computing power network for mec - itu€¦ · what is computing power ？ 5 the computing power...

Computing Power Network

for MEC

Yunpeng Xie

China Telecom

2019.10.15

Computing changes the world, computing drives the future

2

Micro world Daily life Macro world

Computing is a pivotal driver of the intelligent world

Steam power Electric power Computing power

12 years >> 1 day 1 day >> 7 days 2.2 M >> 13.7 Bn

human whole gene sequencing weather forecast cycle cosmic observation distance(light-years)

MEC will be the focus in future network

MEC solves the problem of long delay and bandwidth

consumption caused by centralized cloud computing and

provides high bandwidth, low latency, and strong security

for vertical industries.

MEC is considered as a combine point of 5G, industrial

internet and IOT, which will grow rapidly , the global edge

network economy will exceed 4.1 trillion dollars by 2030.

Source：USA ChetanSharmaConsulting

Car networking Life Entertainment

Smart cityIndustrial internet

3

4

Connected

Network

The network is for connection service

The value is connecting people and things

Cloudification

Network

The network is for cloud services

The value is connecting the cloud and the network

Computing

Power Network

The network is for computing service

The value is the release of computing power

MEC+AI

Cloud computing

+ Virtualization

MEC+AI promote Computing Power Network

What is Computing power ？

5

➢The Computing power refers to the ability to provide services for the calculate

tasks of users.

① Application is computing power ：Users

directly call applications in cloud DC, such

as VR rendering

② Algorithm/module is computing power ：

Users call some algorithms or modules in

cloud DC to serve their own business

③ Basic resources is computing power：

Users only need the basic vm resources

provided by cloud DC

User

StorageCompute Network

COTS


COTS

VM containerBare metal

APP APP

Module Module Module

①

②

③

Cloud DC1 Cloud DC2


COTS


COTS

VM containerBare metal

APP APP

Module Module Module

The Computing Scheduling Problem Faced by MEC

6

Edge Cloud A

Edge CloudB

Idle Occupied

The characteristics of edge application put

forward more requirements for flexible

computing scheduling crossing-edge cloud.

Thus a corresponding solution is needed

to be provided by carriers.

Edge Application Characteristics:

➢ High Mobility: The applications location often

changes. Flexible adjustments to user access point

are required.

➢ High time variability: Th e app l i c a t io n traffic

changes significantly with time.Flexible adjustments

to computing resource are required.

➢ Requirement enhancement: The application has

obviously requirement enhancement for low latency

and high bandwidth. User SLA guarantee is required.

AS-IS: The Computing Scheduling in Cloud Computing


COTS


COTS

VM Container Bare-Metal

Co

re C

lou

d

Man

ag

em

en

t Syste

m

APP

Backup 3


COTS


COTS

VM ContainerBare-Metal

Lig

htw

eig

ht C

lou

d

Man

ag

em

en

t Syste

m

APP

Backup 1

Edge Cloud

Core Cloud

7

➢ Solution description

⚫ Elastic capacity expansion and contraction: In a resource

pool, an elastic capacity expansion and contraction

strategy is made according to VM's load.

⚫ Defect：It is a computing adjustment within one resource

pool, and it lacks computing scheduling and service

coordination between resource pools.

⚫ Load-balancing ： In one or more resource pool(s), it

creates multi-app backups and makes load-balancing

policy to adjust the service computing allocation among

multi pools.

⚫ Defect: It lacks network cooperation. The best service

processing node can not be determined without user

access information. Hence, it is difficult to meet the low

latency requirement.

user

APP

Backup 2

TO-BE: Computing Power Network

Fixed Access（Family）

Fixed Access（Enterprise）

MobileAccess

NB-IoT Access

Wi-Fi Access Edge

Computing

Resource

Edge Cloud Core Cloud

Core Computing Resource

User

Provides multi-access edge

network to achieve flexible service

access.

vBNG/UPF

Provides high-performance

service node, to meet service

computing requirement.

Meets the service requirement on low-

latency, high bandwidth and security

by moving down the service gateway.

Edge Cloud collaborates with Core

Cloud to adjust computing allocation

flexibly.

Build a computing scheduling solution based on

cloud, network and edge deeply collaboration. 8

Key Capability of Computing Power Network

9

➢ Computing Resource Modeling: It needs to abstract the computing resource,

constructs resource model with computing resource, network resource, storage

resource and even algorithm resource, then provides them as product to users.

➢ Computing Control and Management: It needs to control the computing resources

of core cloud and edge cloud centralized, allocates computing resources to services

from a global perspective, to achieve computing resource control and management.

➢ Computing Power Scheduling: It needs to have the capabilities to allocate and

schedule computing resources flexibly and elastically, thus quickly responding to and

adjusting to the computing requirement.

➢ Service Guarantee: It needs to have the capabilities to predict the change of service

computing requirement, and adjust the computing resource, guarantee the user SLA in

the case of service requirement changing.

Architecture of Computing Power Network

10

• analyzes user service requirement, turn into computing resource requirement , determine deployment location and resourcesbased on requirement

• selects AI service for user service in AI Empowerment Platform,

to determine the deployment specification of user service

• deploys the service which in AI Empowerment Platform on the

specified node

• manages the computing resources, allocates corresponding computing, storage and network resources, and adjusts flexibly the service deployment location and service computing resources on the basis of policy

• manages the networks of users, edge cloud and core cloud, deploy service gateway in the same location with user service, to route service traffic to the processing node

11

Process Flow of Computing Power Network

Edge Node


COTS

ComputingResource

ComputingResouce

vBRAS/UPF

Step1Service Request

APP

Step3Function Select

Step4Gateway and Function node

Deploy

Step5Data Input

Step7Result Output

F1

F2

F3

Edge Node


COTS

ComputingResource

ComputingResource

vBRAS/UPF

Core Node


COTS

ComputingResource

ComputingResource

vBRAS/UPF

ComputingResource

MAN MAN

Access Network

Step6Computing Task Distribute

and Data Write Back

Step2Intelligence Requirement

Analyze

Computing Network Control and Management Orchestrator

Requirement Intelligent

Analysis module

Platform capability scheduling module

Lifecycle management

module

Em

po

werm

en

t pla

tform

12

IDLE

Latency-Sensitive Data

ChinaNet CN2

Data Flow Direction

Regional DC

Computing Network C&M

Orchestrator

AI Platform

5GC

COTS

Container Bare-MetalVM

vBRAS UPF

AI

Pla

tform

COTS


vBRAS UPF

COTS

AI

Pla

tform


Core DC

Edge DC

Integrated Access Office

OLT

MSE MSE

CR CR

A A

B B

ER ER

CPEeNB/gNB

IDLE

Face Recognition Service

Traffic Prediction


Traffic Prediction

AI

Pla

tform

Cloud Management

System

LightweightCloud

Management System

Non-Latency-Sensitive Data

e.g.- Flexible Computing Power Scheduling

Cloud Management

System

Image

Recognition

Image

Recognition

Image

Recognition

Data Annotation

Data Annotation

Data Annotation

13

Latency-Sensitive Data

ChinaNet CN2

Data Flow Direction

Regional DC

AIPlatform

5GC

COTS


vBRAS UPF

Image

Recognition

Data Annotation

AI

Pla

tform

COTS


vBRAS UPF

COTS

AI

Pla

tform


Core DC

Edge DC

Integrated Access Office

OLT

MSE MSE

CR CR

A A

B B

ER ER

CPEeNB/gNB

Traffic Prediction

AI

Pla

tform

Non-Latency-Sensitive Data

e.g. - Flexible Computing Power Scheduling

BUSY Traffic Prediction



Computing Network C&M

Orchestrator

BUSY

Cloud Management

System

Cloud Management

System

LightweightCloud

Management System

Data Annotation

Image

Recognition

Image

Recognition

Data Annotation

THANKS

computing power network for mec - itu€¦ · what is computing power ？ 5 the computing power...

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