Vehicular Technology and OpenStack NFV
A Word On “The Edge Cloud”
PRAKASH RAMCHANDRAN GOKHALE JAYANTHI
01.11.2017
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
A Word On “The Edge Cloud”
PRAKASH RAMCHANDRAN GOKHALE JAYANTHI
01.11.2017
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
Vehicular Technology involves :
driver-assistance systems)ADAS, Autonomous Vehicles (AV) , Short Range Data Communication (SRDC) standards
with precise calculations - latency limitations to respond for steering and driving decisions.
and various smart transportation Data to store and analyze in Openstack Cloud using interface and work with different radio technologies.
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$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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the network, other vehicles can join in, connecting vehicles to one another so that a mobile Internet is created.
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.
refer to vehicles.
CN DN1 DN-Central
vehicle is shadowed by a larger vehicle preventing it to communicate with the Roadside infrastructure.
methods for collision avoidance in V2V Communication
assign an address tagged the number plate)
points (Road-Side Units, RSUs).
Infrastructure (V2I) protocol and Vehicle-to-Roadside (V2R) protocol.
Applications using DSRC or other technologies (Bluetooth, WIFI etc.).
communication infrastructure (5G / 4G or otherwise) and hence involves additional installation costs.
Messages
vehicle to vehicle across multiple hops without the involvement of a roadside unit.
broadcast by the roadside unit to all vehicles in range.
communication will send it to a roadside unit if they did not receive a warning message with the same event ID from roadside units.
@OpenStack
Next?
OpenStackFoundation
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
range is approximately 50 metres.
deployed every 200 m
(Transit)
20
@OpenStack
Next?
OpenStackFoundation
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
Typical AU function & features
signalling for VANET messages to other vehicles (V2V)
like (road blocks, lane restrictions, accident, etc). These applications should be dynamically deployed.
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))
requires VN, VM, VS (Nova/Neutron/Cinder/Ceph/Swift)
Continue.
Emerging Microservices Proposals For DC - Cloudlet For State Management - Statelet For Edge Network - Netlet Evolving For Orchestration/ZUN, Kuryr, Magnum Evolving For Image Management
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
@OpenStack
Questions?
OpenStackFoundation
Typical RSU/ RSU-C(2U-20U) specs (Medium)
LS2085 having 8 Cortex A-57 CPUs NXP processors]
DSRC)
Typical OBU specs (Small)
using 802.11p WAVE