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DESCRIPTION:Atonomous and connected vehicles are garnering increasing atten
 tion from a host of stakeholders that include researchers\, car manufactur
 ers and governments. These vehicles are enabled by a set of applications t
 hat gather and analyze data from their surrounding environment. Each of th
 ese applications\, also known as vehicle-to-everything (V2X) applications\
 , has very stringent delay and resource requirements that are needed to re
 alize the envisioned functionality of autonomous vehicles.\n\nThe proposed
  multi-component placement approach addresses these challenges by integrat
 ing edge computing environment and breaking down the applications into sep
 arate components known as services. The placement of these components is r
 ealized by an optimization model that considers the limited resources at t
 he edge\, delay requirements of vehicular applications\, and the resource 
 requirements of vehicular services.\n\nCo-sponsored by: Optimized Computin
 g and Communications (OC2) Laboratory\n\nSpeaker(s): Ibrahim Shaer\, \n\nL
 ondon\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/23679
 0
LOCATION:London\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.or
 g/m/236790
ORGANIZER:cesar-gomez@ieee.org
SEQUENCE:3
SUMMARY:Multi-Component V2X Applications Placement in Edge Computing Enviro
 nment
URL;VALUE=URI:https://events.vtools.ieee.org/m/236790
X-ALT-DESC:Description: <br /><p style="font-size: 11pt\; font-family: Cali
 bri\,sans-serif\; text-align: justify\; margin: 0\; text-justify: inter-id
 eograph\;"><span lang="en-US" style="font-size: 12pt\; font-family: Times 
 New Roman\,serif\;">A</span><span lang="en-US" style="font-size: 12pt\; fo
 nt-family: Times New Roman\,serif\;">tonomous and connected vehicles are g
 arnering increasing attention from a host of stakeholders that include res
 earchers\, car manufacturers and governments. These vehicles are enabled b
 y a set of applications that gather and analyze data from their surroundin
 g environment. Each of these applications\, also known as vehicle-to-every
 thing (V2X) applications\, has very stringent delay and resource requireme
 nts that are needed to realize the envisioned functionality of autonomous 
 vehicles. </span></p>\n<p style="font-size: 11pt\; font-family: Calibri\,s
 ans-serif\; text-align: justify\; margin: 0\; text-justify: inter-ideograp
 h\;">&nbsp\;</p>\n<p style="font-size: 11pt\; font-family: Calibri\,sans-s
 erif\; text-align: justify\; margin: 0\; text-justify: inter-ideograph\;">
 <span lang="en-US" style="font-size: 12pt\; font-family: Times New Roman\,
 serif\;">The proposed multi-component placement approach addresses these c
 hallenges by integrating edge computing environment and breaking down the 
 applications into separate components known as services. The placement of 
 these components is realized by an optimization model that considers the l
 imited resources at the edge\, delay requirements of vehicular application
 s\, and the resource requirements of vehicular services.</span></p>
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