Vehicular Technology and OpenStack NFV A Word On The Edge Cloud - - PowerPoint PPT Presentation

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Vehicular Technology and OpenStack NFV A Word On The Edge Cloud - - PowerPoint PPT Presentation

01.11.2017 Vehicular Technology and OpenStack NFV A Word On The Edge Cloud PRAKASH RAMCHANDRAN GOKHALE JAYANTHI Agenda What is VT? How VT uses NFV? Vehicular Technology (VT) addresses part of Intelligent VT fits into using NFV MANO to


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Vehicular Technology and OpenStack NFV

A Word On “The Edge Cloud”

PRAKASH RAMCHANDRAN GOKHALE JAYANTHI

01.11.2017

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What is VT?

Vehicular Technology (VT) addresses part of Intelligent Transportation System (ITS)

What are the VT use cases?

Near-term is Connected Vehicles and long term is Autonomous Driving and in-between some Entertainment & I-IOT applications

What is Openstack’s Edge Stack

Openstack Edge Stack using Small & Medium footprints

How VT uses NFV?

VT fits into using NFV MANO to manage Edge Stack

Using OpenStack Edge for CVA

How do you get OpenStack?

Conclusion & Q&A’s

Next Steps- Need Scoping & Blueprints for VT Support at Edge

Agenda

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What is VT?

Vehicular Technology involves :

  • Communication Radar, Lidar, V2X, (Advanced

driver-assistance systems)ADAS, Autonomous Vehicles (AV) , Short Range Data Communication (SRDC) standards

  • Cloud systems and devices to collect and respond

with precise calculations - latency limitations to respond for steering and driving decisions.

  • Location, Maps & Routes Maps and traffic patterns

and various smart transportation Data to store and analyze in Openstack Cloud using interface and work with different radio technologies.

  • Openstack existing and evolving edge standards

with strategies to enable local and global decisions along with its IoT, Sensors and efforts to support devices meeting LTE Release 12-14 PC5 & LTE-V standards.

Congestion Cost in B$, $121 , 15% lost lives B$, $75 , 9%

Vacation Loss B$, $500 , 63%

Freight Cost B$, $100 , 13%

Potential Cost to save using Autonomous Vehicles R&D in USA

Congestion Cost in B$ lost lives B$ Vacation Loss B$ Freight Cost B$
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SLIDE 4

Intelligent Transportation System and VT

Vehicular Technology is part of transportation and logistic enablement for next generation

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SLIDE 5

Sensors Summary

Ultrasonic Sensor: low resolution, short distance for parking assist RADAR Sensor: radio wave detection and ranging. Medium resolution to determine obstacle, their distance, their speed Odometer Sensor: to measure the speed of the vehicle Prebuilt Maps: containing road / terrain information Inertial Navigation System: uses gyroscope and accelerometers to determine vehicle’s position, orientation and speed. Works along with GPS. DSRC: Direct Short Range Communication, used for vehicle to vehicle(V2V) and Vehicle to Infrastructure (V2I) communication [road, traffic light etc]. Cameras: Grabbing pictures & video for determining the scene IR Sensor: Used to capture low intensity images in the dark / night GPS: Global Positioning System to determine vehicle’s position (lat – long) LIDAR: Light Detection and ranging. Uses light / laser beam based detection of obstacles and prepares a 3D contour map.

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Autonomous Vehicles

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Vehicular Ad-hoc Networks(VANET)

  • As vehicles fall out of the signal range and drop out of

the network, other vehicles can join in, connecting vehicles to one another so that a mobile Internet is created.

  • A Vehicular Ad-Hoc Network, or VANET is a

technology that uses moving vehicles as nodes in a network to create a mobile network. VANET turns every participating vehicle into a wireless router or node, allowing vehicles approximately 100 to 300 meters of each other to connect and, in turn, create a network with a wide range.

  • VANET is a subgroup of MANET where the nodes

refer to vehicles.

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VANET Environment

  • RN

CN DN1 DN-Central

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Principal Components

  • OBU – Onboard units (for onboard interactions and

V2V communication by messages sent directly or through RSU)

  • RSU – Road Side Units (for V2V and V2I). Receives

messages from vehicles and broadcasts them to other vehicles or the Infrastructure

  • Internet Gateway Infrastructure
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Dedicated Short Range Communication (DSRC)

  • 802.11p Add wireless access to vehicular networks

and implements OSI stack

  • Wireless Protocol with Licensed band of 5.9GHz, 7

channels, Range of 1000m, Data rate 6 to 27Mbps

  • Mainly used in communication of
  • 1) Vehicle to Vehicle
  • 2) Vehicle to Roadside Infrastructure
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SLIDE 11

Communication Types at a Glance

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VEHICLE TO VEHICLE COMMUNICATION (V2V)

  • V2V is most suited for short range vehicular networks using DSRC.
  • It is Fast and Reliable and provides real time safety
  • It does not need any roadside Infrastructure.
  • V2V does not have the problem of Vehicle Shadowing in which a smaller

vehicle is shadowed by a larger vehicle preventing it to communicate with the Roadside infrastructure.

  • Location based broadcast and multicast are the proper communication

methods for collision avoidance in V2V Communication

  • Issues:
  • Stringent response times (Maneuvering Time)
  • Identification / Addressing of vehicles (use Certificate of Authority and

assign an address tagged the number plate)

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(V2I) +ROADSIDE COMMUNICATION (V2R)

  • Vehicle to Infrastructure provides solution to longer-range vehicular networks.
  • It makes use of preexisting network infrastructure such as wireless access

points (Road-Side Units, RSUs).

  • Communications between vehicles and RSUs are supported by Vehicle-to-

Infrastructure (V2I) protocol and Vehicle-to-Roadside (V2R) protocol.

  • Needs large area coverage and more feature enhancements for Vehicle

Applications using DSRC or other technologies (Bluetooth, WIFI etc.).

  • Roadside infrastructure involves establishing a connectivity to a

communication infrastructure (5G / 4G or otherwise) and hence involves additional installation costs.

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Security in DSRC

  • Scheduler in every OBU
  • Pre-emptive policy for Higher Priority

Messages

  • Each OBU has a valid certificate issued

by CA(Certification Authority) based on unique license plate registration

  • Based on Digital signature sent by

OBU, using Public key decryption message is verified

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Routing Methodologies

  • In V2V communication, the collision warning messages are broadcast from

vehicle to vehicle across multiple hops without the involvement of a roadside unit.

  • In case of V2R the warning messages are first sent to a roadside unit, and then

broadcast by the roadside unit to all vehicles in range.

  • In V2R/V2V Hybrid Model, Vehicles which receive a warning message via V2V

communication will send it to a roadside unit if they did not receive a warning message with the same event ID from roadside units.

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@OpenStack

Connected Vehicle Applications (CVA)

Next?

  • pen stack
  • penstack

OpenStackFoundation

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Cloud Infrastructure for Intelligent Vehicles

  • OBU – On Board Unit
  • RSU – Road Side Unit
  • RSUC – Road Side Unit Controller
  • Edge Cloud
  • AU – Application Unit
  • Connectivity V2I, V2V, I2V, I2I

OBU OBU OBU OBU OBU OBU RSU RSU RSU RSU RSU BS BS

RSUC RSUC Orchestration & Network Management

V2V I2I V2V V2I V2I V2I V2I I2I RSU I2I

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Road Side Unit Controller (RSCU)

  • Acts like a local data centre, with virtualized resources.
  • Cloudlet infrastructure
  • Runs multiple AUs in VMs
  • Deploys Aus to the RSUs on demand
  • Containerised instances for AUs
  • Hence needs VN, VM, VS (Nova/Neutron/Cinder/Ceph/Swift)
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RSU Deployment

  • Dense Regions: At every intersection. Vehicles with dashboard antenna

range is approximately 50 metres.

  • Normal Regions: 200 meters with an outdoor antenna. Hence RSU can be

deployed every 200 m

  • Sparse Regions: Every 1/2 mile
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V2X Connected Vehicle Applications CVA) Low latency, Location Based, Moderate throughput

  • V2I Safety
  • Red Light Violation Warning
  • Curve Speed Warning
  • Stop Sign Gap Assist
  • Spot Weather Impact Warning
  • Reduced Speed/Work Zone Warning
  • Pedestrian in Signalized
  • Crosswalk Warning (Transit)
  • V2V Safety
  • Emergency Electronic Brake Lights (EEBL)
  • Forward Collision Warning (FCW)
  • Intersection Movement Assist (IMA)
  • Left Turn Assist (LTA)
  • Blind Spot/Lane Change Warning (BSW/LCW)
  • Do Not Pass Warning (DNPW)
  • Vehicle Turning Right in Front of Bus Warning

(Transit)

20

http://www.its.dot.gov/pilots

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@OpenStack

Openstack Modules and Resources for “OPEN EDGE STACK”

Next?

  • penstack
  • penstack

OpenStackFoundation

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NFV Infrastructure & Services at the Edge

Mobility & Session Management

Policy Management for

Service Offerings and associated resource requirements (OPA + Congress) MEC/ Access/Metro Ethernet connectivity Central Large Data Centers(Public & Private) IP Multimedia Services (IMS)

User Plane Functions SFC/Classifiers

Distributed Openstack (MPP) Cloud Management

systems Edge Enabled Applications Transportation Management System and Location Based Safety Applications

(Services/AF)

MANO NFVO Orchestration (ONAP, OpenBaton, OSM, K8, OPNFV CI/Testing)

Middleware APIs

Cloudlet, Statelet, Netlet

“OPEN EDGE STACK”

built from Infrastructure Microservices Distributed “OPEN EDGE NFVI” with VNF/Containers Openstack Lightweight/

Medium Weight VIM

Configurations

In scope of Openstack In Scope for Upstream In Scope common to all

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Openstack Module Mapping: AU & support it needs

Typical AU function & features

  • Application Unit:
  • Deploy applications for local operations, VANET

signalling for VANET messages to other vehicles (V2V)

  • Most of these applications are connected to
  • nboard sensors.
  • Applications for safety interact with RSU for inputs

like (road blocks, lane restrictions, accident, etc). These applications should be dynamically deployed.

  • AU can be implemented as multiple AFs for Safety,

Traffic Analytics, Security/firewall & load balancer, packet classifiers to classify flows & transfer traffic from road side to the centralized Unit(CU) through core (offload service))

  • RSU needs multiple service instances, hence

requires VN, VM, VS (Nova/Neutron/Cinder/Ceph/Swift)

Continue.

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OpenStack Components & Emerging Ones

  • Keystone for ID management /
  • service catalog management (will be at controller)
  • Glance (global)
  • Distributed nova at the RSU
  • Distributed neutron at RSU
  • Distributed cinder / ceph / swift at RSU

Emerging Microservices Proposals For DC - Cloudlet For State Management - Statelet For Edge Network - Netlet Evolving For Orchestration/ZUN, Kuryr, Magnum Evolving For Image Management

  • Kola
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Cloud Infrastructure for Intelligent Vehicles

  • OBU – On Board Unit
  • RSU – Road Side Unit
  • RSUC – Road Side Unit Controller
  • Edge Cloud
  • AU – Application Unit
  • Connectivity V2I, V2V, I2V, I2I

OBU OBU OBU OBU OBU OBU RSU RSU RSU RSU RSU BS BS

RSUC RSUC Orchestration & Network Management

V2V I2I V2V V2I V2I V2I V2I I2I RSU I2I

  • VT can be supported by NFV based Open Edge Stack
  • Questions?
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@OpenStack

THANKS.

Questions?

  • penstack
  • penstack

OpenStackFoundation

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Specification for Edge Cloud Infrastructure

Typical RSU/ RSU-C(2U-20U) specs (Medium)

  • RSU infrastructure:
  • CPU: multi core 64 bit CPU capable of multi threading @ 2 GHz [LS2045 –

LS2085 having 8 Cortex A-57 CPUs NXP processors]

  • Memory: 8 GB RAM
  • Storage: 128 GB SDRAM
  • N/W:
  • Downlink – DSRC or WIFI (multilink infrastructure with RFID, BT, WIFI,

DSRC)

  • Uplink – WiMax / WIFI to a access point connection to internet

Typical OBU specs (Small)

  • OBU infrastructure:
  • CPU : dual core CPU capable of multi threading @ 512 MB
  • Memory: 2-4 GB RAM
  • Storage: 16 GB SDRAM
  • Sensors interconnect – Direct coupling / CAN
  • Networking:
  • Downlink: WIFI for connection to mobiles
  • Uplink: WIFI, DSRC, multilink connection (BT, RFID, DSRC, WIFI)

using 802.11p WAVE