Buch, Englisch, 161 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 271 g
9th International Symposium, ALGOCLOUD 2024, London, UK, September 2-3, 2024, Revised Selected Papers
Buch, Englisch, 161 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 271 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-94676-9
Verlag: Springer Nature Switzerland
This book constitutes the refereed proceedings of the 9th International Symposium on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2024, held in London, UK, during September 2024.
The 9 full papers and 1 short paper presented here were carefully reviewed and selected from 18 submissions.They focus on various topics in the emerging area of algorithmic aspects of Computing and data management in modern Cloud-based systems.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
Weitere Infos & Material
.- ALGOCLOUD 2024.
.- Innovating Medical Record Keeping with Blockchain, RSA-Encrypted NFTs, and Smart Contracts.
.- Towards 2-Resilient Local Failover in Destination-Based Routing.
.- Dynamic Accountable Storage: An Efficient Protocol for Real-time Cloud Storage Auditing.
.- Achieving Processing Balance in LoRaWAN Using Multiple Edge Gateways.
.- Optimizing resource-constrained distance matching for cloud based systems.
.- Edge-based Federated Learning Methods for Remaining Useful Life Estimation in IIoT.
.- Degree Distribution Optimization in Historical Graphs.
.- Leveraging Apache Spark for Appliance-Level Load Monitoring with Ensemble Learning Techniques.
.- QuantuML: Machine Learning Algorithms and K-means on Quantum Cloud offering.
.- Outsourced Distributed Computation with PROOF.
.- ALGOCLOUD 2022.
.- Edge-Enabled Machine Learning for Solar Power Production Forecasting.