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Cloud Computing, Big Data

Overview of attention for book
Cover of 'Cloud Computing, Big Data & Emerging Topics'

Table of Contents

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    Book Overview
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    Chapter 1 Analyzing the I/O Patterns of Deep Learning Applications
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    Chapter 2 HESS-IM: A Uncertainty Reduction Method that Integrates Remote Sensing Data Applied to Forest Fire Behavior Prediction
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    Chapter 3 Detection of Crop Lines and Weeds in Corn Fields Based on Images Obtained from a Drone
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    Chapter 4 Routing Security Using Blockchain Technology
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    Chapter 5 Comparison of Hardware and Software Implementations of AES on Shared-Memory Architectures
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    Chapter 6 Proposal for a Classifier for Public Tenders for Software Based on Standard IEEE830
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    Chapter 7 Optimizing a Gamified Design Through Reinforcement Learning - a Case Study in Stack Overflow
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    Chapter 8 A Comparison of Neural Networks for Sign Language Recognition with LSA64
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    Chapter 9 Optimizing Sparse Matrix Storage for the Big Data Era
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    Chapter 10 Modelling Network Throughput of Large-Scale Scientific Data Transfers
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    Chapter 11 LOBD: Linked Data Dashboard for Marine Biodiversity
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    Chapter 12 3D-Domotic: A 3D Mobile Application for Domotic Control
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    Chapter 13 Visualization Technique for Comparison of Time-Based Large Data Sets
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    Chapter 14 npGLC-Vis Library for Multidimensional Data Visualization
Attention for Chapter 10: Modelling Network Throughput of Large-Scale Scientific Data Transfers
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Summary
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Chapter title
Modelling Network Throughput of Large-Scale Scientific Data Transfers
Chapter number 10
Book title
Cloud Computing, Big Data & Emerging Topics
Published by
Springer, Cham, August 2021
DOI 10.1007/978-3-030-84825-5_10
Book ISBNs
978-3-03-084824-8, 978-3-03-084825-5
Authors

Bogado, Joaquin, Lassnig, Mario, Monticelli, Fernando, Díaz, Javier

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