Cloud Computing, Big Data & Emerging Topics

1. Front Matter

   Pages i-x

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2. Cloud, Edge and High-Performance Computing

   1. Front Matter

      Pages 1-1

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   2. Cloud Robotics for Industry 4.0 - A Literature Review

      • Nancy Velásquez Villagrán, Patricia Pesado, Elsa Estevez

      Pages 3-15

   3. An Edge Focused Distributed Shared Memory

      • Matías Teragni, Ricardo Moran, Gonzalo Zabala

      Pages 16-29

   4. Towards a Malleable Tensorflow Implementation

      • Leandro Ariel Libutti, Francisco D. Igual, Luis Piñuel, Laura De Giusti, Marcelo Naiouf

      Pages 30-40

   5. Viral Diseases Propagation Analysis in Short Time

      • Maximiliano Lucero, Natalia Miranda, Fabiana Piccoli

      Pages 41-57

   6. Architectural Design Criteria for Evolvable Data-Intensive Machine Learning Platforms

      • Gonzalo Zarza, Juan José López Murphy

      Pages 58-77

3. Big Data

   1. Front Matter

      Pages 79-79

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   2. Harmonizing Big Data with a Knowledge Graph: OceanGraph KG Uses Case

      • Marcos Zárate, Carlos Buckle, Renato Mazzanti, Mirtha Lewis, Pablo Fillottrani, Claudio Delrieux

      Pages 81-92

   3. Data Management Optimization in a Real-Time Big Data Analysis System for Intensive Care

      • Rodrigo Cañibano, Claudia Rozas, Cristina Orlandi, Javier Balladini

      Pages 93-107

4. Machine and Deep Learning

   1. Front Matter

      Pages 109-109

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   2. Reddening-Free Q Indices to Identify Be Star Candidates

      • Yael Aidelman, Carlos Escudero, Franco Ronchetti, Facundo Quiroga, Laura Lanzarini

      Pages 111-123

   3. A Web System Based on Spotify for the automatic generation of affective playlists

      • Pedro Álvarez, Jorge García de Quirós, Sandra Baldassarri

      Pages 124-137

   4. Classification of Summer Crops Using Active Learning Techniques on Landsat Images in the Northwest of the Province of Buenos Aires

      • Lucas Benjamin Cicerchia, María José Abasolo, Claudia Cecilia Russo

      Pages 138-152

   5. Trainable Windowing Coefficients in DNN for Raw Audio Classification

      • Mario Alejandro García, Eduardo Atilio Destéfanis, Ana Lorena Rosset

      Pages 153-166

5. Correction to: Cloud Computing, Big Data & Emerging Topics

   • Enzo Rucci, Marcelo Naiouf, Franco Chichizola, Laura De Giusti

   Pages C1-C1

6. Back Matter

   Pages 167-167

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This book constitutes the revised selected papers of the 8th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2020, held in La Plata, Argentina*, in September 2020.

The 11 full papers presented were carefully reviewed and selected from a total of 36 submissions. The papers are organized in topical sections of cloud computing and HPC; Big Data and machine and deep learning.

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

• artificial intelligence
• big data
• cloud computing
• computer hardware
• computer networks
• computer systems
• databases
• digital storage
• distributed computer systems
• internet
• machine learning
• mobile computing
• parallel processing systems
• processors
• signal processing
• user interfaces

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

  Enzo Rucci

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

  Marcelo Naiouf, Franco Chichizola, Laura De Giusti

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