Algorithmic Aspects of Cloud Computing
Springer International Publishing (Verlag)
978-3-032-13743-2 (ISBN)
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This volume, LNCS 16349, constitutes revised selected papers from the 10th International Symposium on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2025, held in Warsaw, Poland, during September 15 16, 2025.
The 10 full papers included in this book were carefully reviewed and selected from 15 submissions. The proceedings focus on theoretical, design, and implementation aspects of modern cloud-based systems.
A Federated Learning Approach for Predicting Marine Heat Waves.- Cooper: A Lightweight Event Recording and Visualization Framework for Data Center.- SPiomlicuyla Atiognesnts for Zero-Trust Kubernetes: A Comprehensive Survey.- Constrained Adaptive Partial Training for Federated Learning on Heterogeneous Clients.- Split Learning based GAN training for non-IID Federated Learning.- Task Orchestration in the Cloud Continuum via Multi-objective Evolutionary Algorithms.- Duplication-Based Workflow Scheduling with Communication Awareness for Heterogeneous.- Secure Management of a Water Distribution Network in Multi-tenant Scenarios.- A Comparative Study of Local Community Detection Algorithms in Static Graphs.- Renting Servers in the Cloud: Empirical Study on Real-World Data.
| Erscheint lt. Verlag | 25.1.2026 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | VII, 155 p. 41 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Schlagworte | Cloud-Edge Continuum • Data Center Management • Decentralized Systems • Distributed Machine Learning • Distributed Storage and Caching • Dynamic Networks • federated learning • Fog and Edge Computing • internet of things • Mobile Edge Computing • Performance Evaluation • Privacy and Security • resource management and scheduling • Serverless Computing • stream processing |
| ISBN-10 | 3-032-13743-8 / 3032137438 |
| ISBN-13 | 978-3-032-13743-2 / 9783032137432 |
| Zustand | Neuware |
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