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UID:823@lincs.fr
DTSTART;TZID=Europe/Paris:20240403T140000
DTEND;TZID=Europe/Paris:20240403T150000
DTSTAMP:20240318T140616Z
URL:https://www.lincs.fr/events/double-talk-can-edge-computing-fulfill-the
 -requirements-of-automated-vehicular-services-using-5g-network-can-vehicul
 ar-cloud-replace-edge-computing/
SUMMARY:Double talk : "Can Edge Computing fulfill the requirements of
 automated vehicular services using 5G network?" & "Can Vehicular Cloud
 Replace Edge Computing?"
DESCRIPTION:Abstract 1: Communication and computation services
 support-\ning Connected and Automated Vehicles (CAVs) are characterized\nby
 stringent requirements\, in terms of response time and
 reliability.\nFulfilling these requirements is crucial for ensuring
 road\nsafety and traffic optimization. The conceptually simple solution\nof
 hosting these services in the vehicles increases their cost\n(mainly due to
 the installation and maintenance of computation\ninfrastructure) and may
 drain their battery excessively. Such\ndisadvantages can be tackled via
 Multi-Access Edge Computing\n(MEC)\, consisting in deploying computation
 capability in network\nnodes deployed close to the devices (vehicles in
 this case)\,\nsuch as to satisfy the stringent CAV requirements.\nHowever\,
 it is not yet clear under which conditions MEC can\nsupport CAV
 requirements and for which services. To shed light\non this question\, we
 conduct a simulation campaign using well-\nknown open-source simulation
 tools\, namely OMNeT++\, Simu5G\,\nVeins\, INET\, and SUMO. We are thus
 able to provide a reality\ncheck on MEC for CAV\, pinpointing what are the
 computation\ncapacities that must be installed in the MEC\, to support
 the\ndifferent services\, and the amount of vehicles that a single
 MEC\nnode can support. We find that such parameters must vary a\nlot\,
 depending on the service considered. This study can serve\nas a preliminary
 basis for network operators to plan future\ndeployment of MEC to support
 CAV.\n\n\nAbstract 2: Edge computing (EC) consists of deploying
 com-\nputation resources close to the users\, thus enabling
 low-latency\napplications\, such as augmented reality and online
 gaming.\nHowever\, large-scale deployment of edge nodes can be
 highly\nimpractical and expensive. Besides EC\, there is a rising
 concept\nknown as Vehicular Cloud Computing (VCC). VCC is a com-\nputing
 paradigm that amplifies the capabilities of vehicles by\nexploiting part of
 their computational resources\, enabling them\nto participate in services
 similar to those provided by the EC.\nThe advantage of VCC is that it can
 opportunistically exploit\npart of the computation resources already
 present on vehicles\,\nthus relieving a network operator from the
 deployment and\nmaintenance cost of EC nodes. However\, it is still unknown
 under\nwhich circumstances VCC can enable low-latency applications\nwithout
 EC. In this work\, we show that VCC has the potential to\neffectively
 supplant EC in urban areas\, especially given the higher\ndensity of
 vehicles in such environments. The goal of this paper\nis to analyze\, via
 simulation\, the key parameters determining\nthe conditions under which
 this substitution of EC by VCC is\nfeasible. In addition\, we provide a
 high level cost analysis to\nshow that VCC is much less costly for a
 network operator than\nadopting EC.
CATEGORIES:Seminars
LOCATION:Room 4B01\, 19 place Marguerite Perey\, Palaiseau\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=19 place Marguerite Perey\,
 Palaiseau\, France;X-APPLE-RADIUS=100;X-TITLE=Room 4B01:geo:0,0
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
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DTSTART:20240331T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
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