Algorithmic Aspects of Cloud Computing: 9th International Symposium, ALGOCLOUD 2024, London, UK, September 2–3, 2024, Revised Selected Papers

Author:   Katerina Doka ,  Eirini Eleni Tsiropoulou
Publisher:   Springer International Publishing AG
Volume:   15455
ISBN:  

9783031946769


Pages:   161
Publication Date:   17 June 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Algorithmic Aspects of Cloud Computing: 9th International Symposium, ALGOCLOUD 2024, London, UK, September 2–3, 2024, Revised Selected Papers


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Overview

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.

Full Product Details

Author:   Katerina Doka ,  Eirini Eleni Tsiropoulou
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   15455
ISBN:  

9783031946769


ISBN 10:   3031946766
Pages:   161
Publication Date:   17 June 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

.- 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.

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