Dr.-Ing. Leonardo Gomes Baltar () Senior Standards and Research Engineer with inputs from Dario Sabella, Soo Jin Tan and ...
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Dr.-Ing. Leonardo Gomes Baltar (leo.baltar@intel.com) Senior Standards and Research Engineer with inputs from Dario Sabella, Soo Jin Tan and Prakash Kartha
At Intel
We’re powering the future of computing and communications,
delivering experiences once thought to be impossible.
Autonomous 5g Artificial Virtual
Driving networks intelligence Worlds
2
Intel technology leadership
Make the world’s
best semiconductors
Be the Leading end to end platform
provider for the new data world
Lead the Artificial intelligence
& Autonomous revolution
Deliver the best customer experiences on the planet
3
Semiconductor leadership enables
Platform leadership
CPU
FPGA SoC
Co-optimized Co-optimized
process and products
product design
MEMORY MODEM
Intel’s Integrated Device Manufacturer model is
foundational to delivering best-in-class platforms
4
Intel delivers end to end Platforms
Devices/edge NETWORK Cloud/Data center
CUSTOM
MemOry
4g/5G
Software
5
powering AI computing from edge to cloud
Combining Intel hardware and software to accelerate AI
workloads for data-intensive tasks like autonomous driving
Devices / edge network Cloud/data center
6
Contents
• Motivation
• What is Edge Computing?
• Examples of Edge Computing in road ITS
• In-Vehicle and City Experiences– MWC 2018
• Smart RSU example – MWC 2019
• Edge Computing standardization and ecosystem
• ETSI ISG MEC
• 3GPP
• 5GAA
• AECC
• Challenges
7
8
Transformation of Automotive Industry …
Transformation of Automotive Industry in Upcoming Decades
Advances in electronic and computing opened new transportation opportunities
Automotive sector transforms to deliver safe, green and intelligent transportation
with ultimate goal to enable self-driving cars which are becoming reality
Evolution of Human Transportation
Reality
Outlook or Fantasy
History Ongoing Transformation
9
…Toward a data driven era
Practical Challenges Additional Component
Human sensing / control capability • Cellular communication
Environment perception through sensors:
cameras, radar, LIDAR, and centralized Future automated driving is to be further
processing of sensor data to control vehicle empowered by cellular communication
behavior technologies
Real time massive data processing
Parallel / sequential processing
Core Technology Components
Artificial intelligence
Sense / fuse / decide
High-end computing capabilities
Latency / big data / throughput (computing
and memory advances)
Precise location / navigation
10Automated and Connected cars – key drivers
Connected Car Vision
Cloud V2X services
Over the air updates
Infotainment / media delivery
Intelligent route and path
planning
Tracking / fleet management
Transportation as a service
Inter-Car Communication
Vehicles talk to another cars,
pedestrians, road side units
Road safety
Telematics information exchange
Environment perception
Cooperative & automated driving
1112
WHAT IS EDGE COMPUTING?
EDGE COMPUTING IS THE PLACEMENT OF ENDPOINT
DATA CENTER-GRADE NETWORK,
COMPUTE & STORAGE
Closer to DEVICES
TO IMPROVE SERVICE Optimize Comply with Data And reduce
application
CAPABILITIES TCO Locality Latency
Outmost BEFORE TRANSITION
layers of
The Edge TO THE ENDPOINT
Is the Processing
OR
Another Network
or Network
13DATA WORKLOADS DRIVE EDGE COMPUTING
VIDEO
WIRELINE
HEALTHCARE FIXED ACCESS
(vCCAP, PON)
SMALL CELLS
MANUFACTURING LICENSED &
DRONES EDGE
ENERGY
UNLICENSED Driver for edge DATA
CENTERS
RETAIL Latency, bandwidth,
Security, connectivity
NEXT GEN
TRANSPORTATION CENTRAL OFFICE
(vEPC, vBNG)
CUSTOMER PREMISES
SMART EQUIPMENT
PCs CITIES (uCPE, SD-WAN, WIRELESS ACCESS
EDGE COMPUTE BASESTATIONS &
OR FOG NODES) RAN
PHONES
Devices / On-premises Network Network Data Center|
Things edge edge Core Cloud
Latency
expectation
VariesMarket Forecasts
• MEC incorporates the benefits of virtualization and cloud-computing in order to
place high-powered computing capabilities as close as possible to subscribers.
• The largest number of installations, according to iGR (2017), will be for retail and
health care and social assistance. And this forecast was still not considering other
emerging verticals (e.g. VR/AR, automotive, industrial automation, …)
Distributed Cloud unlocks 25% of the
5G operator revenue potential (*)
(*) Source: Ericsson study on 5G business potential 15MEC KPIs and their impact on business
11. Latency improvement
22. Network utilization and cost savings 1 2
33. Energy efficiency, TCO analysis
44. Computational and Networking resources
• Motivation for these KPIs comes from
4
e.g. current positioning of operators (*)
2 3
• Also importantly, performance metrics are applications-specific as they are tailored
to vertical segments (e.g., automotive, industrial automation, VR/ AR etc.).
• Performance assessment of MEC is key. (*) A. Manzalini , “Multi-access Edge Computing: Decoupling IaaS-PaaS for enabling new
global ecosystems”, Berlin 19-20 Sept 2018, Edge Computing Congress, 2018
16Where is the edge?
MEC performance should be compared against different deployment options
MEC gains depends also on the vertical / use case
app
app
Connected macro
vehicles
app app app
Web
RRH RRH
Remote Cloud
Industrial RRH BBU
automation app
app
Global Level
E-Health micro
devices micro
National Level
Local/Regional Level
Access Level
VR/AR
devices > 10000x 100x 1000x 10x 100x 1x 10x
Scale
1718
Advanced V2X & Edge Computing – MWC 2019 DEMO
19Architecture Overview – MWC 2019 DEMO
Next Gen MEC Controller
Sidelink OTA Next Gen V2X on
V2X on Intel
Intel® Xeon® D Cloud
Atom™ IVI
Processor Platform
System V2X
Others Analytics
APP
Car Unit Smart RSU Cloud
Next Gen V2X Intel® Open NESS OpenVINO™
(coming soon)
(optional) toolkit
Intel® Movidius™
CPU Storage Networking Myriad™ X VPU
(optional)
Smart RSU PoC SW Architecture
High Level PoC Architecture
More on Open NESS at www.open-ness.orgNext Gen V2X Wireless Test Platform – MWC 2019 Demo Key features V2V, V2P, V2I radio links based on 5G NR technology Test chip with integrated communication modem and neural network capabilities MEC and FlexRAN for network infrastructure Neighborhood vehicles and environment as compute/storage nodes to form dynamic local cloud Enable new wave of time sensitive and local relevance service in addition to V2X usages
22
ETSI ISG Multi-Access Edge Computing (MEC)
• MEC technology - previously Mobile-Edge Computing – offers IT service and Cloud
computing capabilities at the edge of the network
• Develops specifications that will allow the hosting of third-party applications in a multi-
vendor Multi-Access Edge Computing (MEC) environment and accelerating the
development of edge applications across the industry, to increase market scale and
improve market economics
• By shifting processing power away from remote data centers and closer to the end user, it
enables an environment that is characterized by proximity and ultra-low latency, and
provides exposure to real-time network and context information
ETSI MEC phase 1 ETSI MEC phase 2
End 2014 End 2016
23ETSI ISG Multi-Access Edge Computing (MEC)
• Phase 1 - Platform Service API specifications, such as Application Enablement, Radio
Network Information Service, Location Service, User Equipment Identity Service,
Bandwidth Management Service and User Equipment Application Enablement
• Phase 2 - New use cases and requirements to address topics such as charging, regulatory
compliance, support of mobility, support of containers, support of non-3GPP mobile and
fixed networks, slicing, 3GPP 5G MEC integration, testing, and key vertical use cases such
as automotive. Integration with ETSI’s ISG on Network Functions Virtualisation (NFV)
ETSI MEC phase 1 ETSI MEC phase 2
End 2014 End 2016
24ETSI MEC standard work on V2X
• MEC GR-022 - support for V2X use cases
Focuses on identifying the necessary MEC support for V2X applications
Collects and analyze the relevant V2X use cases (e.g., the from external
organizations.)
And evaluate the gaps from the defined MEC features and functions, by
identifying the new requirements including new features and functions
• MEC GS-030 - V2X service API
Introduces new MEC Service, V2X Information
Service (VIS) based on the study report
conclusions in MEC GR 022
Support for service exposure and communication
ability across participating V2X applications in
different MEC systems
Expose PC5 interface configuration parameters of
one system to another system (the right-hand
side figure is showing a relevant multi-operator
scenario)
25Edge computing in 3GPP
• 3GPP has adopted the Edge Computing concept as part of their 5G
architecture
• 3GPP TS 23.501 (Clause 5.13) on the architecture for 5G Systems,
contains a set of new functional enablers for the integration of MEC in
5G networks.
• 3GPP is also developing the API framework for the northbound APIs, taking
into account corresponding ETSI ISG MEC APIs
• ETSI White Paper No. 28 “MEC in 5G networks”
• Focuses primarily on exploring edge computing enablers from 3GPP
and on how the 3GPP ecosystem may benefit from the MEC system and
its APIs, as a set of complementary capabilities to enable applications
and services environments at the edge of mobile networks
265G Automotive Association – 5GAA
275G Automotive Association
285G Automotive Association
• Edge Computing as priority area
• White paper: “Toward fully connected vehicles: Edge computing for
advanced automotive communications” available at www.5gaa.org
• Covering use cases, business models, standardization and ecosystem
• Cooperation agreement with ETSI
• Particular interest in collaboration with ETSI ITS and ETSI MEC
• More to come in the near future....
• New Work Items on key areas such as MEC and VRU
29Automotive Edge Computing Consortium - AECC
Network/Computing for Global and Initial Focus Leading Market Actors
Automotive BIG DATA Sustainable Ecosystem on Vehicle to Cloud Join Forces
To accommodate the The next generation The context is the high Toyota, Toyota ITC, Ericsson,
automotive big data in a connected cars will require volume Vehicle to Cloud Intel, Denso, DOCOMO, KDDI,
smart and efficient fashion. improved systems in order to services and not the classical NTT are funding members
evolve. V2X/C-ITS services with an and more already joined or
initial focus on automated are in the pipe to join
vehicles
Automotive service evolution needs BIG DATA and its infrastructure
30AECC Vision and Challenges
SAFETY ITS Evolution of
• P2P (sidelink) • Network architectures
• Low latency • Computing infrastructures
• High reachability
• Business models
Short Range CELLULAR V2X
USER EXPERIENCE IVI BIG DATA CAPACITY
• Cloud (downlink)
Accommodate automotive
• Cloud (uplink)
• High Interactivity • Big data capacity CHALLENGE! data & services
• Delay tolerant • Smart and effective fashion
• Multi-operator environment
• Multi-edge environment
CELLULAR WiFi CELLULAR
Challenge to get a homogenous service in a heterogeneous network
31AECC – System-wide Service Requirements
Source: AECC White Paper available at www.aecc.org
3233
Edge computing Challenges for Road ITS
• Support and interoperability
• Multiple road and network infrastructures
• E.g. Multiple RSU and cellular network operators
• Multiple infrastructure vendors
• Multiple applications and service providers
• Multiple vehicle OEMs and suppliers
• Support global interoperability
• Effective incorporatio of AI enabling technologies
• Appropriate Radio Access Neworks
• Functional Safety Compliance
34“Don’t be encumbered by history, go off and do something
wonderful.”
Intel cofounder Bob Noyce
35© Intel Corporation *Other names and brands may be claimed as the property of others. | Intel, the Intel logo, and XMM™ are trademarks of Intel Corporation in the U.S. and/or other countries. Intel, the Intel logo, and XMM™ are trademarks of Intel Corporation in the U.S. and/or other countries. | Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at www.intel.com.
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