOW
Computing Plane
Distributed computing plane to enabling edge intelligence
Cloud
Edge ComputingResource
CDN
CDN
Non-time-sensitive
Deterministic
Time-sensitive
Data pre-processing
Heterogeneous access
Province
City
County
Aggre. Node
On-Premise
NOW
FUTURE
计算与连接共生，构建面向全行业、全连接的智能化基础设施

5. Centralized EC management platform Physical Resource Pool
NCC-Virtualization Platform
NFV Zone
EC Zone
NFV-O
Centralized EC management platform
Openstack
agent
K8s agent
Remote
Third party PaaS
Local
VNFM
AWS Greengrass
Alibaba
Link Edge …
Restful API
MEP
Restful API
5G-CU
UPF
CORE API
Exposure Function
Edge
App
Edge
App
RAN API
Exposure Function VM VM VM VM VM VM VM VM VM
CaaS
Local Breakout
NFVI
Container
Container
VIM
DPDK
numa
Network
PIM
Physical Resource Pool
1.只提供机架
2.提供服务器
3.统一IaaS层，统一管理
4.统一PaaS
2.3.4均可通过MEP提供能力开放

6. Updating Eigenvalue Database
NCC-Coordination of computing resource (1/2,an AI example)
Cloud-Edge coordination : Global Intelligence, Local Decision (GILD)
AI algorithm coordination
Training, core of AI algorithm, outputs eigenvalue which cost massive time and resource.
Inference, has match lower computing requirement but highly sensitive to latency.
Cloud Training
Uploading Data
Updating Eigenvalue Database
Global Intelligence
Cloud undertakes computing-aggressive task
Cloud operates training process with data collected by Edge platform, and deliver eigenvalue results back to Edge platform.
Edge Platform
Data Processing
Eigenvalue Database
Data Collection
Controller
Local Decision
Edge platform conduct inference to make a time-sensitive decision.

7. NCC-Coordination of computing (2/2)
Edge computing make it a norm to have widely distributed computing resources.
Standalone Servers (Mostly X86)
Embedded Systems (Mostly Arm)
Backbone
Edge computing make it a norm to heterogeneous computing resource within the network
CPU Pool
GPU Pool
Other ASIC including TPU/NPU
Metro
Access
No single edge cloud/edge node is perfect for all edge services
Network need to be more intelligence on optimizing the route regarding various computing resource requirement.

8. Thank you!