Description

Book Synopsis

.- 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.

Algorithmic Aspects of Cloud Computing

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    £104.49

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    RRP £109.99 – you save £5.50 (5%)

    Order before 4pm today for delivery by Mon 15 Jun 2026.

    A Paperback by Katerina Doka

    15 in stock


      View other formats and editions of Algorithmic Aspects of Cloud Computing by Katerina Doka

      Publisher: Springer
      Publication Date: 23/07/2025
      ISBN13: 9783031946769, 978-3031946769
      ISBN10:
      Also in:
      Computing Mathematical theory of computation

      Description

      Book Synopsis

      .- 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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