Buch, Englisch, 231 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 376 g
8th International Symposium, ALGOCLOUD 2023, Amsterdam, The Netherlands, September 5, 2023, Revised Selected Papers
Buch, Englisch, 231 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 376 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-49360-7
Verlag: Springer
The 13 full papers included in this book were carefully reviewed and selected from 24 submissions. They focus on algorithmic aspects of computing and data management in modern cloud-based systems interpreted broadly so as to include edge- and fog-based systems, cloudlets, cloud micro-services, virtualization environments, decentralized systems, as well as dynamic networks.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
Weitere Infos & Material
Planning workflow executions over the Edge-to-Cloud Continuum.- On-Field Leaf Infection Detection using the Cloud-Edge Continuum.- Application of Federated Learning techniques for arrhythmia classification using 12- lead ECG signals.- An Adaptive, Energy-Efficient DRL-based and MCMC-based Caching Strategy for IoT Systems.- Real-Time Leakage Zone Detection in Water Distribution Networks: A Machine Learning-based Stream Processing Algorithm.- Multi-agent reinforcement learning-based energy orchestrator for cyber-physical systems.- Clustering-based Numerosity Reduction for Cloud Workload Forecasting.- Algorithmic Aspects of Distributed Hash Tables on Cloud, Fog, and Edge Computing Applications: A Survey.- i-Deliver P&D Engine: A Decentralized Middleware for a Delivery-as-a-Service System.- Intent-based Allocation of Cloud Computing Resources Using Q-Learning.- A Double-decision Reinforcement Learning based Algorithm for Online Scheduling in Edge and Fog Computing.- Decentralized Algorithms for Efficient Energy Management over Cloud-Edge Infrastructures.
