Skip to main content
SpringerLink
Log in

Cloud Computing, Big Data & Emerging Topics

9th Conference, JCC-BD&ET, La Plata, Argentina, June 22-25, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Marcelo Naiouf

    1. III-LIDI, Facultad de Informática, Universidad Nacional de La Plata, La Plata, Argentina

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Enzo Rucci

    1. III-LIDI, Facultad de Informática, Universidad Nacional de La Plata and CIC, La Plata, Argentina

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Franco Chichizola

    1. III-LIDI, Facultad de Informática, Universidad Nacional de La Plata, La Plata, Argentina

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Laura De Giusti

    1. III-LIDI, Facultad de Informática, Universidad Nacional de La Plata and CIC, La Plata, Argentina

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1444)

Included in the following conference series:

Conference proceedings info: JCC-BD&ET 2021.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (14 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Parallel and Distributed Computing

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Analyzing the I/O Patterns of Deep Learning Applications

      • Edixon Párraga, Betzabeth León, Román Bond, Diego Encinas, Aprigio Bezerra, Sandra Mendez et al.
      Pages 3-16

    3. HESS-IM: A Uncertainty Reduction Method that Integrates Remote Sensing Data Applied to Forest Fire Behavior Prediction

      • Miguel Méndez-Garabetti, Germán Bianchini, Paola Caymes-Scutari
      Pages 17-30

    4. Detection of Crop Lines and Weeds in Corn Fields Based on Images Obtained from a Drone

      • Marco Pusdá-Chulde, Adrian Robayo, Armando De Giusti, Iván García-Santillán
      Pages 31-45

    5. Routing Security Using Blockchain Technology

      • Marcelo Gómez, Patricia Bazán, Nicolás del Río, Miguel Morandi
      Pages 46-59

    6. Comparison of Hardware and Software Implementations of AES on Shared-Memory Architectures

      • Victoria Sanz, Adrián Pousa, Marcelo Naiouf, Armando De Giusti
      Pages 60-70

  3. Machine and Deep Learning

    1. Front Matter

      Pages 71-71
      Download chapter PDF

    2. Proposal for a Classifier for Public Tenders for Software Based on Standard IEEE830

      • Jorge Hochstetter, Claudio Díaz, Mauricio Diéguez, Jaime Díaz
      Pages 73-88

    3. Optimizing a Gamified Design Through Reinforcement Learning - a Case Study in Stack Overflow

      • Jonathan Martin, Diego Torres, Alejandro Fernandez
      Pages 89-103

    4. A Comparison of Neural Networks for Sign Language Recognition with LSA64

      • Iván Mindlin, Facundo Quiroga, Franco Ronchetti, Pedro Dal Bianco, Gastón Ríos, Laura Lanzarini et al.
      Pages 104-117

  4. Big Data

    1. Front Matter

      Pages 119-119
      Download chapter PDF

    2. Optimizing Sparse Matrix Storage for the Big Data Era

      • Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
      Pages 121-135

    3. Modelling Network Throughput of Large-Scale Scientific Data Transfers

      • Joaquin Bogado, Mario Lassnig, Fernando Monticelli, Javier Díaz
      Pages 136-147

  5. Web and Mobile Computing

    1. Front Matter

      Pages 149-149
      Download chapter PDF

    2. LOBD: Linked Data Dashboard for Marine Biodiversity

      • Marcos Zárate, Carlos Buckle
      Pages 151-164

    3. 3D-Domotic: A 3D Mobile Application for Domotic Control

      • Sebastián Dapoto, Diego Encinas, Federico Cristina, Cristian Iglesias, Federico Arias, Pablo Thomas et al.
      Pages 165-176

  6. Visualization

    1. Front Matter

      Pages 177-177
      Download chapter PDF

    2. Visualization Technique for Comparison of Time-Based Large Data Sets

      • Martín L. Larrea, Dana K. Urribarri
      Pages 179-187

    3. npGLC-Vis Library for Multidimensional Data Visualization

      • Leandro E. Luque, María Luján Ganuza, Antonella S. Antonini, Silvia M. Castro
      Pages 188-202
Back to top

Other volumes

  1. Cloud Computing, Big Data & Emerging Topics

Keywords

About this book

This book constitutes the revised selected papers of the 9th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2021, held in La Plata, Argentina*, in June 2021.

The 12 full papers and 2 short papers presented were carefully reviewed and selected from a total of 37 submissions. The papers are organized in topical sections on parallel and distributed computing; machine and deep learning; big data; web and mobile computing; visualization..

*The conference was held virtually due to the COVID-19 pandemic.

Editors and Affiliations

  • III-LIDI, Facultad de Informática, Universidad Nacional de La Plata, La Plata, Argentina

    Marcelo Naiouf, Franco Chichizola

  • III-LIDI, Facultad de Informática, Universidad Nacional de La Plata and CIC, La Plata, Argentina

    Enzo Rucci, Laura De Giusti

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation