{"id":6929,"date":"2025-10-31T09:25:23","date_gmt":"2025-10-31T08:25:23","guid":{"rendered":"https:\/\/samovar.telecom-sudparis.eu\/?p=6929"},"modified":"2025-10-31T09:25:24","modified_gmt":"2025-10-31T08:25:24","slug":"avis-de-soutenance-de-monsieur-rosario-patane","status":"publish","type":"post","link":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/2025\/10\/31\/avis-de-soutenance-de-monsieur-rosario-patane\/","title":{"rendered":"Avis de Soutenance de Monsieur Rosario PATAN\u00c9"},"content":{"rendered":"\n

Avis de Soutenance<\/strong><\/p>\n\n\n\n

Monsieur Rosario PATAN\u00c9<\/p>\n\n\n\n

Sciences des r\u00e9seaux, de l’information et de la communication<\/p>\n\n\n\n

Soutiendra publiquement ses travaux de th\u00e8se intitul\u00e9s<\/p>\n\n\n\n

\u00c9valuation technique, \u00e9nerg\u00e9tique, \u00e9conomique et environnementale du calcul v\u00e9hiculaire et du Edge Computing<\/em><\/p>\n\n\n\n

dirig\u00e9s par Madame Lila BOUKHATEM, Universit\u00e9 Paris-Saclay<\/p>\n\n\n\n

encadr\u00e9 par Andrea Araldo, T\u00e9l\u00e9com SudParis<\/p>\n\n\n\n

encadr\u00e9 par Nadjib Achir, INRIA Saclay<\/p>\n\n\n\n



Soutenance pr\u00e9vue le mardi 04 novembre 2025 <\/em><\/strong>\u00e0 14h00
Lieu :   Rue Ren\u00e9 Thom, Batiment 650, Digiteo, 91190, Gif-sur-Yvette
Salle : des Th\u00e8ses, n\u00b0435
URL salle virtuelle :
https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_NTQ4Yjk3OTEtNTI3My00NjkzLTlkMTYtODU5NWU2ODlhYTc0%40thread.v2\/0?context=%7b%22Tid%22%3a%2268cdfebb-157b-4846-ba2f-d196a9124ac0%22%2c%22Oid%22%3a%2290a9fc47-7260-43af-a260-4b6e64661e3d%22%7d<\/a>

Composition du jury propos\u00e9<\/strong><\/p>\n\n\n\n

M. Marcelo DIAS DE AMORIM <\/td>CNRS, LIP6, Sorbonne Universit\u00e9 <\/td>Rapporteur<\/td><\/tr>
M. Riadh  DHAOU <\/td>Institut National Polytechnique de Toulouse <\/td>Rapporteur<\/td><\/tr>
Mme Kinda  KHAWAM <\/td>Universit\u00e9 Paris-Saclay <\/td>Examinatrice<\/td><\/tr>
M. Claudio Enrico PALAZZI <\/td>Universit\u00e0 degli Studi di Padova <\/td>Examinateur<\/td><\/tr>
M. Laurent ROULLET <\/td>Nokia Bell Labs France \u2013 Paris-Saclay <\/td>Invit\u00e9<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
Mots-cl\u00e9s :<\/strong><\/td>Cloud v\u00e9hiculaire,cloud computing,r\u00e9seaux v\u00e9hiculaires,edge computing,investissement au edge,5G<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
R\u00e9sum\u00e9 :<\/strong><\/td><\/tr>
Cette th\u00e8se \u00e9tudie la faisabilit\u00e9 technique, \u00e9conomique et environnementale des architectures de calcul pour le support d\u2019applications sensibles au d\u00e9lai, telles que la R\u00e9alit\u00e9 Augment\u00e9e (AR) et la Conduite Autonome (AD). Bien que le Cloud Computing (CC) constitue aujourd\u2019hui le paradigme dominant, il ne peut garantir une latence suffisamment faible. Cette limitation est surmont\u00e9e par l\u2019Edge Computing (EC), qui consiste \u00e0 d\u00e9ployer des capacit\u00e9s de calcul \u00e0 la p\u00e9riph\u00e9rie du r\u00e9seau d\u2019acc\u00e8s. Toutefois, l\u2019EC implique des co\u00fbts d\u2019infrastructure \u00e9lev\u00e9s et soul\u00e8ve des pr\u00e9occupations environnementales, li\u00e9es notamment au cycle de vie court des \u00e9quipements \u00e9lectroniques (environ quatre ans) et \u00e0 l\u2019augmentation de la consommation \u00e9nerg\u00e9tique. Parall\u00e8lement, le nombre de v\u00e9hicules connect\u00e9s ne cesse de cro\u00eetre. Ces v\u00e9hicules embarquent d\u00e9j\u00e0 des ressources de calcul et de communication qui peuvent \u00eatre exploit\u00e9es de mani\u00e8re opportuniste, non seulement pour les t\u00e2ches li\u00e9es \u00e0 la conduite, mais aussi pour le d\u00e9lestage de calcul en provenance de dispositifs externes, tels que les smartphones, ordinateurs portables ou appareils de sant\u00e9 portables des utilisateurs finaux. Ces ressources disponibles dans les v\u00e9hicules peuvent \u00eatre g\u00e9r\u00e9es selon le paradigme du Vehicular Cloud Computing (VCC). Nous analysons tout d\u2019abord la faisabilit\u00e9 \u00e9conomique du d\u00e9ploiement de l\u2019Edge Computing \u00e0 l\u2019aide d\u2019un mod\u00e8le fond\u00e9 sur la th\u00e9orie des jeux, en montrant comment la coop\u00e9ration multi-acteurs peut att\u00e9nuer les co\u00fbts \u00e9lev\u00e9s de d\u00e9ploiement. Ensuite, nous \u00e9valuons dans quelles conditions le VCC peut remplacer l\u2019EC, c\u2019est-\u00e0-dire dans quelle mesure le d\u00e9lestage de t\u00e2ches vers les v\u00e9hicules peut offrir des performances comparables \u00e0 celles de l\u2019EC. Les r\u00e9sultats sont obtenus \u00e0 partir de simulations de mobilit\u00e9 et de r\u00e9seau \u00e0 haute fid\u00e9lit\u00e9, dans un sc\u00e9nario de r\u00e9seau mobile. Nous montrons que le VCC peut atteindre une latence ultra-faible, de l\u2019ordre de 10~ms, m\u00eame lorsque les v\u00e9hicules sont faiblement distribu\u00e9s. Une analyse comparative des co\u00fbts r\u00e9v\u00e8le que remplacer l\u2019EC par le VCC permet de r\u00e9duire les d\u00e9penses d\u2019infrastructure d\u2019environ 10% sur cinq ans. Enfin, nous proposons un sch\u00e9ma de gestion du VCC visant \u00e0 optimiser la consommation \u00e9nerg\u00e9tique, les \u00e9missions de carbone et \u00e0 calculer une r\u00e9partition \u00e9quitable des revenus g\u00e9n\u00e9r\u00e9s par les t\u00e2ches des utilisateurs finaux. Ce sch\u00e9ma est bas\u00e9 sur la programmation math\u00e9matique et la th\u00e9orie des jeux coop\u00e9ratifs. \u00c0 travers une simulation de Monte-Carlo, nous montrons que la consommation \u00e9nerg\u00e9tique imputable au VCC repr\u00e9sente moins de 0,1% de la consommation totale du v\u00e9hicule dans des sc\u00e9narios r\u00e9alistes, et que les propri\u00e9taires de v\u00e9hicules re\u00e7oivent des incitations substantielles \u00e0 participer \u00e0 l\u2019ex\u00e9cution des t\u00e2ches. En r\u00e9sum\u00e9, cette th\u00e8se d\u00e9montre la faisabilit\u00e9 des architectures de r\u00e9seaux mobiles de nouvelle g\u00e9n\u00e9ration, telles que l\u2019Edge Computing et le Vehicular Cloud Computing, pour le support d\u2019applications \u00e0 tr\u00e8s faible latence.<\/td><\/tr>
<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

——————————————————————————–English Version—————————————————————————<\/p>\n\n\n\n

Thesis Defense Announcement<\/strong><\/p>\n\n\n\n

Mr Rosario PATAN\u00c9<\/p>\n\n\n\n

Networks, Information and Communication Sciences<\/p>\n\n\n\n

will publicly defend his doctoral dissertation entitled<\/p>\n\n\n\n

Technical, Economic and Environmental Evaluation of Vehicular and Edge Computing<\/em><\/p>\n\n\n\n

Thesis Director: Lila BOUKHATEM, Universit\u00e9 Paris-Saclay<\/p>\n\n\n\n

Supervisor: Andrea Araldo, T\u00e9l\u00e9com SudParis<\/p>\n\n\n\n

Supervisor:  Nadjib Achir, INRIA Saclay<\/p>\n\n\n\n

Date and Time:<\/strong> Tuesday, November 4th, 2025, at 2:00 PM<\/p>\n\n\n\n


Lieu :   Rue Ren\u00e9 Thom, Batiment 650, Digiteo, 91190, Gif-sur-Yvette
Salle  des Th\u00e8ses, n\u00b0435
URL salle virtuelle :
https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_NTQ4Yjk3OTEtNTI3My00NjkzLTlkMTYtODU5NWU2ODlhYTc0%40thread.v2\/0?context=%7b%22Tid%22%3a%2268cdfebb-157b-4846-ba2f-d196a9124ac0%22%2c%22Oid%22%3a%2290a9fc47-7260-43af-a260-4b6e64661e3d%22%7d<\/a>
<\/p>\n\n\n\n

Jury composition <\/strong><\/p>\n\n\n\n

M. Marcelo DIAS DE AMORIM <\/td>CNRS, LIP6, Sorbonne Universit\u00e9 <\/td>Reporter<\/td><\/tr>
M. Riadh  DHAOU <\/td>Institut National Polytechnique de Toulouse <\/td>Reporter<\/td><\/tr>
Mme Kinda  KHAWAM <\/td>Universit\u00e9 Paris-Saclay <\/td>Examiner<\/td><\/tr>
M. Claudio Enrico PALAZZI <\/td>Universit\u00e0 degli Studi di Padova <\/td>Examiner<\/td><\/tr>
M. Laurent ROULLET <\/td>Nokia Bell Labs France \u2013 Paris-Saclay <\/td>Invited Member<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Abstract:<\/strong><\/p>\n\n\n\n

This thesis investigates the technical, economic, and environmental feasibility of computing architectures supporting delay-sensitive applications such as Augmented Reality (AR) and Autonomous Driving (AD). While Cloud Computing (CC) is the prevalent paradigm today, it cannot offer sufficiently low latency. This limitation is addressed by Edge Computing (EC), which deploys computational capability at the edge of the access network. However, EC entails high infrastructure costs and raises environmental concerns due to the short lifecycle of electronic devices (around four years) and increased energy consumption. Meanwhile, the number of connected vehicles is steadily increasing. These vehicles already carry onboard computing and communication resources that can be opportunistically exploited not only for driving-related tasks but also for offloading computation from external devices such as smartphones, laptops, or wearable health devices. These resources can be managed under the Vehicular Cloud Computing (VCC) paradigm. In this thesis, we first analyze the economic feasibility of EC deployment through a game-theoretic model, showing how multi-tenant cooperation can mitigate high deployment costs. Then, we evaluate under which conditions VCC can replace EC, that is, whether offloading tasks to vehicles can provide performance comparable to EC. Results are obtained via high fidelity network and mobility simulations in an urban mobile network scenario. We find that VCC can achieve ultra low latency, around 10 ms, even when vehicles are sparsely distributed. A comparative cost analysis shows that replacing EC with VCC can reduce infrastructure expenditure by about 10 percent over five years. Finally, we propose a VCC management scheme that optimizes energy consumption, carbon emissions, and computes a fair allocation of revenues generated by end user tasks. The scheme is based on mathematical programming and coalitional game theory. Through Monte Carlo simulations, we show that the energy consumption attributable to VCC is below 0.1 percent of total vehicle consumption in realistic scenarios, and that vehicle owners receive substantial incentives to participate in task execution. Overall, this thesis demonstrates the feasibility of next generation mobile network architectures such as Edge Computing and Vehicular Cloud Computing for supporting ultra low latency applications.<\/p>\n","protected":false},"excerpt":{"rendered":"

Avis de Soutenance Monsieur Rosario PATAN\u00c9 Sciences des r\u00e9seaux, de l’information et de la communication Soutiendra publiquement ses travaux de th\u00e8se intitul\u00e9s \u00c9valuation technique, \u00e9nerg\u00e9tique, \u00e9conomique et environnementale du calcul v\u00e9hiculaire et du Edge Computing dirig\u00e9s par Madame Lila BOUKHATEM, Universit\u00e9 Paris-Saclay encadr\u00e9 par Andrea Araldo, T\u00e9l\u00e9com SudParis encadr\u00e9 par Nadjib Achir, INRIA Saclay Soutenance 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