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9th FMEC 2024: Malmö, Sweden
- 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC), Malmö, Sweden, September 2-5, 2024. IEEE 2024, ISBN 979-8-3503-6648-8
- Slawomir Nowaczyk, Kurt Tutschku:
Message from Kurt Tutschku and Slawomir Nowaczyk, FMEC Chairs. 1
Keynotes
- Daniela Nicklas:
Smart Cities - A Play Ground for Fog, Mobile Edge, and IOT-based Computing? 1 - Johan Eker:
Cloudy with a Chance of Offloading: The Lighter Side of Edge Computing. 1 - Daniel J. Beutel:
Federated Learning for IoT. 1 - Fabio Paternò:
Human Control in Daily Environment Automations. 1
Papers
- Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar:
Harnessing Temporal Information for Efficient Edge AI. 5-13 - Ahmed Chebaane, Abdelmajid Khelil, Makki Ben Salem, Bchira Ben Mabrouk:
Effective Timing for Reserving Fog Computational Resources for Time-Sensitive Vehicular Applications. 14-21 - Antero Taivalsaari:
Haywire - A System for Visualizing and Analyzing Streaming IoT Data. 22-29 - Saeedeh Baneshi, Anuj Pathania, Benny Akesson, Andy D. Pimentel, Ana Lucia Varbanescu:
Analyzing Per-Application Energy Consumption in a Multi-Application Computing Continuum. 30-37 - Kahlan Aljobory, Mehmet Akif Yazici:
A Comparative Study for Server Selection Schemes in Multiserver Mobile Edge Computing. 38-45 - Ganesan Nagabushnam, Yundo Choi, Kyong Hoon Kim:
FODAS: A Novel Reinforcement Learning Approach for Efficient Task Scheduling in Fog Computing Network. 46-53 - Oscar Cederlund, Sadi Alawadi, Feras M. Awaysheh:
LLMRAG: An Optimized Digital Support Service using LLM and Retrieval-Augmented Generation. 54-62 - Daria Alekseeva, Aleksandr Ometov:
Hybrid Edge-Cloud Computational Offloading for XR Medical Applications. 63-68 - Sharief Abdel-Razeq, Ayat Al-Khdouer, Haythem Bany Salameh, Yaser Jararweh, Ghaleb A. Elrefae:
Artificial Intelligence-Driven Unmanned Aerial Vehicle Base Station Placement: Current Advances, Challenges, and Use Case. 69-73 - Antero Vainio, Sasu Tarkoma:
Flow Control Solution to Avoid Bottlenecks in Edge Computing for Video Analytics. 74-81 - David Schuster, Marc Hesenius, Volker Gruhn:
Mobile Application Placement in Multi-access Edge Computing Environments. 82-89 - Syafiq Al Atiiq, Christian Gehrmann, Yachao Yuan, Jakob Sternby:
AutoML in the Face of Adversity: Securing Mobility Predictions in NWDAF. 90-98 - Marc Rothmann, Mario Porrmann:
FPGA-based Acceleration of Deep Q-Networks with STANN-RL. 99-106 - Helen D. Karatza:
Scheduling Linear Workflows with Multicriteria based Partial Computations in a Cloud-Fog-Mist Environment. 107-113 - Victor Arvidsson, Sadi Alawadi, Martin Boldt, Ola Angelsmark, Fanny Söderlund:
A Novel Approach for Intrusion Detection using Online Federated Learning on Streaming Data. 114-121 - Scott Fowler, Sami Souihi:
Optimizing QoE for Virtual Reality Games on Mobile Edge Networks. 122-129 - Jonne van Dreven, Abbas Cheddad, Sadi Alawadi, Ahmad Nauman Ghazi, Jad Al Koussa, Dirk Vanhoudt:
SHEDAD: SNN-Enhanced District Heating Anomaly Detection for Urban Substations. 130-137 - Antero Taivalsaari, Tommi Mikkonen:
On the Future of the Internet of Things: Revisiting the Roadmap to the Programmable World. 138-145 - Stanley Chukwuebuka Nwabuona, Michael Stübert Berger, Sarah Renee Ruepp, Haorui Peng, Maria Kihl:
Evaluation of 5G Readiness for Critical Control of Remote Devices. 146-153 - Emiliano Casalicchio, Danilo Magliarisi:
Decentralized Task Scheduling in Satellite Edge Computing. 154-161 - Lucía Cuadrillero Paredes, Ángel Luis Perales Gómez, Óscar Cánovas, Lorenzo Fernández Maimó, Félix J. García Clemente:
Advancing Threat Detection in Fog Computing: A Comprehensive Approach to Real-Time Analysis and Model Generation. 162-169 - Mustafa Daraghmeh, Yaser Jararweh, Anjali Agarwal:
Leveraging RF Signal Transformation and Sigmoid Calibration for Optimized Drone Class Prediction. 170-175 - Ahmed Chebaane, Muhammad Kamran Arshad, Florian Burger, Abdelmajid Khelil:
A Layered Strategy for Reducing Offloading Latency in Fog Computing. 176-182 - Kyeongeun Seo, Chang-Mo Yang, Dongchil Kim:
Towards Efficient Edge Computing: Optimizing Lightweight Models for Weather Classification. 183-184 - Moustafa Faheem, Vishal Sharma, Adrian Murphy, Carlos Reaño:
Accelerating scalable manufacturing models with Discrete Event Simulation as-a-service. 185-189 - Ichiro Satoh:
A General-Purpose Middleware System for Edge-side Data Processing. 190-195 - Mahdieh Kamalian, Amir Taherkordi, Paulo Ferreira:
TeLeGaIT: Transfer Learning on Fog for Generalizable and Real-Time Transport Mode Detection. 196-203 - Shereen ElSayed, Chandra Krintz, Rich Wolski:
Just the FACTS: Flexible and Energy Efficient Federated Access Control for the Edge. 204-211 - Md. Raihan Uddin, Abu Asaduzzaman:
Pairing Computations at the Edge and Cloud Servers to Improve Performance of Heterogeneous Systems. 212-219 - Juan Jesús Losada Del Olmo, Ángel Luis Perales Gómez, Pedro E. López-de-Teruel Alcolea, Alberto Ruiz García, Félix J. García Clemente:
Enhacing Logistics with Computer Vision and Fog Computing-Driven Auto-ID Technologies. 220-227 - Ibe Van Thillo, Zeeshan Hameed, Claus Pahl:
Multi-Factor Trust Management in Distributed Storage Networks based on Capacity and Behavior. 228-236 - Safa Bendaouia, Ahmed Lounis, Abdelmadjid Bouabdallah:
Green, scalable and efficient IoT architecture. 237-244 - Shubham Singh, Cristina Hava Muntean, Shaguna Gupta:
Boosting Microservice Resilience: An Evaluation of Istio's Impact on Kubernetes Clusters Under Chaos. 245-252 - Gustav Nilsson, Martin Boldt, Sadi Alawadi:
The Role of the Data Quality on Model Efficiency: An Exploratory Study on Centralised and Federated Learning. 253-260 - David Martínez Casas, Andrea Rey Presas, José M. Cotos Yáñez, José Ángel Taboada González:
Architecture proposal for adding FOG processing capability to a Smart Building Management System. 261-267 - Sajad Khosravi, Christoph W. Kessler, Sebastian Litzinger, Jörg Keller:
Energy-Efficient Scheduling of Moldable Streaming Computations for the Edge-Cloud Continuum. 268-276
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