In June 2017, AWS announced the general availability of the Greengrass service bringing local compute, messaging, data caching and synch capabilities to network edge devices. In this session, you will learn how AWS IOT, Greengrass and Lambda@Edge are integrated into Nokia’s Multi-Access Edge Compute (MEC) solution, enabling a platform that provides a programming model at the edge as well as specialized access necessary for the roll-out of advanced 4G and 5G use cases. We will dive into the architecture of this MEC implementation that is tailored to aggregate traffic from multiple macro-cellular and small-cell stations in LTE and 5G networks. You will learn to take advantage of the containerized programming environment on the MEC platform, while also connecting with the eco-system of AWS services.

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At the Cutting Edge: AWS IOT and
Greengrass for Multi-access Edge
Computing
N o v e m b e r 2 7 , 2 0 1 7

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Nokia creates the technology to connect the world
With the Industry’s most comprehensive end-to-end portfolio and expertise
Internet
of Things
Ultra-
broadband
IP
interconnectivity
Cloud Digital
health

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Agenda
• The what and why of edge compute
• Problem definition
• Nokia Multi-access Edge Compute solution with AWS Greengrass
• Use cases and Demonstration
• Lessons learned

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The what and why of edge compute

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Edge computing is a method of optimizing cloud computing systems by
performing data processing at the edge of the network, near the source of
the data
Source: Gaber, Mohamed Medhat; Stahl, Frederic; Gomes, Joao Bártolo (2014). Pocket Data Mining - Big Data on Small Devices (1 ed.). Springer International
Publishing.

6. Most machine data never reaches the
cloud
Medical equipment Industrial machinery Extreme environments

7. Why this problem isn’t going away
Law of
physics
Law of
economics
Law of
the land

8. AWS services for edge compute
AWS
CloudFront
Lambda at
Edge
AWS
Greengrass
AWS Snowball
Edge
Placeholder

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Problem definition

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Robust but flexible connectivity is the foundation
Automation, efficiency, and digitalization towards the 4IR
Oil rigs Container terminals Petrochemical plants

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Why a private LTE network?
Mobility, reliability, security, and low latency
Mobility: up to 350 km/h Coverage: up to 100 km
Reliability: 5x9s reliability Performance: guaranteed KPIs
Security: end-to-end military grade encryption
Key LTE characteristics
Part of a CSP public LTE network Enterprise “own” autonomous LTE network
Deployment models
Multi-access Edge Computing
Guaranteed ultra-low latency
Location aware applications
Security via local breakout

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Now available for everybody to deploy
LTE on unlicensed and shared spectrum
150MHz
500MHz
150MHz
3.5 GHz (USA) 5 GHz (Global)
Shared
spectrum
CBRS
Unlicensed
spectrum
MulteFire

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Nokia Multi-access Edge Compute
solution with AWS Greengrass

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Nokia MEC use case examples
Augmented reality Car2X Campus LTE Real time video
Surveillance cameras Object tracking Live virtual reality People finder
TWICE

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Enabler for 4IR: Private LTE based networks
and Multi-access Edge Computing
Public LTE network
Private LTE network
Base stations
MEC
Enterprise systems Network
operations
EPC
Standardized
Radio-agnostic
Collaborative
Mobile networks
data awareness
1 2 3 Solution

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Nokia Multi-access Edge Computing
Technical highlights
• Virtualized platform application
• Multi-access support
• E2E private LTE network enabler
• High performance, enhanced security,
privacy, reliability
• Fully standardized based on ETSI MECLTE macro cell
LTE small cell
SGi
S1
S1
S5/S8
Multi-access
Edge Computing
Virtual Network Functions
(VNF)
Virtualization Infrastructure
ZC
Application
VNF
Platform
VNF
ZC
Application
VNF
Application
VNFs
EPC Internet
1 2 3 Solution

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AWS Greengrass
• Enables local logic execution and local
triggers (message and broker)
• Security certificates and access
management
• Extends ubiquitous programming model to
network edge
• Addresses privacy/regulatory requirements
• State sync with the cloud
Technical highlights
1 2 3 Solution
Extends AWS onto your devices so they can act locally on the data they generate,
while still taking advantage of the cloud

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E2E private LTE network with Nokia MEC
and AWS Greengrass solution
• Nokia
• LTE radio, transport network, data
centers, MEC, Local Breakout LTE
core
• Amazon
• AWS Greengrass Core, AWS GG
SDK, AWS Cloud, AWS IoT
services, Network Intelligence
• Partners
• IoT sensors, IoT devices, Wi-Fi/LTE
modem, applications, content,
Network Intelligence
Solution Components
LTE radios
IoT sensors,
devices,
smartphones
Transport network
Nokia Airframe DC
WiFi/LTE
modem
LTEWiFi
MEC
LBO
AWS GG
Applications
Rules
Engine
Device
Shadows
Device
SDKs
Registry
Device
Gateway
IoT
LTE
Core
1 2 3 Solution

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Traffic flow with Nokia MEC and AWS
Greengrass
MEC *
LTE radio
IoT sensors,
IoT devices,
smartphones
LTE Core
Network
Content
Servers in
Internet
Site aggregation
points
Normal LTE traffic through carrier network to Internet
MEC user plane traffic between UEs and content servers on cell edge
Internet
* MEC is SW component and it can be part of a site aggregration point
or have its own generic IT HW where it is running
Content/applications/
network intelligence
on the cell edge
Rules
Engine
Device
Shadows
Device
SDKs
Registry
Device
Gateway
IoT
Enables 1000s of lambda
functions at Mobile network
edge

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Use cases and demo

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Industrial
campuses
Manufacturing
Mining, Oil & GasTransportation
Nokia and AWS joint solution focuses on
Confidential
LogisticsIndustrial
Mining, Oil, and GasTransportation

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Demonstration

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The current situation with shipping
containers
 20,000 containers, only 1000 refrigerated containers has sensors - tracking
humidity, temperature real-time critical for goods
 Connectivity based on GSM and satellite backhaul
 Delay in accurate information updates with unreliable connectivity
 Poor customer experience

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Nokia private LTE and MEC with AWS
Greengrass and Sumerian – VR Demo
• Nokia
• CBRS LTE Radios, vMEC,
LBO, vEPC
• Amazon
• AWS Greengrass Core,
AWS GG SDK, AWS
Cloud, AWS IoT services
• Partners
• Gemtek Ethernet/CBRS
LTE CPE, Dell Edge
Server, Oculus VR
headset
Solution Components
Rules
Engine
Device
Shadows
Device
SDKs
Registry
Device
Gateway
IoT
vMEC,
CBRS LTE
Radios
Dell Edge Server
AWS GG
Ethernet/CBRS
LTE CPE
RF
cableEthernet
Nokia
vEPC
Oculus VR
headset
LBO

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Low latency Cost Savings Network Performance
LTE

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Lessons learned

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What we learned today
Local
actions with
Lambda
functions
AWS-grade
security certificate
mutual
authentication
Local triggers
local message
broker
Data and
state sync with
local
device shadows
AWSGreengrass
E2E private
LTE with multi-
access support
MEC enables
IoT, ML, AI
and apps in
the edge
Nokia MEC
virtualized
platform in
enterprise or
carrier network
NokiaMEC
Fully
standardized
solution
providing low
latency for
applications

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Visit us in builders fair @ Aria to join the Edge
compute conversation

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Thank you!