This book constitutes the revised selected papers of the 11th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2023, held in La Plata, Argentina*, in June 2023. The 14 full papers were carefully reviewed and selected from a total of 38 submissions.
The papers are organized in topical sections on: Parallel and Distributed Computing, Big Data, Machine and Deep Learning, Smart Cities and E-Government, Visualization.

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zlib/Science (General)/International Conferences and Symposiums/Marcelo Naiouf, Enzo Rucci, Franco Chichizola, Laura De Giusti, (eds.)/Cloud Computing, Big Data & Emerging Topics, 11th International Conference, JCC-BD&ET 2023, La Plata, Argentina, June 27-29, 2023, Proceedings_25714114.pdf

Cloud Computing, Big Data & Emerging Topics, 11th International Conference, JCC-BD&ET 2023, La Plata, Argentina, June 27-29, 2023, Proceedings

Cloud Computing, Big Data and Emerging Topics: 11th Conference, JCC-BD&et 2023, la Plata, Argentina, June 27-29, 2023, Proceedings

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

Marcelo Naiouf, Enzo Rucci, Franco Chichizola, Laura De Giusti, (eds.)

Springer Nature Switzerland AG

Switzerland, Switzerland

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Preface
Organization
Contents
Parallel and Distributed Computing
Exploring Heterogeneous Computing Environments: A Preliminary Analysis of Python and SYCL Performance
1 Introduction
2 Background
2.1 SYCL
2.2 Data Parallel Extensions for Python
3 Target Applications
3.1 Matrix Multiplication
3.2 Monte Carlo
3.3 Nbody
3.4 VCA
4 Methods
4.1 Benchmark Methodology
4.2 Environment Configuration
5 Experimental Results
5.1 CPU Results
5.2 GPU Results
6 Discussion
7 Conclusion
References
Towards Reducing Communications in Sparse Matrix Kernels
1 Introduction
2 Basic Concepts
3 Related Work
4 Systematic Experimental Evaluation
4.1 Direct Index Compression
4.2 Delta-to-Diagonal Encoding
4.3 Delta-to-Diagonal Encoding with Reordering
4.4 Delta Encoding
4.5 Delta Encoding with Reordering
4.6 Summary of the Experimental Evaluation
5 Final Remarks and Future Work
References
Distributed Architectures Based on Edge Computing, Fog Computing and End Devices: A Conceptual Review Incorporating Resilience Aspects
1 Introduction and Motivation
2 Definitions
2.1 Fog Computing
2.2 Edge Computing
2.3 End Devices
3 Platforms and Services
3.1 Design Objectives
4 Application Types and Resilience
4.1 Critical Applications
4.2 Types of Failures and Detection
4.3 Resilience Strategies
5 Conclusions and Future Work
References
Resilience Analysis of an Emergency Department in Stressful Situations
1 Introduction
2 ED Simulator
3 Simulation Setup
4 Results
5 Conclusions
References
Big Data
CoVaMaT: Functionality for Variety Reuse Through a Supporting Tool
1 Introduction
2 Related Work
3 A Variety Identification Process
4 Context-Based Variety Management Tool (CoVaMaT)
4.1 Functionality for Variety Documentation: S-1, P-1 and E-1
4.2 Functionality for Case Instantiation: S-2, P-2 and E-2
4.3 Functionality for Case Reuse: S-3, P-3, P-4 and E-3
5 Case Studies in the Agriculture Domain
5.1 Domain Case 1: P1 and P2
5.2 Domain Case 2: P3 and P4
6 Conclusion and Future Work
References
Local Pluralistic Homophily in Networks: A New Measure Based on Overlapping Communities
1 Introduction
2 Theoretical Framework
2.1 Pluralistic Homophily
2.2 Local Pluralistic Homophily
3 Methodology
3.1 Datasets
4 Results
5 Discussion
6 Conclusions and Future Work
References
Machine and Deep Learning
The Implementation of the RISE Algorithm for the Captum Framework
1 Introduction
1.1 Related Work
2 Methodology
2.1 Concept
2.2 Technologies
2.3 Background
2.4 Pseudocode
2.5 Implementation
3 Experiments and Results
3.1 Experiments
3.2 Results
4 Discussion
5 Conclusions and Future Work
5.1 Conclusions
5.2 Future Work
References
Drug Repurposing Using Knowledge Graph Embeddings with a Focus on Vector-Borne Diseases: A Model Comparison
1 Introduction
2 Related Work
3 Biomedical Knowledge Graphs
4 Methodological Approach for Evaluation
5 Evaluation
5.1 Metrics
5.2 Data
5.3 Results
6 Discussion
7 Conclusions and Further Work
References
An Analysis of Satellite-Based Machine Learning Models to Estimate Global Solar Irradiance at a Horizontal Plane
1 Introduction
2 Materials and Methods
2.1 Ground-Based Measurements
2.2 Satellite Images
2.3 Data Set Configuration
2.4 Definition of Training and Validation Sets
2.5 Supervised Learning Models
3 Results and Discussion
3.1 Performance Reference
3.2 Implementation of Machine Learning Models
4 Conclusions and Future Work
References
An Architecture and a New Deep Learning Method for Head and Neck Cancer Prognosis by Analyzing Serial Positron Emission Tomography Images
1 Introduction
2 Related Work
3 Data Science Architecture and Deep Learning Method
4 Design of Experiments
5 Results
6 Conclusions
References
Smart Cities and E-Government
Designing a Data Strategy for Organizations
1 Introduction
2 Research Methodology
3 Related Research
4 Model for the Design of the Data Strategy
4.1 Model Description
4.2 Design Stages of a Data Strategy
4.3 Model Validation
4.4 Adapting the Model to Smart Cities
4.5 Knowledge
4.6 Planning
4.7 Ownership
5 Discussion and Conclusions
References
A Maturity Model for Data Governance, Data Quality Management, and Data Management
1 Introduction
2 Maturity Models
2.1 Dama
2.2 Aiken’s Model
2.3 Data Management Maturity Model (DMM)
2.4 IBM Model
2.5 Gartner’s Enterprise Information Management Model
2.6 DCAM
3 MAMD (Alarcos’ Model for Data Maturity)
3.1 Capability Dimension
3.2 Process Dimension
3.3 Organizational Maturity Model
3.4 Difference Between MAMD and Other Models
4 Practical Applications
4.1 Insurance Company: Building a “Source of Truth” Repository
4.2 University Library: Assessing the Organizational Maturity
5 Conclusions and Future Work
References
Examining Factors of Acceptance and Use of Technology in Digital Services in the Context of Ecuador
1 Introduction
2 Background
2.1 Models and Theories of Acceptance and Use of Technologies
2.2 Agile Methods for Software Development
2.3 Problem Identification and Problem Resolution Methods
2.4 Process Simplification and Automation Methods
3 Methodology
3.1 Case Design
3.2 Preparation for Data Collection
3.3 Data Collection
3.4 Analysis of Collected Data
3.5 Report
4 Data Analysis and Results
4.1 Results by Unit of Analysis of the Case Study
4.2 Characterization
5 Discussion
References
Visualization
UVAM: The Unified Visual Analytics Model. The Unified Visualization Model Revisited
1 Introduction
2 Related Work
3 Unified Visualization Model (UVM)
3.1 The States
3.2 The Transformations
4 The Unified Visual Analytics Model (UVAM)
4.1 Operations Within Data States
5 Coordinated Views in the UVAM
6 Case Study: Spinel Web
6.1 Spinel Web Across the UVAM
7 Conclusions
References
Author Index

This book constitutes the revised selected papers of the 11th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2023, held in La Plata, Argentina*, in June 2023.
Erscheinungsdatum: 11.08.2023

2023-08-15