dr.-ing. leonardo gomes baltar ([email protected])...computing capabilities at the edge of the...
TRANSCRIPT
Dr.-Ing. Leonardo Gomes Baltar ([email protected])Senior Standards and Research Engineer
with inputs from Dario Sabella, Soo Jin Tan and Prakash Kartha
Virtual Worlds
Artificialintelligence
5gnetworks
AutonomousDriving
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At IntelWe’re powering the future of computing and communications,
delivering experiences once thought to be impossible.
Intel technology leadership
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Deliver the best customer experiences on the planet
Make the world’sbest semiconductors
Lead the Artificial intelligence& Autonomous revolution
Be the Leading end to end platformprovider for the new data world
Co-optimized process and
product design
CPU
FPGA SoC
MEMORY
Semiconductor leadership enablesPlatform leadership
Co-optimized products
MODEM
Intel’s Integrated Device Manufacturer model is foundational to delivering best-in-class platforms
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Devices/edge NETWORK Cloud/Data center
Intel delivers end to end Platforms
Software
4g/5G
MemOry
CUSTOM
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powering AI computing from edge to cloudCombining Intel hardware and software to accelerate AI
workloads for data-intensive tasks like autonomous driving
Devices / edge network Cloud/data center
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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
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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
Outlook or FantasyHistory
RealityOngoing Transformation
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…Toward a data driven eraAdditional Component
• Cellular communication
Future automated driving is to be further
empowered by cellular communication
technologies
Practical Challenges
Human sensing / control capability
Environment perception through sensors: cameras, radar, LIDAR, and centralized processing of sensor data to control vehicle behavior
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
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Automated and Connected cars – key driversConnected 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
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TO IMPROVE SERVICECAPABILITIES
OptimizeTCO
Comply with DataLocality
And reduce applicationLatency
EDGE COMPUTING IS THE PLACEMENT OFDATA CENTER-GRADE NETWORK,COMPUTE & STORAGE
ENDPOINTDEVICESCloser to
The EdgeIs the
BEFORE TRANSITIONTO THE ENDPOINT
ORAnother Network
Outmostlayers of
Processingor Network
WHAT IS EDGE COMPUTING?
Devices /Things
MANUFACTURING
TRANSPORTATION
ENERGY
VIDEO
HEALTHCARE
RETAIL
NetworkCore
Data Center|Cloud
On-premises edge
DRONES
PHONES
SMARTCITIESPCs
Network edge
WIRELESS ACCESSBASESTATIONS &
RAN
NEXT GEN CENTRAL OFFICE
(vEPC, vBNG)
EDGE DATA
CENTERS
CUSTOMER PREMISES EQUIPMENT
(uCPE, SD-WAN, EDGE COMPUTE OR FOG NODES)
SMALL CELLS LICENSED &
UNLICENSED
WIRELINEFIXED ACCESS(vCCAP, PON)
Driver for edgeLatency, bandwidth,
Security, connectivity
Edge Services on different types of Edge Platforms –> On-Premises and In-Network(uCPE, vRAN, NGCO, Edge Compute Nodes, and others)
Varies <1 ms <5 ms <10-40 ms < 60 ms ~100 msLatency expectation
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DATA WORKLOADS DRIVE EDGE COMPUTING
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Market Forecasts
Distributed Cloud unlocks 25% of the
5G operator revenue potential (*)
(*) Source: Ericsson study on 5G business potential
• 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, …)
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MEC KPIs and their impact on business1. Latency improvement
2. Network utilization and cost savings
3. Energy efficiency, TCO analysis
4. Computational and Networking resources
• Also importantly, performance metrics are applications-specific as they are tailored
to vertical segments (e.g., automotive, industrial automation, VR/ AR etc.).
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• Motivation for these KPIs comes from
e.g. current positioning of operators (*)
(*) A. Manzalini , “Multi-access Edge Computing: Decoupling IaaS-PaaS for enabling new global ecosystems”, Berlin 19-20 Sept 2018, Edge Computing Congress, 2018
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• Performance assessment of MEC is key.
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Where is the edge? MEC performance should be compared against different deployment options
MEC gains depends also on the vertical / use case
Web
Access Level
RRH
RRH
RRH
macro
micro
BBU
micro
Local/Regional Level
National Level
Remote Cloud
app
app
app
app
app
app
app
Global Level
1x 10x10x 100x100x 1000x> 10000x
Industrial automation
Connectedvehicles
E-Healthdevices
VR/AR devices
Scale
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Advanced V2X & Edge Computing – MWC 2019 DEMO
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CPU Storage NetworkingIntel® Movidius™ Myriad™ X VPU
(optional)
Intel® Open NESS (optional)
Next Gen V2X
AnalyticsV2XAPPOthers
MEC Controller
Intel® Movidius™ Myriad™ X VPU
(optional)
Intel® Open NESS (coming soon)
Others
High Level PoC Architecture
Smart RSU PoC SW Architecture
Next Gen V2X on Intel
Atom™ IVI System
Next Gen V2X on Intel® Xeon® D
Processor PlatformCloud
Car Unit Smart RSU Cloud
Sidelink OTA
OpenVINO™ toolkit
Architecture Overview – MWC 2019 DEMO
More on Open NESS at www.open-ness.org
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
Next Gen V2X Wireless Test Platform – MWC 2019 Demo
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ETSI ISG Multi-Access Edge Computing (MEC)
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End 2016
ETSI MEC phase 1 ETSI MEC phase 2
End 2014
• 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 ISG Multi-Access Edge Computing (MEC)
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End 2016
ETSI MEC phase 1 ETSI MEC phase 2
End 2014
• 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)
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ETSI 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)
Edge computing in 3GPP
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• 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
5G Automotive Association – 5GAA
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5G Automotive Association
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5G 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
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Automotive Edge Computing Consortium - AECC
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Network/Computing for Automotive BIG DATA
To accommodate the automotive big data in a
smart and efficient fashion.
Global andSustainable Ecosystem
The next generation connected cars will require
improved systems in order to evolve.
Initial Focuson Vehicle to Cloud
The context is the high volume Vehicle to Cloud
services and not the classical V2X/C-ITS services with an initial focus on automated
vehicles
Leading Market Actors Join Forces
Toyota, Toyota ITC, Ericsson, Intel, Denso, DOCOMO, KDDI,
NTT are funding members and more already joined or
are in the pipe to join
Automotive service evolution needs BIG DATA and its infrastructure
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AECC Vision and ChallengesITS
IVI BIG DATA• Cloud (downlink)• High Interactivity
• P2P (sidelink)• Low latency• High reachability
• Cloud (uplink)• Big data capacity• Delay tolerant
CELLULAR WiFi
Short Range CELLULAR V2X
CELLULAR
CHALLENGE!
SAFETY
USER EXPERIENCE CAPACITY
Evolution of• Network architectures• Computing infrastructures• Business models
Accommodate automotivedata & services• Smart and effective fashion• Multi-operator environment• Multi-edge environment
Challenge to get a homogenous service in a heterogeneous network
AECC – System-wide Service Requirements
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Source: AECC White Paper available at www.aecc.org
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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
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“Don’t be encumbered by history, go off and do something wonderful.”Intel cofounder Bob Noyce
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