Accelerating 5G enterprise networks with edge computing and latency assurance

Accelerating 5G enterprise networks with
edge computing and latency assurance
Jim Zou
Symposium
On the edge: MEC-based
network architectures in
support of enterprise cloud

© 2021 ADVA. All rights reserved.
2
Use cases for next-generation wireless
All built on open architectures and best-of-breed multi-vendor components
Wireless IoT access
“Open 5G”
public networks
Private wireless
Latency and reliability
Speed Scale
Slicing
Security
Neutral host
O-RAN
Sync
“Killer app” – is not running on a handset …

3
Precision and performance rather than coverage
Why do enterprise networks need their own 5G?
MNO limitation
• High frequency loss
• Campus coverage
• SLA difficulty
• In-building complexes
• Underground facility
Differential needs
• Security
• Location services
• Latency
• Time-sensitive
networking

4
Communication
service provider
Metro
Distribution and hosting
Midhaul
Core
data center
Cloud and OTT
services
The rush for the edge
Edge
Device
edge
Metro edge
Far edge
Regional
data center
User edge Aggregation edge
< 1 ms
$$$$
< 10ms
$$$
10-50ms
$$
100-200ms
$
Backhaul Longhaul
Fronthaul

5
Edge application quadrant
Throughput
Latency
1 Mb/s
10 Mb/s
100 Mb/s
1 Gb/s
10 Gb/s
100 Gb/s
100µs 1ms 20ms 100ms 1s
Motion sickness
Cloud
Edge

6
5G and IoT
• New fronthaul, backhaul and
timing investments
• Edge compute resources
inside the network expand
rapidly
• Open wholesale models
prevail
Moving to the cloud
• Video, video, video!
• Terascale DCI*
• Secure cloud access
• Virtualized service creation
• Edge cloud investments
Market growth drivers
Megatrends drive investment focus to the edge
Enterprise transformation
• Investment in new
technologies to stay relevant
and lead the transformation
and digitization of society
• Security is of highest
importance
*data center interconnect

© 2021 ADVA. All rights reserved. Confidential.
Edge compute case study

8
• MNO operates mobile core and licensed
spectrum
• Enterprise hosts radio access network
• Roaming into public network
• Edge computing and network slicing highly
relevant
• MNO operates mobile core and licensed
spectrum
• Enterprise hosts radio access network
• Roaming into public network
• Edge computing and network slicing highly
relevant
Private 5G virtualization
New operational models take advantage of latest mobile technologies
Virtual private LTE/5G
Private LTE/5G
Mobile
core
Operational
technology
Mobile core
Operational
technology

9
• Reducing amount of backhaul traffic by local
pre-processing, e.g., video streams
• Better security by keeping local data on local
server (MEC use-case “local breakout”)
Faster response and backhaul offloading
Less backhaul and secure onsite storage
Less backhaul and secure onsite storage
Reducing latency with edge compute
Edge computing for lower latency, better security, and less backhaul traffic
RAN packet
transport
EPC
RAN packet
transport
EPC
RT: ~ms
Complementing NID with
high-performance server
EPC: evolved packet core
Response time: ~10ms and beyond
Untrusted
public transport

10
Optimizing latency to mitigate VR black edge
Source: Huawei, CAICT, “Cloud VR Black Edge and Network Latency Relationship”, White Paper

11
Applications requiring edge compute
Providers’ expectations

Accelerating MEC adoption
Enabling technologies

13
Core elements of building an edge
Assurance
• Determinism
• Privacy and security
• Precision and resilience
Agility
• SDN
• NFV
• Cloud native
• Application oriented
Performance
• Transport layer
• Cost efficiency
• Hardware platform
Assurance
Performance
Agility

14
Containers provide a lighter path to portability – omitting the guest OS
Cloud native transformation
Containers provide a lighter path to portability
...
Virtual Machine Monitor (VMM)/Hypervisor
VMn
VM0 VM1
Platform HW
I/O Devices
Processor/CS
Memory
Appn
App0
Guest OS0
App1
Guest OS1 Guest OSn
Host operating system
...
Docker Engine
Platform HW
I/O Devices
Processor/CS
Memory
Cloud native
appn
Cloud native
app0
Cloud native
app1
Host operating system

15
Hardware platform
Pick the best deployment option for the application
Hardware
independence,
portability
and
scalability
Performance requirements (throughput, latency, etc.) and cost
Pure software
(x86 or ARM)
Small uCPE SW and DPDK
(x86 or ARM)
Large uCPE SW and
SR-IOV
Data center Hybrid NID
Smart NIC
MEC, CORD

16
• Most flexible lowest latency
• Needs large amount of fiber
• Highest fiber capacity
• Active, semi-active & passive • Exploits FTTx convergence
• Latency & capacity challenges
Grey optics
Operators will likely use a mix of solutions
Optical layer options
WDM TDM-PON
Tunable
DWDM
LAN-
WDM/
MWDM
Fixed
DWDM
CWDM
Scalable
fiber capacity
Easy operations
Leveraging
data center
optics
Low cost E. Harstead, et al. JLT, 37(2), 2019
OLT
ODN
ONU
CO
RU
CO-DBA
Balance among cost, bandwidth, and latency

17
Example: Latency in Ethernet aggregator
Applications require a maximum latency and controlled latency variation
Low latency is more than just fast transmission
Framing
FEC
Link control
Frame forwarding
Switching
Address lookup
Packet forwarding
Routing
TCP windowing
Flow control
Packet retransmission
Application
Presentation
Session
Less latency
More latency
1
2
3
4
5
6
7
Source: “Fronthaul Evolution: From CPRI to Ethernet”, OFT 2015

18
Data transport with bounded low latency, low delay variation, and extremely low loss
Time-sensitive networking toolbox
Admission Control
802.1Qat – Stream Reservation Protocol (SRP)
802.1Qcc – SRP enhancements and performance improvements
Deterministic traffic
• Latency
• Delay variation
Redundancy
Synchronization Scheduling
802.1AS-Rev – Timing and
Synchronization (including
profile of IEEE 1588-2008)
802.1Qbv – Enhancements for
Scheduled Traffic
802. 1Qbu – Frame Pre-emption
802. 1Qch – Cyclic Queuing
and Forwarding
Reliability
802.1CB – Frame Replication and Elimination for Reliability
802.1Qci – Per-Stream Filtering and Policing
Guaranteed traffic
Automated configuration
Profile
802.1CM –
TSN for fronthaul

19
Introducing end-to-end network timing delivery
Edge of
mobile core
GNSS

20
Distributing PRTC to
network edge, ultimately
locating at cell sites
Improving core PRTC
towards ePRTC
Adding boundary clock /
transparent clock capability
Assured precision timing – scalable phase and frequency synchronization
Introducing end-to-end network timing delivery
SSU
Edge of
mobile core
ePRTC
Distributing PRTC
Boundary clock
Ethernet with SyncE
IEEE 1588 PTP
Atomic
clock
PTP
GM

Research innovation

22
Using network slicing to deliver high-bandwidth and low-latency service
Application layer innovation
Video surveillance for public safety
Virtual
machine
Video
management
system
Compute node
AMEN
(access metro edge node)
Virtual
machine
Video
analytics
Compute node
MCEN
(metro core edge node)
Metro network
controlled by NFV network service
High-bandwidth video & low latency control traffic
Surveillance cameras Client Control center
A. Dochhan, et al, OFC 2020

23
Showcase MEC flexibility with guaranteed performance
Radio Access
Transport
Network
Edge
Compute
Central
Cloud
Transport
Network
RU
CU-UP
UPF
MEC
Local
Brakeout
Local CDN
Local Analytics
FH
UPF
gNB
N3 Tunnel
URLLC
Real
time
Edge Analytics
Edge CDN
UPF
MEC
Public/
Private
Public Services
gNB
N2
N3
Non
real
time
Cloud analytics
Central CDN
Public
Central
Cloud
5GC-
Private
N2
5GC Public
PON
Optical/
TSON Edge
CU-UP
TSN
mmWave
Optical/
TSON core
mmWave
TSN
DU
RU
Optical/
TSON Edge
DU/CU
FH
N3
Ethernet
Non-3GPP
(mmwave, WiFi) N3IWF
N3
N2
UPF
5G-COMPLETE aims to revolutionize
the 5G architecture, by efficiently
combining compute and storage
resource functionality over a unified
ultra-high capacity converged
digital/analog Fiber-Wireless RAN.
A unified network, Computational and stOrage resource Management framework
targeting end-to-end Performance optimization for secure 5G muLti-tEchnology
and multi-Tenancy Environments

24
Smart city edge and lamp post IoT deployment
Hardware accelerator and low-power GPU for performance and cost efficiency
High-tech and AFFORDABLE 5G network roll-out to every corner
• Potential of 5G video streaming in dense
scenarios
• Video processing employing computer
vision at the network edge

25
Industrial/manufacturing private network
TSN enables deterministic latency over 5G for Industry 4.0
High-tech and AFFORDABLE 5G network rollout to every corner
• Potential of 5G video streaming in dense
scenarios
• Video processing employing computer
vision at the network edge

26
Conclusion
Differential
enterprise 5G
requirements
Key technologies
can help and are
ready
The path to the
ultimate “edge”
Application-
driven features
and solutions

Thank you / Vielen Dank / 谢谢
IMPORTANT NOTICE
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The information in this presentation may not be accurate, complete or up to date, and is provided without warranties or representations of any kind, either express or implied. ADVA shall not be responsible for and disclaims any liability for any loss or damages, including without limitation,
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info@adva.com

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