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Publication  de  la  collection  HAL LS2N-STACK  pour  2024

Nombre de publications retournées : 33


Récapitulatif du nombre de publications de la collection par types
ART_INT
COMM_INT
COMM_NAT
THESE
AUTRES
917124

Revues internationales avec comité de lecture (ART_INT)

    • [1] E. Abisset-Chavanne, T. Coupaye, F. Golra, D. Lamy, A. Piel, O. Scart, P. Vicat-Blanc. A Digital Twin use cases classification and definition framework based on Industrial feedback. In Computers in Industry ; éd. Elsevier, 2024, vol. 161.
      https://cea.hal.science/cea-04607213v1
    • [2] O. Aouedi, T. Vu, A. Sacco, D. Nguyen, K. Piamrat, G. Marchetto, Q. Pham. A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions. In Communications Surveys and Tutorials, IEEE Communications Society ; éd. Institute of Electrical and Electronics Engineers, 2024.
      https://hal.science/hal-04811049v1
    • [3] P. Jacquet, T. Ledoux, R. Rouvoy. ScroogeVM: Boosting Cloud Resource Utilization with Dynamic Oversubscription. In IEEE Transactions on Sustainable Computing ; éd. IEEE, 2024.
      https://hal.science/hal-04466538v1
    • [4] H. Coullon, L. Henrio, F. Loulergue, S. Robillard. Component-Based Distributed Software Reconfiguration: a Verification-Oriented Survey. In ACM Computing Surveys ; éd. Association for Computing Machinery, 2024, vol. 56, num. 1.
      https://inria.hal.science/hal-04067909v1
    • [5] S. Brocard, M. Morin, N. dos Santos Brito Silva, B. Renaud-Picard, B. Coiffard, X. Demant, L. Falque, J. Le Pavec, A. Roux, T. Villeneuve, C. Knoop, J. Mornex, M. Salpin, V. Boussaud, O. Rousseau, V. Mauduit, A. Durand, A. Magnan, P. Gourraud, N. Vince, M. Südholt, A. Tissot, S. Limou. Description and first insights on a large genomic biobank of lung transplantation. In European Journal of Human Genetics ; éd. Nature Publishing Group, 2024.
      https://inserm.hal.science/inserm-04712234v1
    • [6] O. Aouedi, K. Piamrat. Toward a Scalable and Energy-Efficient Framework for Industrial Cloud-Edge-IoT Continuum. In IEEE Internet of Things Magazine ; éd. IEEE, 2024, vol. 7, num. 5.
      https://hal.science/hal-04811034v1
    • [7] H. Awad, A. Alidra, H. Bruneliere, T. Ledoux, J. Rivalan. VeriFog: A Generic Model-based Approach for Verifying Fog Systems at Design Time and Generating Deployment Configurations. In ACM SIGAPP applied computing review : a publication of the Special Interest Group on Applied Computing ; éd. Association for Computing Machinery (ACM), 2024, vol. 24, num. 3.
      https://hal.science/hal-04727206v1
    • [8] O. Aouedi, L. van An, K. Piamrat, Y. Ji. Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions. In ACM Computing Surveys ; éd. Association for Computing Machinery, 2024.
      https://hal.science/hal-04811081v1
    • [9] N. Pavlidis, V. Perifanis, S. Yilmaz, F. Wilhelmi, M. Miozzo, P. Efraimidis, R. Koutsiamanis, P. Mulinka, P. Dini. Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting. In IEEE Transactions on Sustainable Computing ; éd. IEEE, 2024, num. 2377-3782.
      https://hal.science/hal-04885759v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

    • [10] J. Philippe, A. Omond, H. Coullon, C. Prud'Homme, I. Raïs. Fast Choreography of Cross-DevOps Reconfiguration with Ballet: A Multi-Site OpenStack Case Study. In SANER 2024 - IEEE International Conference on Software Analysis, Evolution and Reengineering, mars 2024, Rovaniemi, Finlande.
      https://hal.science/hal-04457484v1
    • [11] H. Awad, A. Alidra, H. Bruneliere, T. Ledoux, E. Leclerq, J. Rivalan. VeriFog: A Generic Model-based Approach for Verifying Fog Systems at Design Time. In SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, avril 2024, Avila, Espagne.
      https://hal.science/hal-04332046v1
    • [12] Y. Xia, X. Etchevers, L. Letondeur, T. Coupaye, F. Desprez. Optimizing Cloud Application Scheduling: A Dual-Stage Heuristic Approach. In ICCCBDA 2024 - 9th International Conference on Cloud Computing and Big Data Analytics, avril 2024, Chengdu, Chine.
      https://hal.science/hal-04886644v1
    • [13] D. Balouek, J. Pettré. Collaborative services for Crowd Safety systems across the Edge-Cloud Computing Continuum. In CCGridW 2024 - IEEE 24th International Symposium on Cluster, Cloud and Internet Computing Workshops, mai 2024, Philadelphia, France.
      https://hal.science/hal-04775145v1
    • [14] G. Antony, M. Delavergne, A. Lebre, M. Rakotojaona Rainimangavelo. Thinking out of replication for geo-distributing applications: the sharding case. In ICFEC 2024 - 8th IEEE International Conference on Fog and Edge Computing, mai 2024, Philadelphia, états-Unis.
      https://inria.hal.science/hal-04522961v1
    • [15] P. Jacquet, T. Ledoux, R. Rouvoy. SweetspotVM: Oversubscribing CPU without Sacrificing VM Performance. In CCGrid'24 - 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing, mai 2024, Philadelphia, états-Unis.
      https://hal.science/hal-04454043v1
    • [16] Y. Hellal, L. Hamel, M. Graiet, D. Balouek. A Formal Modeling and Verification Approach for IoT-Cloud Resource-Oriented Applications. In CCGrid 2024 - IEEE 24th International Symposium on Cluster, Cloud and Internet Computing, mai 2024, Philadelphia, états-Unis.
      https://hal.science/hal-04775142v1
    • [17] S. Ilager, D. Balouek, S. Kaddour, I. Brandic. Proteus: Towards Intent-driven Automated Resource Management Framework for Edge Sensor Nodes. In FlexScience'24: Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, juin 2024, Pisa, Italie.
      https://hal.science/hal-04775138v1
    • [18] O. Aouedi, K. Piamrat. SURFS: Sustainable IntrUsion Detection with HieraRchical Federated Spiking Neural Networks. In ICC 2024 - IEEE International Conference on Communications, juin 2024, Denver, états-Unis.
      https://hal.science/hal-04811219v1
    • [19] F. Arfi, H. Coullon, F. Loulergue, J. Philippe, S. Robillard. An Overview of the Decentralized Reconfiguration Language Concerto-D through its Maude Formalization. In ICE 2024 - 17th Interaction and Concurrency Experience, juin 2024, Groningen, Pays-Bas.
      https://inria.hal.science/hal-04572043v1
    • [20] G. Rosinosky, D. Schmitz, E. Rivière. StreamBed: Capacity Planning for Stream Processing. In DEBS 2024 - 18th ACM International Conference on Distributed and Event-based Systems, juin 2024, Lyon, France.
      https://hal.science/hal-04708354v1
    • [21] O. Aouedi, G. Jajoo, K. Piamrat. METALS : seMi-supervised fEderaTed Active Learning for intrusion detection Systems. In ISCC 2024 - 29th IEEE Symposium on Computers and Communications, juin 2024, Paris, France.
      https://hal.science/hal-04811225v1
    • [22] D. Balouek. Performance-cost trade-offs in service orchestration for edge computing. In SSDBM 2024 - 36th International Conference on Scientific and Statistical Database Management, juillet 2024, Rennes, France.
      https://hal.science/hal-04775133v1
    • [23] D. Ngo, K. Piamrat, O. Aouedi, T. Hassan, P. Raipin. FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), septembre 2024, Valencia (Espagne), Espagne.
      https://hal.science/hal-04573168v1
    • [24] A. Mokhtari, B. Jonglez, T. Ledoux. Towards Digital Sustainability: Involving Cloud Users as Key Players. In IC2E 2024 - 12th IEEE International Conference on Cloud Engineering, septembre 2024, Paphos, Chypre.
      https://hal.science/hal-04633237v1
    • [25] P. Jacquet, T. Ledoux, R. Rouvoy. SLACKVM: Packing Virtual Machines in Oversubscribed Cloud Infrastructures. In 2024 CLUSTER - IEEE International Conference on Cluster Computing, septembre 2024, Kobe, Japon.
      https://hal.science/hal-04636648v1
    • [26] D. De Lacour, M. Lacoste, M. Südholt, J. Traoré. Ti-skol: A Modular Federated Learning Framework Supporting Security Countermeasure Composition. In Big Data 2024 - Special Session on Federated Learning on Big Data, décembre 2024, Washington DC, états-Unis.
      https://hal.science/hal-04760901v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

    • [27] R. Koutsiamanis, J. Menaud, C. Mommessin. Ordonnancement de Tâches avec Précédences sur Plateforme Edge-Cloud Alimentée par des Sources d'Energie Verte. In ROADEF 2024 - 25ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, mars 2024, Amiens, France.
      https://hal.science/hal-04885928v1

Theses et HDR (THESE)

    • [29] G. Antony. Cheops reloaded, further steps in decoupling geo-distribution from application business logic : a focus on externalised sharding collaboration, consistency and dependency. Thèses : Ecole nationale supérieure Mines-Télécom Atlantique.
      https://theses.hal.science/tel-04917025v1

Autres publications (AUTRES)

    • [30] T. An, M. Potop-Butucaru, S. Tixeuil, S. Fdida. ABD-HFL: Byzantine-resistant Decentralized Hierarchical Federated Learning. Rapport technique, 2024 ; LIP6, Sorbonne Université, CNRS, UMR 7606.
      https://cnrs.hal.science/hal-04627430v1
    • [32] R. Ferreira da Silva, D. Bard, K. Chard, S. de Witt, I. Foster, T. Gibbs, C. Goble, W. Godoy, J. Gustafsson, U. Haus, S. Hudson, S. Jha, L. Los, D. Paine, F. Suter, L. Ward, S. Wilkinson, M. Amaris, Y. Babuji, J. Bader, R. Balin, D. Balouek, S. Beecroft, K. Belhajjame, R. Bhattarai, W. Brewer, P. Brunk, S. Caino-Lores, H. Casanova, D. Cassol, J. Coleman, T. Coleman, I. Colonnelli, A. Da Silva, D. de Oliveira, P. Elahi, N. Elfaramawy, W. Elwasif, B. Etz, T. Fahringer, W. Ferreira, R. Filgueira, J. Fosso Tande, L. Gadelha, A. Gallo, D. Garijo, Y. Georgiou, P. Gritsch, P. Grubel, A. Gueroudji, Q. Guilloteau, C. Hamalainen, R. Hong Enriquez, L. Huet, K. Hunter Kesling, P. Iborra, S. Jahangiri, J. Janssen, J. Jordan, S. Kanwal, L. Kunstmann, F. Lehmann, U. Leser, C. Li, P. Liu, J. Luettgau, R. Lupat, J. M. Fernandez, K. Maheshwari, T. Malik, J. Marquez, M. Matsuda, D. Medic, S. Mohammadi, A. Mulone, J. Navarro, K. Ng, K. Noelp, B. P. Kinoshita, R. Prout, M. R. Crusoe, S. Ristov, S. Robila, D. Rosendo, B. Rowell, J. Rybicki, H. Sanchez, N. Saurabh, S. Saurav, T. Scogland, D. Senanayake, W. Shin, R. Sirvent, T. Skluzacek, B. Sly-Delgado, S. Soiland-Reyes, A. Souza, R. Souza, D. Talia, N. Tallent, L. Thamsen, M. Titov, B. Tovar, K. Vahi, E. Vardar-Irrgang, E. Vartina, Y. Wang, M. Wouters, Q. Yu, Z. Al Bkhetan, M. Zulfiqar. Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. Rapport technique, 2024 ; Oak Ridge National Laboratory, USA.
      https://hal.science/hal-04902062v1
    • [33] M. Ghamri, M. Lacoste, D. De Lacour. Disaggregation Patterns for Secure AI Systems. In HPEC 2024 - 28th Annual IEEE High Performance Extreme Computing Virtual Conference, septembre 2024, Boston (MA), états-Unis.
      https://inria.hal.science/hal-04717976v1
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