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Algorithmic Aspects of Cloud Computing 8th International Symposium, ALGOCLOUD 2023, Amsterdam, The Netherlands, September 5, 2023, Revised Selected Papers

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

This book constitutes revised selected papers from the 8th International Symposium on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2023, held in Amsterdam, The Netherlands, on September 5, 2023.  The 13 full papers included in this book were carefully reviewed and selected from 24 submissions. They...

Beschreibung

This book constitutes revised selected papers from the 8th International Symposium on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2023, held in Amsterdam, The Netherlands, on September 5, 2023. 
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.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

14.12.2023
Abbildungen

X, 231 p. 71 illus., 66 illus. in color.
Herausgeber Ioannis Chatzigiannakis + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

14.12.2023
Abbildungen

X, 231 p. 71 illus., 66 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

231
Maße (L/B/H)

23,5/15,5/1,4 cm
Gewicht

376 g
Auflage

1st ed. 2024
Sprache

Englisch
ISBN

978-3-031-49360-7
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Algorithmic Aspects of Cloud Computing
  • Produktbild: Algorithmic Aspects of Cloud Computing
  • 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.