You can run but you can’t hide from it: Edge cloud is here ... di… · Cloud RAN (vRAN 1.0) Haptic VR & tele-operation Cloud-assisted driving BW-efficient 360°video Hi-Res cloud

1 © Nokia 2019 | [email protected] | Mobile Networks | Cloud RAN

Adrian Peret

Chief Architect Cloud, DMTS

Nokia Mobile Networks

Cloud RAN

You can run but you can’t hide from it: Edge cloud is here, now!

21 November 2019

mailto:[email protected]


Chief Architect, Cloud (2014 – present)• Nokia Telco IT Cloud Architecture and Strategy covering converged Telco/IT Cloud

Chief Architect Remote Access Solutions (2014)• Connectivity, data security and automation

Chief Architect Managed Services (2009-2014)• Architecture, design and implementation of Service Operation Center concept,

and Tools for Nokia Managed Services (IT infrastructure, Ticketing systems, Data Warehouse, Workforce Management, UPM, UFM, Inventory, SQM, SLM, Enterprise Bus)

Senior Specialist / VAS Technical Architect - Hosting Service Line (2008-2009)• Architecture, Network Design, Deployment, Implementation and integration of VAS

products for Nokia Siemens Networks Hosting Service Line.

MMS Team Leader (Expat in Saudi Arabia) (2006-2007)• Management of care team for VAS products including 1st, 2nd

line of support and Emergency

Senior Engineer (2000-2006)• Development, technical support, integration and commissioning for CSPs of Nokia

VAS solutions like MMSC, Nokia WAP Gateway, Nokia Browsing Gateway, AGW

Adrian Peret Chief Architect CloudNokia Mobile Networks / Cloud RAN

Setergrotta / Norway

Ojamo Mine / Finland



The imperativeA tale of two industries

$3.8T to $11T

Economic value of IoT (by 2025)

up to

11%of global economy

(in 2025)

Taking benefits from the few to the many unlocks massive opportunity

Physical industries

Digital industries

Annual productivity growth (15 year average)

2.7%

.7%30% 70% 70% 30%

Share of GDPInvestment in ICT



The journey to Industry 4.0

T H E J O U R N E YT O I N D U S T R Y 4 . 0

INDUSTRY 4.0

CONTROLLINGphysical using digital

TO DATE

REPLACEMENTof physical using digital



What’s different?

Ba

nd

wid

thLatency

10kbps

1Mbps

100Mbps

10Gbps 360 Video VR+VRAN+Vehicles

People & Things System Control

1ms10ms100ms1s10s 100us

Expanding scope of business-critical applicationsTo unlock it, we must become adept at controlling the physical with digital means: go beyond physical-to-digital transformation



Imperceptible latency – Shift to ‘human’ control changes everything

Addressing capacity demand while driving down latency

0.1 1 10 100

10

100

1000

10000

(km)

RTT

(ms)

Light propagation in optical fiber

Electric grid control

Autonomous vehicles

Cloud RAN (vRAN 1.0)

Haptic VR & tele-operation

Cloud-assisted driving

BW-efficient 360° video

Hi-Res cloud gaming

4K video streaming

VoIP/video conferencing

Web page load

Vestibulo-ocular reflex

IM chat & bots

Cloud RAN (vRAN 2.0)

Sprint start

0.5

1

2

4

8

7

5 20

10 100

10 40

20 90

120

50 1900

100

150

150

50

1000

4000 Ce

ntr

al

Da

ta C

en

terEd

ge

Da

ta C

en

ter

Service latency requirements (in ms)

Max tolerable networking delay

Max application delay for processing

Human response times (for reference)

High-Frequency trading 0.25



Edge Cloud – Pushing the limits to reach the next level

Addressing capacity demand while driving down latency

Centralized Data Centers

Efficient capacity

Driven by the law of economics

Edge Data Centers

Low latency & efficient transport

Driven by the laws of physicst2020201520102005

Massivemachine

communication

ExtremeMobile

Broadband

Critical machine

communication

Max.

Throughput Min.

Latency



Network enhancements use cases at the edge

Starting points to incrementally realize the target over time

Public/Private Cloud and open ecosystem for innovation moving to Edge

Fixed Access Network Transformation

END USER METRO/CORE

Data CenterDistribute

Small nodes

Virtualize

CentralizeCO

Scale

Latency

Consolidate

FIXED ACCESS

COCOCOCO

Edge Cloud

CO

Latency, bandwidth, and security critical use cases (IoT, MEC)

B2B

B2C

Local content Local data routing Local data processing

Local network functions

Live VR with 4K video and

full stereo audio

Interactive AR-based

wayfinding

Local (temporary) eMBMS

for high density locations

100X faster delivery of

real time video

80-90% elimination of

upstream IoT data

Assured end-to-end

latency <<20ms

Full survivability based on

local EPC components

8X acceleration of cloud-

based enterprise appl’s

RAN Cloudification & Evolution to 5G

Massivemachine

communication

ExtremeMobile

Broadband

Critical machine

communication

Virtualized & distributed IP Edge

vEPC 5GCNBNG VAS

EdgeComputing



Distributed Data Centers

CentralRegionalAggregated edge Far edge

Central data centersEdge data centers

Sites 100-1000’s 10-100’s Few ~3

Footprint Smallest Small Large Large

Power budget Low Medium High High

Signaling drivenLowest latency / high throughput

Edge data centers



VNF/Applications vs. Infrastructure

1920 2020

Running a cloud native telco application on a traditional cloud infrastructure is like

driving a modern, fast cars on a dirt road.

Ap

plic

ati

on

sIn

fra

stru

ctu

re



Edge Data Centers

Challenges

Efficient capacity

CENTRALIZED DATA CENTERS

New business potential

Cost efficiency

Low latency & efficient transport

EDGE DATA CENTERS

Remote sites with limited space and

power

Data center hardware not designed for

edge use

Managing 1000’s of

small clouds and workloads

Potential lock-in to

proprietary solutions

Cloud infrastructure not suitable

for small deployments



Edge Data Center – Requirements - Hardware

• Open (OCP like)• Small, throughput-optimised form factor for far edge• Multicabinet with redundant networking for

aggregation edge• Modular• Ecosystem• Energy efficient• Vanity Free design• Tool less serviceability• Modules can be replaced with no disturbance on

other modules.• Dense• Installation in a 19” wide and max 600mm depth

cabinet• Fully front-operated• Redundant centralised power supplies with AC/DC

options• NEBS compliant• Can work with limited power resources (< 2.4kW)

Hardware

AirScale base station

AirFrame Open Edge server

Adding compute capabilities to a base station site

Reuse existing site solutions



Edge Data Center – Requirements – Cloud InfrastructureCloud Infrastructure

• Hardware Independent• Carrier grade High Availability (no SPoF) (ex. Compliancy with

ITU X.731)• Fast recovery in milliseconds (sub-second)• Small deployment (one server)• Scalability form small to large deployment (2 servers with HA

to multi-rack) – Same stack for all deployments• Unified WebUI• Unified interfaces for operability (REST API, remote CLI,

WebUI)• Maintenance Mode capabilities to support lifecycle

management of the infrastructures• CLI and Remote CLI• Non disruptive lifecycle management capabilities• VM auto evacuation in case of HW or critical infrastructure

software failure.• Cloud infrastructure deployment using L3 networking without

SDN• Seamless upgrade/downgrade• Seamless scale-in/scale-out• Unified CMDB for infrastructure• Hybrid with Integrate KVM, Docker for telco and IT support• Network topology inventory• Fault Management/Performance management/Alarms• Log repository and analysis• Fully automatized deployment capabilities• Measurements (granularity of it: ex. Infra, Tenants, etc)• Quality of service for Virtual Switch• Quality of service for Multitenancy• Runtime centralised configuration management• Multitenancy support• Secure (secure boot, TPM pinning, trusted computing)

Single Node Cloud

Control + Storage + compute

AirFrame OE Cloud

Leaf/Router

Leaf/Mgmt

compute + storage

compute +storage

control + compute

Full Rack Cloud

Minimum Configuration

Management

Leaf

Leaf

Full Rack Cloud

Multi-rack

Management

Leaf

Leaf

…scale

control + compute

control + compute

control + Storage + compute



control + compute

control + compute

control + compute

compute + storage

compute + storage

compute

compute

compute

…

Far Edge Aggregated Edge

Edge



Edge Data Center – Requirements – Management & Automation

• Unified HW Management• HW Fault Visualization and Mediation• HW Performance Visualization and Mediation• HW Configuration• HW Inventory• embedded Software Inventory• eSW Lifecycle Management• HW Allocation• Network Underlay Deployment• Server Provisioning• Host OS Image Repository• Single Pane of Glass for HW Resources

• Unified Cloud Infrastructure Management (UCIM)• VIMs Fault Visualization and Mediation• VIMs Performance Visualization and

Mediation• VIMs Configuration• Virtual Resources Inventory• VIM Deployment / Undeployment• VIM Upgrade / Downgrade• VIM Scale-out / Scale-In• VIM patching• Log Consolidation• Root Cause Analysis (RCA)• Kind off Analytics (Usage Analytics)• Single Pane of Glass for VIM

Management (HW and VIM)

DC (Central)

Main Modules

Far Edge DCs

HM

Aggregated Edge DCs

HM

Regional / Central DC

HM

Single Pane of Glass

HM

VIM1 VIM2 VIM3 VIM4

UCIM

API

Public Clouds

AWS Azure IBM Google

Unified Framework Integration

GUI AR/VR

HWM Components

UCIM Components

Shared Components

VIMs



Industry 4.0 – Enhanced Maintenance

Predictive and improved maintenance with AR/VR

Core Cloud

Telco Core

EPC

Remote support for the operations

Use Case description• Enables remote guidance of service

personnel based on real machine performance

• Includes data from sensors to provide information on the condition of the machine or assets

• Predefined content for standard assets for increased flexibility

Solution components• Headsets and Handsets for content reception

• Telco RAN / Cloud RAN (private or Macro) for content delivery

• Edge Cloud Solution

• AR application running computing on the edge of the network

• Distributed content

Local Radio

Edge Cloud

Virtualization Infrastructure

vMECvMEC

Applications

Distributed applications

VNFs



Improving manufacturing development in real-time

Industry 4.0 - Video analytics for Smart Manufacturing

Camera on production site

pL

TE

Public MNO sliceEdge cloud used for private factory networks and processing of video

streams

Private factory slice

Use Case description• Video Analytics for quality management and

campus security

• Improve reaction time in quality management process and reduce waste production

• Support very demanding manufacturing processes with reliable connectivity

• Increased security and safety level on campus

Solution components• Cameras distributed and connected via

wireless gateways LTE/5G or via cables



• Video analytics application running computing on the edge of the network

• Control engine and events processing platform

Central Cloud

LocalControl

RemoteControl

Edge computing

application processing

Services

Telco Core

EPC

Edge Cloud


vMECvMEC

Applications


VNFsWLAN/4G/5G



Localized content distribution with highest bandwidth

Edge video orchestration / EVO 3.0

Confidential

Venue

Mediaroom

WLAN/4G/5G

Edge Cloud


vMECvMEC

Applications


VNFs

Central Cloud

Telco Core

EPC

Content

distribution

Use Case description• Real-time streaming from TV cameras adding

exciting experience

• Selection between different cameras

• Local unicast & broadcast

• New revenues coming from event-specific packages

• Improved efficiency – cost savings on backhaul

Solution components• UE, application on vMEC, cloud

• Network technologies: 4G, Wi-Fi, 5G

• Breakout: SGW/LBO vs. SGW/PGW vs. EPC

• Additional capabilities, e.g. out-of-band backchannel, firewall, NAT, …



Advancing Public and Campus surveillance with real-time analytics

Video analytics for Public Safety

Telco Core

EPC

HD

Edge

Application

Central Cloud

Video

Processing

Services

Edge Cloud


vMECvMEC

Applications


VNFs

City services slice

Public MNO slice

Use Case description• Video Analytics for security surveillance,

objects recognition, parking spaces analysis, traffic analysis, plates recognition

• Improve reaction time in situation awareness

• Increased security and safety level on monitored areas

Solution components• Cameras distributed and connected via

wireless gateways LTE/5G or via cables



• Video analytics application running computing on the edge of the network

• Control engine and events processing platform

WLAN/4G/5G



Vehicle to X communication

Connected Car

<500 m 40 m

Turn signal

Carpassing

Slow down

Carahead

Keeplane

Central Cloud

RemoteControl

Services

Telco Core

EPC

Edge Cloud


vMECvMEC

Applications


VNFs

Localanalytics

Use Case description• Vehicle to infrastructure communications

services around: Driving Safety Assistance, Real-Time Navigation, Fleet Management, Remote Control, Monitoring & Sensors, Platooning & road efficiency, Pedestrian Safety

• Distributed GeoService which provides local message distribution and information aggregation with minimal latency and interfaces with existing backend services

• C-V2X and 5G capabilities will enable and improve operability, and enable new use cases (e.g. through massive connectivity, bandwidth, reliability, location precision, etc.).

Solution components• Connected car with telematics system



• Edge application for processing and exchanging data

WLAN/4G/5G



Edge Cloud initiatives

•



Take away

• Edge DC’s to provide low latency, high throughput and privacy

• Converged access

• Automation

You can run but you can’t hide form it: Edge cloud is here, now!



Thank you!


Documents

You can run but you can’t hide from it: Edge cloud is here ... di… · Cloud RAN (vRAN 1.0) Haptic VR & tele-operation Cloud-assisted driving BW-efficient 360°video Hi-Res cloud