
Advances on P2P, Parallel, Grid, Cloud and Internet Computing
Description
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This book presents the latest research findings, innovative research results, methods and development techniques related to P2P, grid, cloud and Internet computing from both theoretical and practical perspectives. It also reveals the synergies among such large-scale computing paradigms. P2P, grid, cloud and Internet computing technologies have rapidly become established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources at large scale.
Grid computing originated as a paradigm for high-performance computing, as an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P computing emerged as a new paradigm after client-server and web-based computing and has proved useful in the development of social networking, B2B (business to business), B2C (business to consumer), B2G (business to government), and B2E (business to employee). Cloud computing has been defined as a "computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits," and it has fast become a computing paradigm with applicability and adoption in all application domains and which provides utility computing at a large scale. Lastly, Internet computing is the basis of any large-scale distributed computing paradigms; it has developed into a vast area of flourishing fields with enormous impact on today's information societies, and serving as a universal platform comprising a large variety of computing forms such as grid, P2P, cloud and mobile computing.
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Content
- Intro
- Welcome Message from 3PGCIC-2019 Organizing Committee
- Welcome Message from 3PGCIC-2019 Workshop Co-chairs
- 3PGCIC-2019 Organizing Committee
- Honorary Co-chairs
- General Co-chairs
- Program Committee Co-chairs
- Workshop Co-chairs
- Finance Chair
- Web Administrator Co-chairs
- Local Organizing Co-chairs
- Steering Committee Chair
- Track Areas
- 1. Data Mining, Semantic Web and Information Retrieval
- Co-chairs
- PC Members
- 2. Cloud and Service-Oriented Computing
- Co-chairs
- PC Members
- 3. Security and Privacy for Distributed Systems
- Co-chairs
- PC Members
- 4. P2P, Grid and Scalable Computing
- Co-chairs
- PC Members
- 5. Bio-inspired Computing and Pattern Recognition
- Co-chairs
- PC Members
- 6. Intelligent and Cognitive Systems
- Co-chairs
- PC Members
- 7. Web Application, Multimedia and Internet Computing
- Co-chairs
- PC Members
- 8. Distributed Systems and Social Networks
- Co-chairs
- PC Members
- 9. IoT Computing Systems
- Co-chairs
- PC Members
- 10. Wireless Networks and Mobile Computing
- Co-chairs
- PC Members
- 3PGCIC-2019 Reviewers
- Welcome Message from SMECS-2019 Workshop Organizers
- SMECS-2019 Program Committee
- Workshop Organizers
- PC Members
- Welcome Message from SMDMS-2019 Workshop Organizers
- SMDMS-2019 Organizing Committee
- Workshop Chair
- International Liaison Chair
- Program Committee Members
- Welcome Message from MWVRTA-2019 Workshop Organizers
- MWVRTA-2019 Program Committee
- Workshop Co-chairs
- Program Committee Members
- Welcome Message from ALICE-2019 Workshop Organizers
- ALICE-2019 Program Committee
- Workshop Organizers
- PC Members
- Welcome Message from CADSA-2019 Workshop Organizer
- CADSA-2019 Program Committee
- Workshop Chair
- Program Committee Members
- Welcome Message from CCPI-2019 Workshop Co-chairs
- CCPI-2019 Organizing Committee
- Workshop Co-chairs
- Program Committee Members
- Welcome Message from DEM-2019 Workshop Organizers
- DEM-2019 Program Committee
- Workshop Chair
- Program Committee Members
- Welcome Message from SiPML-2019 Workshop Organizers
- SiPML-2019 Program Committee
- Workshop Co-chairs
- Program Committee Members
- Welcome Message from BIDS-2019 International Workshop Organizers
- BIDS-2019 Program Committee
- Workshop Co-chairs
- Program Committee Members
- 3PGCIC-2019 Keynote Talks
- Wireless Experimentation with SDR: The Way to Drive Innovation Ingrid Moerman Ghent University, Ghent, Belgium
- 2020: The AI Decade Deevid De Meyer Cronos Group, Leuven, Belgium
- Contents
- The 14th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2019)
- A Fuzzy-Based Peer Coordination Quality System in Mobile P2P Networks: Effect of Time for Finishing Required Task (TFRT) Parameter
- 1 Introduction
- 2 Group Activity Awareness Model
- 3 Application of Fuzzy Logic for Control
- 4 Proposed Fuzzy Peer Coordination Quality System
- 5 Simulation Results
- 6 Conclusions and Future Work
- References
- A Fuzzy-Based System for Driving Risk Measurement (FSDRM) in VANETs: A Comparison Study of Simulation and Experimental Results
- 1 Introduction
- 2 Vehicular Ad Hoc Networks (VANETs)
- 3 Ambient Intelligence (AmI)
- 4 Proposed System
- 4.1 Proposed Fuzzy-Based Simulation System
- 4.2 Testbed Description
- 5 Proposed System Evaluation
- 5.1 Simulation Results
- 5.2 Experimental Results
- 6 Conclusions
- References
- A Comparison Study of Constriction and Linearly Decreasing Vmax Replacement Methods for Wireless Mesh Networks by WMN-PSOHC-DGA Simulation System
- 1 Introduction
- 2 Node Placement Problem in WMNs
- 3 Proposed and Implemented Simulation System
- 3.1 WMN-PSOHC-DGA Hybrid Simulation System
- 4 Simulation Results
- 5 Conclusions
- References
- Effect of Degree of Centrality Parameter on Actor Selection in WSANs: A Fuzzy-Based Simulation System and Its Performance Evaluation
- 1 Introduction
- 2 WSANs
- 3 Proposed Fuzzy-Based System
- 4 Simulation Results
- 5 Conclusions and Future Work
- References
- Wind Power Forecasting Based on Efficient Deep Convolution Neural Networks
- 1 Introduction
- 2 Contributions
- 3 Proposed Model
- 3.1 Data Preprocess
- 3.2 Feature Engineering
- 3.3 Efficient DCNN
- 4 Results and Analysis
- 4.1 Data Description
- 4.2 Wind Power Analysis
- 4.3 Performance Evaluation
- 4.4 Diebold-Mariano Test
- 5 Conclusion
- References
- One Step Forward: Towards a Blockchain Based Trust Model for WSNs
- 1 Introduction
- 2 Literature Review and Problem Statement
- 2.1 Problem Statement
- 3 Proposed System Model
- 3.1 Ordinary Sensor Nodes
- 3.2 Sink Nodes
- 3.3 Main Server
- 4 Simulation Results
- 4.1 Simulation Tools
- 4.2 Simulations Reasoning
- 5 Conclusion
- References
- Smart Contracts for Research Lab Sharing Scholars Data Rights Management over the Ethereum Blockchain Network
- 1 Introduction
- 1.1 Problem Statement
- 1.2 Technical Contribution
- 2 Blockchain Mechanism
- 2.1 Blockchain Fundamental
- 2.2 Blockchain Construction
- 2.3 Blockchain Basic Components
- 3 Related Work
- 4 Proposed Scheme Model
- 5 Analysis of Results and Discussion
- 6 Semulation Environment
- 7 Conclusion and Limitation
- References
- Secure Service Provisioning Scheme for Lightweight Clients with Incentive Mechanism Based on Blockchain
- 1 Introduction
- 2 Related Work
- 3 Problem Statement
- 4 Proposed System Model
- 4.1 Steps of the Proposed System Model
- 4.2 Reputation Based Incentive Mechanism
- 5 Simulation and Results
- 5.1 Gas Consumption
- 5.2 Participation Rate
- 6 Conclusion
- References
- Node Recovery in Wireless Sensor Networks via Blockchain
- 1 Background
- 2 Proposed System Model
- 3 Simulation Results and Discussions
- 3.1 SC Implementation
- 3.2 Outputs for SC
- 3.3 Cost Analysis
- 3.4 Security Analysis
- 4 Conclusion
- References
- Towards Plug and Use Functionality for Autonomous Buildings
- 1 Introduction
- 2 Autonomy Levels for Plug and Use in Buildings
- 3 General Assumptions
- 4 Design Considerations
- 4.1 Main Function Blocks for Plug and Use
- 4.2 Support for Differing Workflows
- 4.3 Including Workflow Artifacts and Mechanisms
- 5 Plug and Use Requirements for Selected Use Cases
- 6 Case Study
- 6.1 Device Identification
- 6.2 Device Connectivity
- 6.3 Device Configuration
- 7 Conclusions and Future Work
- References
- An Evaluation of Pacemaker Cluster Resource Manager Reliability
- 1 Introduction
- 2 ASTS Testbed Cluster
- 2.1 Cluster Architecture
- 2.2 Cluster Markov Model
- 3 Pacemaker Architecture and Its Configurations
- 4 The Testing Approach
- 5 Estimation of Fail-Over Reliability
- 6 Conclusion
- References
- A Secure and Distributed Architecture for Vehicular Cloud
- 1 Introduction
- 2 Proposed Model
- 2.1 System Model
- 2.2 Proposed Architecture
- 3 Security and Overhead Analysis
- 3.1 Ensuring Security and Privacy
- 3.2 Attack Resilience
- 3.3 Communication and Computation Overhead
- 4 Related Work
- 5 Conclusion
- References
- Introducing Connotation Similarity
- Abstract
- 1 Introduction
- 2 Defining Connotation Similarity
- 3 WCS vs MCS
- 4 Results Analysis
- 5 Conclusion
- References
- A Cotton and Flax Fiber Classification Model Based on Transfer Learning and Spatial Fusion of Deep Features
- Abstract
- 1 Introduction
- 2 Proposed Model
- 3 Deep Feature Extractor
- 4 Fusion of Deep Features
- 4.1 Spatial Feature Fusion Algorithm
- 4.2 Cascade Feature Fusion Function
- 5 Experimental Results and Discussion
- 5.1 Datasets
- 5.2 Metrics
- 5.3 Experiment
- 6 Conclusion
- Acknowledgments
- References
- An Automatic Text Summary Method Based on LDA Model
- Abstract
- 1 Introduction
- 2 Extraction of Document Summary Based on LDA Model
- 2.1 Basic Idea
- 2.2 LDA Theme Model
- 2.3 Sentence Feature Selection Based on FCNNM
- 2.4 Sentence Regression Model
- 2.5 Redundant Control Summary Selection
- 3 Experimental Analysis
- 3.1 Experimental Data
- 3.2 Evaluation Index
- 3.3 Experimental Detail
- 4 Summary
- Acknowledgments
- References
- Investigating Performance and Cost in Function-as-a-Service Platforms
- 1 Introduction
- 2 Related Work
- 3 Function-as-a-Service Platforms
- 4 Results
- 4.1 Description of Experiments
- 4.2 Performance Comparison
- 4.3 Cost Comparison
- 5 Conclusion
- References
- Optimal Bandwidth and Delay of Video Streaming Traffic in Cloud Data Center Server Racks
- Abstract
- 1 Introduction
- 2 Testbed Systems for End-to-End Analysis
- 3 Study on Larger Systems
- 4 Conclusion
- References
- Log-Based Intrusion Detection for Cloud Web Applications Using Machine Learning
- 1 Introduction
- 2 Related Work
- 3 Cloud Web Application Security Logs
- 3.1 Azure, Amazon Web Services and Google Cloud
- 3.2 Web Application Logs
- 3.3 Dataset and Labeling
- 4 Feature Selection
- 4.1 Web Security Features
- 4.2 Selection Methods
- 4.3 Results
- 5 Machine Learning Methods
- 5.1 Tested Algorithms
- 5.2 Testing Method
- 6 Performance and Accuracy Results
- 7 Future Research
- 8 Conclusion
- References
- Automatic Text Classification Through Point of Cultural Interest Digital Identifiers
- 1 Introduction
- 1.1 POId
- 2 State of the Art
- 3 Methodology and Resources
- 3.1 Domain Ontology
- 3.2 Lexical and Grammatical Resources
- 4 Experiment
- 5 Conclusion
- References
- An Industrial Multi-Agent System (MAS) Platform
- 1 Introduction
- 2 Background and Related Works
- 3 MASs Platform
- 3.1 Development and Deployment
- 3.2 Maintenance and Monitoring
- 4 Case Study: A MASs Linguistic Pipeline for NLP, Virtual Agents Interaction and Operator Support
- 5 Conclusion
- References
- Museums' Tales: Visualizing Instagram Users' Experience
- Abstract
- 1 Introduction
- 2 Literary Review and Research Design
- 3 Instagram Post as Vector of Data
- 4 Data Collection and Refinement
- 5 Data Validation
- 6 Visual Information Coding: Definitions and Rules
- 7 Results
- 8 Discussion
- 9 Psycholinguistic Analysis
- 10 Conclusions
- References
- Research Topics: A Multidisciplinary Analysis of Online Communities to Detect Policy-Making Indicators
- Abstract
- 1 Introduction
- 2 Research Description
- 3 Data Collection
- 4 Data Pre-processing
- 5 Data Visualization
- 6 Critical Topics
- 7 Discussion
- 8 Conclusions
- References
- Proposal of Transesophageal Echo Examination Support System by CT Imaging
- Abstract
- 1 Introduction
- 2 Transesophageal Echo Examination Support System
- 3 Image Filtering Algorithm for the Echo Cardiogram Display
- 4 Pseudo Probe Operation
- 4.1 Position Specification
- 4.2 Rotation Matrix
- 5 Evaluation
- 6 Conclusion
- Acknowledgments
- References
- A Study of 3D Shape Similarity Search in Point Representation by Using Machine Learning
- Abstract
- 1 Introduction
- 2 Goal of This Study
- 3 Related Works
- 4 Proposed Point Generation Method
- 5 Experiment
- 5.1 Experiment Procedure
- 5.2 Experiment Data
- 5.3 Machine Learning
- 5.4 Experimental Result
- 6 Conclusion
- Acknowledgments
- References
- A Fog-Cloud Approach to Enhance Communication in a Distance Learning Cloud Based System
- Abstract
- 1 Introduction
- 2 Theoretical Foundation
- 2.1 Cloud and Fog Computing
- 2.2 Distance Learning
- 3 Related Works
- 4 Fog-Cloud Cooperation for Virtual Learning Environments
- 5 Experimental Results
- 5.1 Simulation of the Real Environment
- 5.2 Simulation of the Proposal
- 6 Conclusions and Future Works
- Acknowledgment
- References
- Research Characterization on I/O Improvements of Storage Environments
- 1 Introduction
- 2 HPC and DISC
- 2.1 HPC
- 2.2 DISC
- 3 Related Work
- 4 Proposed Approach
- 5 Experimental Environment and Evaluation Results
- 5.1 Experimental Environment
- 5.2 Experiment Factors Definition
- 5.3 Experimental Results
- 6 Conclusions and Future Work
- References
- Home Fine Dust Monitoring Systems Using XBee
- Abstract
- 1 Introduction
- 2 FRIBEE Arduino Platform
- 3 ZigBee
- 4 ZigBee Network Topologies
- 4.1 Star Topology
- 4.2 Peer-to-Peer Topology
- 4.3 Cluster-Tree Topology
- 5 Fine Dust Sensor
- 6 System Architecture and Implementation
- 6.1 System Architecture
- 6.2 XBee Configuration
- 6.3 Arduino Implementation
- 7 Conclusion and Future Work
- References
- Opinion Mining in Consumers Food Choice and Quality Perception
- Abstract
- 1 Introduction
- 2 Twitter's Streaming Processing
- 3 Opinion Analysis
- 4 Opinion Mining in Consumers Food Choice
- 5 Conclusions
- Acknowledgments
- References
- A Model for Human Activity Recognition in Ambient Assisted Living
- 1 Introduction
- 2 Related Work
- 2.1 Comparison of the Approaches
- 3 Proposal
- 3.1 Obtaining Data
- 3.2 Human Activity Recognition
- 4 Environments and Results
- 4.1 Scenarios
- 4.2 Cross-Validation
- 4.3 Importance of the Attributes
- 4.4 Precision of the Model
- 5 Conclusions and Future Work
- References
- Omniconn: An Architecture for Heterogeneous Devices Interoperability on Industrial Internet of Things
- 1 Introduction
- 2 Background
- 2.1 Industrial Internet of Things (IIoT)
- 2.2 IoT Protocols
- 3 Related Works
- 4 Omniconn Architecture
- 4.1 Development
- 5 Experimental Environment
- 6 Conclusions and Future Work
- References
- A Framework for Allocation of IoT Devices to the Fog Service Providers in Strategic Setting
- 1 Introduction
- 2 Related Works
- 3 System Model and Problem Formulation
- 4 Proposed Mechanisms
- 4.1 Random Algorithm (RanAlgo)
- 4.2 Fog Service Allocation Mechanism with Incomplete Preferences (FSAM-IComP)
- 5 Analysis of the Proposed Mechanism
- 6 Algorithm for ti= Case
- 6.1 Observation
- 6.2 Designing the Algorithm
- 6.3 Sketch of the Algorithm
- 7 Experimental Analysis
- 7.1 Simulation Set-Up
- 7.2 Performance Evaluation
- 7.3 Discussion
- 7.4 Results Analysis
- 8 Conclusion and Future Works
- References
- The 12th International Workshop on Simulation and Modelling of Engineering and Computational Systems (SMECS-2019)
- Blockchain Based Decentralized Authentication and Licensing Process of Medicine
- 1 Introduction
- 2 Related Work
- 3 Traditional Approach
- 4 Architecture
- 5 Methodology
- 5.1 Blockchain
- 5.2 BC Based Design Overview
- 5.3 Advantage of BC Based Authentication
- 6 Workflow of Proposed System
- 7 Results and Discussion
- 8 Conclusion
- References
- Detection of Malicious Code Variants Based on a Flexible and Lightweight Net
- Abstract
- 1 Introduction
- 2 Data Preprocessing
- 3 Construction of the Classification Model
- 3.1 Flexible and Lightweight Network
- 3.2 Adamax Optimizer
- 4 Neural Network Model Fitness Optimization
- 5 Performance Analysis
- 6 Conclusions
- Acknowledgements
- References
- Preprocessing of Correlation Power Analysis Based on Improved Wavelet Packet
- Abstract
- 1 Introduction
- 2 Preliminaries
- 2.1 SM4 Block Cipher
- 2.2 Correlation Power Analysis (CPA)
- 2.3 Wavelet Packet Decomposition
- 2.4 Singular Spectrum Analysis and Singular Entropy
- 3 CPA Based on Improved Wavelet Packet
- 4 Experiment and Analysis
- 5 Conclusion
- Acknowledgements
- References
- A Method of Annotating Disease Names in TCM Patents Based on Co-training
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Characteristics of Disease Names in TCM Patent Texts
- 4 Clue Words
- 5 Method
- 5.1 Preprocessing
- 5.2 Collection of Disease Name Seeds
- 5.3 Collection of Clue Words
- 5.4 Calculation of the Weights of Clauses
- 5.5 Storage of Weights of Clauses
- 5.6 Creation of Candidate Clauses
- 6 Experiments
- 7 Conclusion
- Acknowledgments
- References
- Semantic Annotation in Maritime Legal Case Texts Based on Co-training
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Systematic Framework of Semantic Annotation
- 3.1 Semantic Annotation Method for Sea-Related Cases Based on Collaborative Training
- 3.2 Semantic Annotation Process Based on Collaborative Training
- 4 Project Implementation Process
- 5 Experiment
- 6 Conclusion
- Acknowledgments
- Data Analytical Platform Deployment: A Case Study from Automotive Industry in Thailand
- 1 Introduction
- 2 Proposed Platform
- 2.1 System Structure
- 2.2 System UI
- 3 Evaluation
- 4 Conclusion
- References
- The 10th International Workshop on Streaming Media Delivery and Management Systems (SMDMS-2019)
- The Structured Way of Dealingpg with Heterogeneous Live Streaming Systems
- 1 Introduction
- 2 Related Works
- 3 Distributed Systems and Modeling
- 3.1 Modeling
- 3.2 Metrics
- 4 Protocols for Heterogeneous Systems
- 5 Results with Twitch Traces
- 6 Conclusion
- References
- A Rule Design for Trust-Oriented Internet Live Video Distribution Systems
- Abstract
- 1 Introduction
- 2 Related Research
- 3 System Design
- 3.1 Problems with Conventional Systems
- 3.2 Design Policy
- 3.3 Trust Management Design
- 3.4 Ruleset Design
- 4 Design of an Experimental Environment
- 5 Summary
- Acknowledgments
- References
- High-Performance Computing Environment with Cooperation Between Supercomputer and Cloud
- 1 Introduction
- 2 Hokkaido University Information NEtwork System
- 2.1 Outline
- 2.2 Supercomputer System
- 2.3 Intercloud System
- 3 Machine Learning
- 3.1 Outline
- 3.2 Methods for Machine Learning
- 3.3 Deep Learning
- 4 Distributed Deep Reinforcement Learning
- 4.1 Outline
- 4.2 Ape-X
- 5 Implementation
- 5.1 Distributed Tensorflow
- 5.2 MPI
- 5.3 Horovod
- 5.4 Network
- 6 Evaluation
- 6.1 Evaluation Environment
- 6.2 Processing Time in Distributed Tensorflow
- 6.3 Performance for Distributed Process on Horovod
- 6.4 Performance for Distributed Process on Ape-X
- 7 Conclusion
- References
- Evaluation of a Distributed Sensor Data Stream Collection Method Considering Phase Differences
- 1 Introduction
- 2 Problems Addressed
- 2.1 Assumed Environment
- 2.2 Input Setting
- 2.3 Definition of a Load
- 3 Skip Graph-Based Collection System Considering Phase Differences
- 3.1 Skip Graphs
- 3.2 Phase Differences
- 4 Evaluation
- 4.1 Simulation Environments
- 4.2 Simulation Results
- 5 Conclusion
- References
- A Mathematical Analysis of 2-Tiered Hybrid Broadcasting Environments
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Proposed Method and Model
- 3.1 Data Division
- 3.2 Limit of Average Arrival Interval
- 4 Conclusions
- Acknowledgments
- References
- The 9th International Workshop on Multimedia, Web and Virtual Reality Technologies (MWVRTA-2019)
- Influence of Japanese Traditional Crafts on Kansei in Different Interior Styles
- Abstract
- 1 Introduction
- 2 Evaluation Score of Each Kansei Word, and Average, Standard Deviation, Dispersion of Evaluation Score
- 3 Conclusion
- References
- Semantic Similarity Calculation of TCM Patents in Intelligent Retrieval Based on Deep Learning
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Our Method
- 3.1 Collection of Stop Words in TCM Patents
- 3.2 Training of Word2Vec Model
- 3.3 Semantic Similarity Calculation
- 4 Experiments
- 5 Conclusion
- Acknowledgments
- References
- The Design and Development of Assistant Application for Maritime Law Knowledge Built on Android
- Abstract
- 1 Background
- 2 Related Work
- 3 System Requirement Analysis
- 3.1 Overall System Requirements
- 3.2 System Performance Requirement Analysis
- 3.3 System Functional Requirements
- 4 System Overall Design
- 4.1 The Overall Structures Design of the System
- 4.2 Design of System Functional Structure
- 4.3 Detailed Design and Implementation of the System
- 5 System Testing
- 5.1 System Test Environment
- 5.2 Software Test
- 6 Conclusion
- Acknowledgments
- References
- A Matrix Factorization Recommendation Method Based on Multi-grained Cascade Forest
- Abstract
- 1 Introduction
- 2 Proposed Methods
- 2.1 Feature Embedding Module
- 2.2 Multi-grained Cascade Forest
- 3 Experiments
- 3.1 Dataset
- 3.2 Evaluation Methods
- 3.3 Baselines
- 3.4 Parameter Setting
- 3.5 Performance Comparison
- 4 Summary and Future Work
- Acknowledgments
- References
- The 9th International Workshop on Adaptive Learning via Interactive, Cognitive and Emotional approaches (ALICE-2019)
- Multi-attribute Categorization of MOOC Forum Posts and Applications to Conversational Agents
- Abstract
- 1 Introduction and Related Work
- 2 Text Categorization Approach
- 3 Experiments with MOOC Posts
- 4 Application to Conversational Agents
- 5 Final Remarks
- Acknowledgement
- References
- A Tool for Creating Educational Resources Through Content Aggregation
- Abstract
- 1 Introduction
- 2 Objectives
- 3 Description
- 3.1 Application Architecture
- 3.2 Design and Implementation
- 4 Evaluation
- 5 Conclusions and Future Work
- Acknowledgments
- References
- A Methodology Approach to Evaluate Cloud-Based Infrastructures in Support for e-Assessment
- Abstract
- 1 Introduction
- 2 Background
- 3 Engineering a Cloud-Based e-Assessment System
- 3.1 System Specifications
- 3.2 System Technical Requirements
- 3.3 Global Architecture
- 4 Evaluation Methodology
- 4.1 Pilot Scenario
- 4.2 Experiment Design
- 5 Conclusions and Future Work
- Acknowledgements
- References
- Towards an Educational Model for Lifelong Learning
- Abstract
- 1 Introduction
- 2 Background and a Case Study of Lifelong Learning
- 2.1 Background
- 2.2 Case Study: An Example of How Lifelong Learning Should Be
- 3 The Gap Between Students' Needs and Academical Offer
- 4 Towards an Educational Model for Lifelong Learning
- 5 Conclusions and Future Work
- Acknowledgments
- References
- The 7th International Workshop on Cloud and Distributed System Applications (CADSA-2019)
- Optimization Algorithms and Tools Applied in Agreements Negotiation
- Abstract
- 1 Introduction
- 2 The Algorithms Setup
- 2.1 The Bids Method
- 2.2 The Ratings Method
- 3 The Solutions
- 3.1 The Egalitarian Equivalent Allocation
- 3.2 The Competitive Equilibrium from Equal Income
- 3.3 Constraints
- 4 Implementation Tools
- 4.1 Google OR-Tools
- 4.2 CSNumerics
- 5 Conclusion
- Acknowledgments
- References
- A Configurable Implementation of the SHA-256 Hash Function
- 1 Introduction
- 2 Proposed Implementation
- 2.1 Data Path
- 2.2 Control Unit
- 2.3 Reconfigurable Aspects Controlled by Source-Level Parameters
- 2.4 Reconfigurable Aspects Controlled by Component Declarations
- 2.5 Discussion
- 3 Experimental Results
- 4 Conclusions
- References
- A Blockchain Based Incentive Mechanism for Crowd Sensing Network
- 1 Introduction
- 2 Motivation and Problem Statement
- 3 Related Work
- 4 System Model
- 5 Experimental Results
- 5.1 Gas Consumption Analysis
- 5.2 Execution Time Analysis
- 6 Conclusion
- References
- Design of a Cloud-Oriented Web Application for Legal Conflict Resolution Through Equitative Algorithms
- Abstract
- 1 Introduction
- 2 System Design
- 3 Data Model Design
- 4 Implementation
- 5 Conclusions
- Acknowledgments
- References
- Equitative Algorithms for Legal Conflict Resolution
- Abstract
- 1 Introduction
- 2 The Algorithms Setup
- 2.1 The Bids Method
- 2.2 The Ratings Method
- 3 The Solutions
- 3.1 The Egalitarian Equivalent Allocation
- 3.2 The Competitive Equilibrium from Equal Income
- 3.3 Constraints
- 4 Constraint-Satisfaction Problems
- 4.1 Backtracking Search
- 5 Conclusion
- Acknowledgments
- References
- The 7th International Workshop on Cloud Computing Projects and Initiatives (CCPI-2019)
- An Approach to Help in Cloud Model Choice for Academia Services' Supplying
- 1 Introduction and Objectives
- 2 Related Works
- 3 Services Classification
- 4 Parameters Representation
- 5 Model Analysis
- 6 A Case Study
- 6.1 Survey Submission
- 6.2 Second Round
- 6.3 Final Results
- 7 Conclusion and Future Work
- References
- Italian Cloud Tourism as Tool to Develop Local Tourist Districts Economic Vitality and Reformulate Public Policies
- Abstract
- 1 Introduction
- 2 Literature Review
- 2.1 Categories of Innovation in the Tourism Sector
- 2.2 The Cloud System and ETourism
- 2.3 eTourism and Local Tourist Districts
- 3 Methodology
- Auto-scaling in the Cloud: Current Status and Perspectives
- 1 Introduction
- 2 The Auto-scaling Problem
- 3 Auto-scaling Approaches in the Literature
- 3.1 Load Prediction Approaches
- 3.2 Resource-Aware Approaches
- 3.3 SLA-Aware Approaches
- 3.4 COST-Aware Approaches
- 4 Auto-scaling Implementations
- 5 Research Directions
- 6 Conclusions
- References
- Dynamic Patterns for Cloud Application Life-Cycle Management
- 1 Introduction
- 2 Software Patterns and Semantics
- 3 Deployment Patterns
- 4 Cloud Application Life-Cycle
- 5 Application Adaptation
- 6 Discussion
- 7 Conclusion
- References
- From Monolith to Cloud Architecture Using Semi-automated Microservices Modernization
- 1 Introduction
- 2 Roadmap to Microservices
- 2.1 Monolithic Architecture
- 2.2 Microservice Architecture
- 3 State of the Art
- 4 Challenges with the Adoption of Microservices
- 4.1 Technical Challenges
- 4.2 Organizational Challenges
- 5 Methodology
- 5.1 Decomposition Phase
- 5.2 Microservices Production and Ranking Phase
- 5.3 Cloud Deployment Phase
- References
- Reinforcement Learning for Resource Allocation in Cloud Datacenter
- 1 Introduction
- 2 Resource Management
- 2.1 Resource Allocation
- 3 Related Work
- 4 Reinforcement Learning Based Resource Allocation
- 4.1 Problem Statement and Modelling
- 4.2 Markov Decision Processes
- 4.3 Model-Free Learning
- 5 Conclusions and Future Works
- References
- The 6th International Workshop on Distributed Embedded Systems (DEM-2019)
- DUST Initializr - CAD Drawing Platform for Designing Modules and Applications in the DUST Framework
- 1 Introduction
- 2 Distributed Uniform STreaming Framework
- 3 DUST Applications
- 4 DUST Initializr
- 4.1 Creating Modules
- 4.2 Creating Applications
- 5 Results
- 6 Conclusion
- References
- Distributed Task Placement in the Fog: A Positioning Paper
- 1 Introduction
- 2 State of the Art
- 3 Problem Definition
- 3.1 Optimization Technique Features
- 3.2 Techniques
- 3.3 Simulation
- 3.4 Use Case
- 4 Test
- 4.1 Test Setup and Results
- 5 Conclusion and Future Work
- References
- Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices
- 1 Introduction
- 2 State-of-the-art
- 3 Methods
- 3.1 Hard Constraints
- 3.2 Soft Constraints
- 3.3 Dynamic Cell Size
- 4 Experiments
- 4.1 Use Case
- 4.2 Configuration
- 4.3 Cells
- 5 Results
- 6 Conclusion and Future Work
- References
- Spiking Neural Network Implementation on FPGA for Robotic Behaviour
- 1 Introduction
- 2 Implementation
- 2.1 Spiking Neural Network
- 2.2 VHDL Components
- 2.3 HDL Verifier
- 2.4 MATLAB
- 2.5 Results
- 3 Reinforcement Learning Controllers
- 3.1 General
- 3.2 Metrics
- 3.3 Reinforcement Learning Model
- 3.4 Genetic Algorithm
- 4 Conclusions and Future Work
- References
- A New Approach to Selectively Implement Control Flow Error Detection Techniques
- 1 Introduction
- 2 Background and Related Work
- 3 Selective RACFED
- 3.1 High-Level Example
- 3.2 Change in Compile-Time Process
- 4 Experimental Setup
- 4.1 Criteria
- 4.2 Case Studies
- 4.3 Target
- 4.4 Fault Injection Process
- 5 Results
- 5.1 Fault Injection Results
- 5.2 Error Detection Cost
- 5.3 Error Detection Latency
- 6 Conclusions
- References
- In-Air Imaging Sonar Sensor Network with Real-Time Processing Using GPUs
- 1 Introduction
- 2 Sonar Synchronisation
- 3 Network
- 4 Real-Time Processing
- 4.1 Signal Processing
- 4.2 GPU Architecture
- 4.3 GPU Algorithm Implementation
- 5 Experimental Validation
- 6 Conclusion and Future Work
- References
- Comparing Machine Learning Algorithms for RSS-Based Localization in LPWAN
- 1 Introduction
- 2 Methodology
- 2.1 Dataset
- 2.2 Preprocessing Steps
- 2.3 Regression Algorithms
- 3 Results
- 4 Conclusion and Future Work
- References
- Learning to Communicate with Multi-agent Reinforcement Learning Using Value-Decomposition Networks
- 1 Introduction
- 2 Related Work
- 3 Background
- 4 Methods
- 4.1 Differentiable Inter-Agent Learning (DIAL)
- 4.2 Value Decomposition
- 4.3 Differentiable Inter-Agent Learning with Value Decomposition
- 4.4 Differentiable Inter-Agent Learning with Value Decomposition Networks
- 5 Results
- 5.1 Average Learning Performance
- 5.2 Average Peak Performance
- 6 Conclusion
- References
- AirLeakSlam: Automated Air Leak Detection
- 1 Introduction
- 2 Leak Detection and Localization
- 2.1 Leak Detection
- 2.2 Leak Localization
- 3 System Architecture
- 4 Experimental Results
- 5 Conclusion and Future Work
- References
- Simulating a Combination of TDoA and AoA Localization for LoRaWAN
- 1 Introduction
- 2 Related Work
- 2.1 Time Difference of Arrival
- 2.2 Angle of Arrival
- 3 Simulation
- 3.1 Input Data
- 3.2 TDoA and AoA Localization
- 4 Results
- 5 Conclusion
- References
- Localization Accuracy Performance Comparison Between LTE-V and IEEE 802.11p
- Abstract
- 1 Introduction
- 2 Vehicular Network System
- 3 Cramer Row Lower Bound for TDOA
- 4 Simulation Results
- 5 Conclusion
- References
- Online Reverse Engineering of CAN Data
- 1 Introduction
- 2 Previous Work
- 3 Techniques for Online Reverse Engineering
- 3.1 Detecting Signals
- 3.2 Identifying Signals
- 4 Detection and Identification of Discrete Signals
- 5 Experiments
- 5.1 Experimental Setup
- 5.2 Results and Discussion
- 6 Conclusion and Future Work
- References
- Time Synchronization with Channel Hopping Scheme for LoRa Networks
- 1 Background
- 1.1 LoRa and LoRaWAN
- 2 System Model - Implementation
- 2.1 Proof of Concept and System Architecture
- 2.2 Clock Synchronization
- 2.3 CCH
- 3 Evaluation
- 3.1 Guard Time and Sync Resolution
- 3.2 Channel Utilization and Distribution Using CCH
- 4 Application, Conclusion and Future Work
- References
- LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection
- 1 Introduction
- 2 Related Work
- 3 General System Overview
- 4 Fusion 1: Camera Hypothesis
- 4.1 Preprocessing
- 4.2 Fusion
- 5 Fusion 2: LiDAR Hypothesis
- 5.1 Preprocessing
- 5.2 Fusion
- 6 Evaluation and Benchmark
- 6.1 KITTI Benchmark
- 7 Results
- 8 Conclusion and Future Work
- References
- The 5th International Workshop on Signal Processing and Machine Learning (SiPML-2019)
- Apple Brand Classification Using CNN Aiming at Automatic Apple Texture Estimation
- Abstract
- 1 Introduction
- 2 Equipment
- 3 Experiment
- 4 CNN
- 5 Conclusion
- Acknowledgments
- References
- Fundamental Study on Evaluation System of Beginner's Welding Using CNN
- Abstract
- 1 Introduction
- 2 Method
- 3 Experiment
- 4 Conclusion
- References
- Building an Early Warning Model for Detecting Environmental Pollution of Wastewater in Industrial Zones
- Abstract
- 1 Introduction
- 2 Related Work
- 2.1 Building the Model Based on Support Vector Regression (SVR)
- 2.2 Building a Model Bases on Fuzzy Logic
- 2.3 Finding Embedding Dimension Space
- 3 Principles of Our Proposal
- 4 Simulation Results
- 5 Conclusions
- Acknowledgments
- References
- A Robust Fully Correntropy-Based Sparse Modeling Alternative to Dictionary Learning
- 1 Introduction
- 2 Correntropy-Based Sparse Modeling
- 2.1 Correntropy-Based OMP
- 2.2 Correntropy-Based Dictionary Update
- 2.3 Correntropy-Based Dictionary Learning
- 3 Results
- 4 Conclusion
- References
- Labeling Activities Acquired by a Low-Accuracy EEG Device
- 1 Introduction
- 2 Related Work
- 3 Data Collection
- 4 Methodology
- 4.1 Channel Selection
- 4.2 Feature Extraction from EEG Signals
- 4.3 Semi-labeling
- 5 Clustering Time Frames
- 5.1 Clustering the Smaller Data Set
- 5.2 Measuring Clustering Quality
- 5.3 Clustering Hyper-parameters
- 5.4 Clustering Results
- 6 Conclusion
- References
- The 2nd International Workshop on Business Intelligence and Distributed Systems (BIDS-2019)
- Data Sharing System Integrating Access Control Based on Smart Contracts for IoT
- 1 Introduction
- 1.1 Blockchain
- 1.2 Motivation
- 1.3 Problem Statement
- 1.4 Contribution
- 2 Related Work
- 3 Proposed System Model
- 3.1 Smart Contracts
- 3.2 Misbehavior
- 3.3 Data Permission Control
- 4 Simulation Results and Reasoning
- 4.1 Cost Consumption
- 5 Conclusion
- References
- Energy Trading Between Prosumer and Consumer in P2P Network Using Blockchain
- 1 Introduction
- 2 Motivation
- 3 Related Wok
- 3.1 Blockchain in Smart Grid
- 3.2 Blockchain in Vehicular Network
- 3.3 Blockchain in Network Communication
- 3.4 Blockchain in Wireless Sensor Network
- 4 Problem Statement
- 5 Proposed System Model
- 5.1 Proof of Authority
- 5.2 Smart Contract
- 6 Simulation and Results
- 7 Conclusion
- References
- Auto-Generating Examination Paper Based on Genetic Algorithms
- Abstract
- 1 Introduction
- 2 Genetic Algorithm
- 3 Genetic Algorithm Implementation Process
- 4 Genetic Algorithm Design
- 4.1 Chromosome Coding and Population Initialization
- 4.2 Fitness Function
- 4.3 Selection Operator
- 4.4 Crossover Operator
- 4.5 Mutation Operator
- 4.6 Evolutionary Termination
- 5 Summary
- Acknowledgments
- References
- The Data Scientist Job in Italy: What Companies Require
- Abstract
- 1 Introduction
- 2 The Data Scientist in Literature
- 3 Methodology
- 4 Findings and Discussion
- 5 Conclusions
- References
- An Architecture for System Recovery Based on Solution Records on Different Servers
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Proposed System
- 3.1 Construction of Knowledge Base
- 3.2 Virtual Evaluation Environment
- 3.3 Ranking of Commands in Knowledge Base
- 3.4 Feedback of Solution Result
- 4 Experiment
- 4.1 Experimental Environment
- 4.2 Experimental Method
- 4.3 Result
- 5 Conclusion
- References
- A Novel Approach for Selecting Hybrid Features from Online News Textual Metadata for Fake News Detection
- Abstract
- 1 Introduction
- 2 Related Work
- 3 A Model for Extracting Hybrid Features from Online News Textual Metadata
- 3.1 Document Preparation Stage
- 3.2 The Feature Engineering Stage
- 3.3 Learning and Detection Stages
- 4 Experimental Results and Discussion
- 4.1 Dataset Characteristics
- 4.2 Results and Discussion
- 5 Conclusions and Future Work
- References
- Author Index
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