Algorithmic Aspects of Cloud Computing
8th International Symposium, ALGOCLOUD 2023, Amsterdam, The Netherlands, September 5, 2023, Revised Selected Papers
Published on 14. December 2023
Book
Paperback/Softback
X, 231 pages
978-3-031-49360-7 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2024
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
5 s/w Abbildungen, 66 farbige Abbildungen
X, 231 p. 71 illus., 66 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
376 gr
ISBN-13
978-3-031-49360-7 (9783031493607)
DOI
10.1007/978-3-031-49361-4
Schweitzer Classification
Other editions
Additional editions
Ioannis Chatzigiannakis | Ioannis Karydis
Algorithmic Aspects of Cloud Computing
8th International Symposium, ALGOCLOUD 2023, Amsterdam, The Netherlands, September 5, 2023, Revised Selected Papers
E-Book
12/2023
Springer
€69.54
Available for download
Content
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.