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ORCID18th UCC 2025: Nantes, France
- Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2025, Nantes, France, December 1-4, 2025. ACM 2025, ISBN 979-8-4007-2285-1
- André Solino
, Thaís Batista, Everton Cavalcante:
An Autonomic Computing Approach for Scaling Cloud-Based Smart City Platforms. 1:1-1:10 - Gabriel Orion Kai Antar, Blesson Varghese:
InferEdge: Characterizing Edge Inference Performance. 2:1-2:10 - Yue Peng, Richard O. Sinnott:
A Hybrid Forecasting and Reinforcement Learning Approach for Latency-Constrained Scaling of Generative AI Systems. 3:1-3:9 - Gilvani Alves, Hana Karina Salles Rubinsztejn, Marco Aurelio Stefanes:
Performance Evaluation of Multi-CNIs in Fog Computing Across Ethernet and Wireless Networks. 4:1-4:10 - Po-Han Ho, Hong-Yen Chen, Tsung-Nan Lin:
Graphpilot: A Temporal Graph Actor-Critic Autoscaler Reducing Degradation of Resource Oscillation in Microservice. 5:1-5:10 - Clément Courageux-Sudan, Paul Townend, Atakan Aral:
Targeted and Fully Automated Updates Over LoRaWAN for Energy-Efficient Edge AI. 6:1-6:10 - Anosan Jayahanthan, Isuru Gunarathne, Charindu Thisara, Sunimal Rathnayake, Malith Jayasinghe:
A Self-Adaptive Framework for Predictive CPU Resource Allocation During Container Startup in Kubernetes. 7:1-7:10 - Saurabh Siddhanath Kulkarni, Waqar Haque, Andreas Hirt:
DTW-ABAC: A Dynamic Trust Weighted Attribute-Based Access Control Hybrid Security Model for Cloud Applications. 8:1-8:11 - Maitham Al-rubaye, Atakan Aral:
Secure-by-Design Hardware Architecture for Real-Time IoT with Cycle-Bounded Trust and Redundancy-Aware Sensor Fusion. 9:1-9:10 - Gökcan Cantali, Gürkan Gür, Burkhard Stiller:
FedSynthesis: A Flower-based Framework for Carbon-Reduced Federated Learning. 10:1-10:9 - Robert Cordingly, Xinghan Chen, Ling-Hong Hung, Wes Lloyd:
Sky Computing for Serverless: Infrastructure Assessment to Support Performance Enhancement. 11:1-11:10 - Abolfazl Younesi, Abbas Shabrang Maryan, Elyas Oustad, Zahra Najafabadi Samani, Mohsen Ansari, Thomas Fahringer:
Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL. 12:1-12:11 - Rosario Napoli, Gabriele Morabito, Antonio Celesti, Massimo Villari, Maria Fazio:
Knowledge Graphs-Driven Intelligence for Distributed Decision Systems. 13:1-13:10 - Gabriel Job Antunes Grabher, Fumio Machida, Thomas Ropars:
Modeling Anomaly Detection in Cloud Services: Analysis of the Properties that Impact Latency and Resource Consumption. 14:1-14:10 - Demetris Trihinas, Moysis Symeonides, Nicolae Cleju, George Pallis, Marios D. Dikaiakos:
FakeInf: Selective Deep Neural Network Inference for Latency and Energy-Aware Model Serving Pipelines. 15:1-15:10 - Yuankun Zhang, Zhaoxuan Zhang, Hengye Zhao:
Adaptive DNN Partitioning for Edge-Cloud Systems with Meta-Reinforcement Learning. 16:1-16:10 - Ahmed Ben Ali, Yann Labit, Bénoît Nougnanke, Jean-François Baffier:
Protocol-to-Model Translation Framework: Enabling Mathematically Tractable TCP Models for Autonomic Controller Design. 17:1-17:10 - Tomoharu Nono, Kenichi Kourai:
Secure Monitoring of Confidential VMs with Isolated Agents. 18:1-18:10 - Robin Mayerhofer, Andrea Morichetta, Alireza Furutanpey, Schahram Dustdar:
HPAQT: Adaptive and Interpretable High-level SLO-aware Autoscaling with Reinforcement Learning. 19:1-19:9 - Peini Liu, José Santos, Filip De Turck, Jordi Guitart:
GreenWise: Intelligent Application Migration for Containerized Machine Learning Services in the Computing Continuum. 20:1-20:11 - Shrijan Subedi, Satish Kumar, Nawar Jawad, Ah Lian Kor:
Energy-Aware Latency Optimization for Scheduling Serverless Workload in Edge Computing Environment. 21:1-21:10 - Thomas Collignon, Kouds Halitim, Raphaël Bleuse, Sophie Cerf, Bogdan Robu, Éric Rutten, Lionel Seinturier, Alexandre van Kempen:
Mitigating Shared Storage Congestion Using Control Theory. 22:1-22:10 - Lylian Siffre, Thomas Ledoux, Renaud Pawlak, John Guery:
Local Computing vs. Cloud Computing: An Empirical Study of Energy Consumption. 23:1-23:10 - Matteo Chancerel, Anne-Cécile Orgerie:
Life-cycle carbon assessment of intermittent Fog services fully powered by renewable energy sources. 24:1-24:10 - Maryam Pourreza, Priya Narasimhan:
When Timeouts Fail: Revisiting Fault Detection under Resource Stress in Edge Computing. 25:1-25:10 - Esma Yildirim, Mohab Hussein:
Time Series Models Revisited for Replica Transfer Optimization in Cloud Storage Systems. 26:1-26:6 - Sukwoo Jung, Youn-Sung Lee, Kyung-Taek Lee:
Real-Virtual Synchronized Localization in Autonomous Vehicle Testbeds Using SLAM and Virtual Simulation. 27:1-27:2 - Myeongseop Kim, Sukwoo Jung, Kyung-Taek Lee:
A Real-Time Pipeline for Digital-Twin Object Composition in Driving Videos using SAM2 and Adaptive Illumination. 28:1-28:2 - Ghulam Musa Raza, Byung-Seo Kim:
EdgeLearn-NDN: An Edge-Cloud Cooperative Continuous Learning Framework for NDN. 29:1-29:3 - Mickaël Germain, Manel Alayet:
A Hybrid GraphRAG Framework for Geospatial Contextualization in Decision Support Systems. 30:1-30:2 - Miguel Felipe Silva Vasconcelos, Rizos Sakellariou:
Balancing Sustainability and Performance when Running Large Language Models in the IoT-Edge-Cloud Computing Continuum. 31:1-31:3 - Piotr Kica, Michal Orzechowski, Maciej Malawski:
Towards LLM-assisted Execution Planning and Optimizing of Bioinformatics Batch Processing. 32:1-32:2 - Julien Beurrier, Christophe Josset, Yann Favennec, Benoît Parrein:
How data impacts coupled GPUs temperature prediction : a preliminary study based on synthetic data. 33:1-33:3 - Ryosuke Kobayashi, Mhd Irvan, Maharage Nisansala Sevwandi Perera, Franziska Zimmer, Rie Shigetomi Yamaguchi:
A Constant Authentication System Utilizing Smartphone-Derived Behavioral Data Across Multiple Services. 34:1-34:2 - Charles Alba:
Benchmarking Small Language Models in the Renewable Energy Domain. 35:1-35:2 - Aiganym Mansurova, Aigerim Mansurova, Aliya Kalykulova, Almas Alzhanov, Yermek Alimzhanov, Yerzhan Baiburin, Aliya Nugumanova:
Unsupervised Term Extraction in Highly Technical Domains: Models and Datasets for Low-Resource Kazakh and English Languages. 36:1-36:3 - Kods Trabelsi, Paul-Tiberiu Iordache, Nadir Tahir, Mihail Asavoae:
Exploring and Optimizing Moving Target Defense Strategies Using Reinforcement Learning. 37:1-37:10 - Arailym Tleubayeva, Zhansaya Makhambetova, Aigerim Mansurova, Adai Shomanov:
Enhancing Question Answering for Low-Resource Languages: The Case of Kazakh Language. 38:1-38:3 - Aymene Boucha, Carlos Gonzalez, Kandaraj Piamrat, Mario Südholt:
A model for Distributed Machine Learning. 39:1-39:2 - Martin Molli, Daniel Balouek, Paul Temple, Thomas Ledoux:
Event-Driven Adaptation in the Computing Continuum using software variability. 40:1-40:2 - Karim Djemame, Ben Norton:
Serverless Computing: An Empirical Evaluation of Application Performance and Power Consumption in Knative. 41:1-41:8 - Daniel Chisner, Anu Basil, Montana Braxton, Joel Coffman:
Countering Device Fingerprinting with Cloud Autoscaling. 42:1-42:6 - Rómulo Bustincio, Pedro Yuri Marquez Solis, Allan Mariano de Souza, Luiz F. Bittencourt:
FL-as-API: A Service-Oriented Architecture for Heterogeneous Federated Learning. 43:1-43:6 - Minghe Wang, Tobias Pfandzelter, Trever Schirmer, David Bermbach:
LLM4FaaS: No-Code Application Development using LLMs and FaaS. 44:1-44:8 - Pierluigi Dell'Acqua, Marco Garofalo, Francesco la Rosa, Massimo Villari:
Simplifying Federated Learning Deployment: Design and Implementation of the FLeeT Framework. 45:1-45:5 - Juan Aznar-Poveda, Stefan Pedratscher, Peter Burger, Abolfazl Younesi, Marlon Etheredge, Zahra Najafabadi Samani, Peter Thoman, Thomas Fahringer:
FedGuard: Leader-Aware Fault-Tolerant Federated Learning in the Cloud-Edge Continuum. 46:1-46:6 - Latifah Alsalem, Karim Djemame:
Task Scheduling in Edge Computing Environments: a Hierarchical Cluster-based Federated Deep Reinforcement Learning Approach. 47:1-47:8 - Juan Aznar-Poveda, Zahra Najafabadi Samani, Marco Cotrotzo, Jona Florian Müller, Philipp Gschwandtner, Thomas Fahringer:
DRAF: A Drift-Resilient Averaging in Federated Learning across the Cloud Edge Continuum. 48:1-48:6 - Fabian Hengstberger, Atakan Aral:
Reactive and Proactive Migration for Edge AI Training on Energy-Harvesting, Intermittently Powered Devices. 49:1-49:7 - Gustavo S. Guaragna, Joahannes B. D. Da Costa, Allan Mariano de Souza:
Federated Learning with Iterative Synthetic Data Augmentation. 50:1-50:6 - Dong Tang, Aniket Mahanti, Ranesh Naha, Vishwambhar Pathak, Mingwei Gong:
A Deep Learning Approach to Detecting Multiple Types of Sybil Nodes in VANETs. 51:1-51:8 - Mingwei Sun, Aniket Mahanti, Ranesh Naha, Vishwambhar Pathak, Mingwei Gong:
A Hybrid Graph Convolutional Networks Framework for Context-Aware Multimodal Human Activity Recognition. 52:1-52:4 - Ileet Malla, Thijs Metsch, Paul Townend:
Power Aware Cluster Orchestration: Taxonomy, Initial Results, and Challenges. 53:1-53:7 - Miguel De Lima, Luan Teylo, Lúcia M. A. Drummond:
Towards a Novel Vertical Scaling Approach for Bursty Workloads in Kubernetes. 54:1-54:6 - Nicole Giulianelli, Andrea Sabbioni, Sofia Montebugnoli, Armir Bujari, Antonio Corradi:
KOTO: A Kubernetes-Based Platform for Secure and Scalable OT Orchestration in Industry 5.0. 55:1-55:6 - Rafael de Oliveira Jarczewski, Eduardo Cerqueira, Luiz Fernando Bittencourt, Antonio A. F. Loureiro, Leandro A. Villas, Allan Mariano de Souza:
Participation is Power: Effective Approach to Dynamic Federated Learning. 56:1-56:6 - Nils Japke, Furat Hamdan, Diana Baumann, David Bermbach:
Investigating the Impact of Isolation on Synchronized Benchmarks. 57:1-57:7 - Sidi Mohammed Kaddour, Baptiste Jonglez, Daniel Balouek:
Application level observability for adaptive Edge to Cloud continuum systems. 58:1-58:6 - Danny De Novi, Lorenzo Carnevale, Daniel Balouek, Manish Parashar, Massimo Villari:
Predictive Resource Management in the Computing Continuum: Transfer Learning from Virtual Machines to Containers using Transformers. 59:1-59:8 - Nafiseh Kahani, Masoud Barati, Diana Addae, Chen Zhou, Diana Rogachova, Raymond Xiao:
Formal Design-Time Privacy & Consent Assurance for LLM-Based Applications for Children. 60:1-60:6 - Shubh Anand, Likhitha Kandregula, Tomasz Szydlo, Rajiv Ranjan, Devki Nandan Jha:
A Hybrid Monitoring Framework for Anomaly Detection in Smart Home IoT Devices. 61:1-61:6 - Kuniko Paxton, Koorosh Aslansefat, Dhavalkumar Thakker, Yiannis Papadopoulos:
Skewness-Guided Pruning of Multimodal Swin Transformers for Federated Skin Lesion Classification on Edge Devices. 62:1-62:6 - Shaoshu Zhu, Neil Hurley, Hadi Tabatabaee Malazi:
Does Energy-efficiency Mean Carbon-awareness? A Critical Evaluation of Sustainable Serverless Edge Scheduling. 63:1-63:6 - Edivaldo Pastori Valentini, Thiago Araujo Franco, Euclydes Nasorri Gottsfritz, Júlio Cezar Estrella, Lourenço Alves Pereira Júnior, Rodolfo Ipolito Meneguette:
Honeypot Embedded in Low-Cost IoT Hardware for Collecting and Analyzing Real-World Cyber Threats. 64:1-64:6 - Mostafa Anoosha, Zeinab Dehghani, Kuniko Paxton, Koorosh Aslansefat, Dhavalkumar Thakker:
HybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification. 65:1-65:6 - Lauri Lovén, Reza Farahani, Ilir Murturi, Stephan Sigg, Schahram Dustdar:
Agentic Edge Intelligence: A Research Agenda. 66:1-66:5 - Pierluigi Dell'Acqua, Francesco la Rosa, Massimo Villari:
Agentic Federated LLMs at the Edge for Promptable Guardrail Inspection with YOLO-E. 67:1-67:7
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