Architecting Ultra-Low Latency Applications with AWS & 5G

ARCHITECTING ULTRA-LOW
LATENCY APPLICATIONS
WITH AWS & 5G
Business Unit Manager – IoT | Storm Reply
GABRIEL PAREDES LOZA
April 2023

2 Reply © 2023 All rights reserved. Do not distribute without written authorization
INTRODUCTION
Speaker – Gabriel Paredes Loza
BU Manager – IoT
Gabriel is an AWS Cloud Expert
with deep knowledge around IoT,
Bigdata, Cybersecurity, and 5G
j.paredesloza@reply.de
• Premier Tier Services
• IoT Consulting Competency
• ML Consulting Competency
• Security Consulting Competency
• AWS Managed Service Provider

Reply © 2022 All rights reserved. Do not distribute without written authorization
REPLY & AWS
WAR
MSP MSA ProServ
CAF
most relevant capabilities shown
15+ PRACTICES & PROGRAMS
16 YEARS OF AWS EXPERIENCE
13 AWS COMPETENCIES
Data &
Analytics
DevOps Security Mass
Migration
IoT
SaaS
Machine
Learning
Oracle Financial
Services
Industrial
Software
Energy
Retail
2020
Strategic
Collaboration
Agreement
(re:Stack)
2013
Premier
Consulting
Partner
Partner
Network
2017
Innovation
Award
Germany
(Serverless IoT)
2018 / 19
Best Development
& Competencies
Partner Award
Germany
2021
Partner of the
year Award
(Italy)
2008
Reply started
working on
AWS
technology
2022
re:Stack Expansion
SI & Security Partner
of the year (EMEA)
Cloud
Operations
🚀
Premier Consulting Partner
partner
network
Managed Service Provider
partner
network
ISO 9001:2015
Certified
500+ AWS
cloud consultants
+60 M€/Year
AWS revenue managed
500+ cloud projects
concluded
over 100 active
customers
A Long-Standing Partnership

4
• Ultra-Low Latency IoT Applications
• The Basics
• Definition & Drivers
• Reference Architecture
• Technical Considerations
• Building Blocks
• AWS & 5G
• ULL Use Cases
• Conclusions
• Q&A
TODAY’S AGENDA
27.04.2023 / Architecting Ultra-Low Latency IoT Applications with AWS & 5G

ULTRA-LOW LATENCY
IOT APPLICATIONS
• Basic Concepts
• Key Definitions
• Business Drivers

5G allows three
service grades that
may be tuned for
key requirements,
allowing customers
to validate different
business cases.
6
ULTRA-LOW LATENCY IOT APPS
5G’s Service Grades Enhanced Mobile
Broadband (eMBB)
Ultra-Reliable-Low Latency
Communication (URLLC)
Massive Machine Type
Communication (mMTC)
Gigabits in a second
Smart Home / Building
Voice
Smart City
3D Video, 8K, UHD Screens
Cloud Games and Work
Augmented Reality
Industry Automation
Self Driving Cars
Mission Critical Apps

7
ULL IoT Applications require more than “just” ultra-low latency…
5G Feature
Name
5G Feature
Description
5G Feature
Specification
4G Feature
Specification
Broadband Speed Maximum Data Transmission Rate
per User across Coverage Area
20 Gbit/s to
100 Mbit/s
100 Mbit/s to
10 to 15 Mbit/s
Latency Time to transmit a Data Packer from
one Node to Another
1-5 milliseconds 5-50 milliseconds
Stable Performance
Under High-Speed
Mobility Conditions
Quality Handover Interruption Time,
Uplink, Downlink, and Jitter
Quality up to
500 km/h
Quality up to
350 km/h
Connection Density Ability to support Data Delivery
within a certain time in a space-
constrained location
Over 100.000
Connections/km2
Around 2.000
Connections/km2
Note: all data points are approximations, given the existence of many different standard specifications.
Source: The CIO’s Guide to 5G Connectivity and Strategy, Forrester Report

Required
Investments for 5G
Networks Rollout are
backed by several
Business Drivers the
technology’s Value
Proposition Unlocks.
8
ULTRA-LOW LATENCY APPS
Definition & Drivers
High Bandwidth
Low / Ultra-Low Latency
Quality of Service
Long-Range Coverage
Long Battery Life
Real-Time Decision Making
Improved Efficiency & Productivity
Enhanced Customer Experience
Costs Savings
New Business Streams / Models
Business Drivers
5G’s Value Proposition
Unlocks
Require

9
5G
IoT
5G infrastructure can connect tens of
millions of wireless devices and enables
M2M communication links in IoT
5G Networks as a core enabler for IoT,
AI/ML, and Edge Computing use-cases
AI / ML
5G enables efficient deployment of key
automation use-cases leveraging AI / ML
Unlocking Edge Computing, IoT, and AI’s Potential with 5G
Edge
5G enables data processing close to the
connected device, using ultra-low latency
and ultra-high bandwidth
Source: “5G Part Three: IoT, Edge Computing, and Network” Webinar, Forrester Report.

REFERENCE
ARCHITECTURE
• Technical Considerations
• Building Blocks

Developers and
Security Experts
need to find a
Tradeoff between
Security Posture
and Latency needs.
11
REFERENCE ARCHITECTURE
Technical Considerations
Cybersecurity

Developers and
Security Experts
need to find a
Tradeoff between
Data Volumes and
Processing Speed.
12
Cybersecurity
Data
Governance

Depending on the
use-case criticality,
Private (Licensed)
5G Networks or
Public 5G Networks
can enforce
different QoS
levels.
13
Cybersecurity
Data
Governance
Quality of
Service

Developers need to
evaluate the Impact
Additional Layers
have on Ultra-Low
Latency KPIs.
14
Cybersecurity
Data
Governance
Quality of
Service
Scalability &
Resiliency

Developers need to
evaluate the Impact
Additional Layers
have on Ultra-Low
Latency KPIs.
15
Cybersecurity
Data
Governance
Quality of
Service
APIs /
Entry Points
Scalability &
Resiliency

16
Building Blocks: Devices & Radio Interface
O-RAN
Empowered by principles of intelligence and
openness, the O-RAN Architecture is the foundation
for building a virtualized RAN on open hardware
and cloud, with embedded AI-powered radio control.

17
Building Blocks: Edge Infrastructure
Multiple-Access Edge Computing
Bring logic and cloud computing power to
the edge of a network, closer to end users,
reducing latency, and network congestion.

18
Building Blocks: Core Network & Internet, Cloud Infrastructure
Distributed Cloud
Public cloud services available in remote locations, a
single control plane for unified developer / strategy
experience, and secure & reliable network tunnels, are the
key components of a distributed cloud implementation.

19
Building Blocks: Edge-to-Cloud Governance
Platform Governance
Data Governance
IoT Value Chain Security
API Layer Definition

❗ Unreliable
Network
Performance
❗ Latency Values in
the 100ms range
❗ Network
Backbone Data
Pressure (e. g.
10Gbit/s with 5G)
20
Deployment Type: Cloud-Based AI

ü Ultra-Low
Latency UE <->
Edge (5ms RTT)*
ü Data Pressure
terminated @
Edge)
❗ Unreliable
Network
Performance
Edge <-> Cloud
21
Deployment Type : Edge AI
*: Latency values are experimental and have been
measured by using AWS Wavelength as MEC.

ü Service Link
Edge <-> Cloud
ü Low Latency UE
<-> Cloud
(<50ms RTT)*
ü Single Control
Plane for Cloud
and Edge
22
Deployment Type : Distributed AI
*: Latency values are experimental and have been
measured by using AWS Wavelength as MEC and AWS
PrivateLink in the Parent Region’s VPC.

AWS & 5G
• 5G Offering on AWS
• AWS Wavelength
• ULL AWS Reference Architecture
• ULL Use-Cases

24
AWS & 5G
5G Offering on AWS*
*: Some services might or might not be available outside the US. Please consult the AWS website before planning their usage.
AWS Wavelength
Run compute and
storage workloads
on AWS
infrastructure located
on the edge of the
5G network
AWS Outposts
Extend AWS
infrastructure,
services, APIs, and
tools to on-premises
data centers and
edge locations
AWS Private 5G
Deploy, operate,
and scale own
Private Mobile
Network, with all
needed HW and SW
provided by AWS
AWS Local Zones
Place compute,
storage, database,
and other selected
AWS services close
to large populations
or industry centers

25
AWS & 5G
AWS Wavelength

26
AWS & 5G
AWS Wavelength

27
AWS & 5G
AWS Wavelength

28
AWS & 5G
AWS Wavelength

29
AWS & 5G
AWS Wavelength

30
AWS & 5G
AWS Wavelength

31
AWS & 5G
Ultra-Low Latency AWS Reference Architecture
ü Cloud-Native
ü Highly Available
ü ML Inference ≦ 10ms

32
AWS & 5G
Ultra-Low Latency Use-Cases
100s of Gbps 100s of Gbps 100s of Gbps 100s of Gbps 100s of Gbps
10s of Gbps 10s of Gbps 10s of Gbps 10s of Gbps 10s of Gbps

34
CONCLUSIONS
“Ultra-Low Latency IoT
Applications require more
than “just” Low Latency”
Key Takeaways
！ 5G’s Future lays on Justified ROIs
involving significant Implementation
and Modernization Costs
！ Scaling-up ULL Solutions generates
challenges such as Increased Data
Volumes and Attack Surfaces
ü Distributed Cloud with AWS provides
a Single Control Plane for the setup
and maintenance of an E2E solution
ü Edge AI, 5G, and IoT are the perfect
Triade for Unlocking new ULL Use-
Cases and Business Opportunities

THANK YOU!
Gabriel Paredes Loza
BU Manager – IoT @ Storm Reply
j.paredesloza@reply.de

Architecting Ultra-Low Latency Applications with AWS & 5G

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