
Edge Computing and IoT: Systems, Management and Security
Description
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The 11 full papers of ICECI 2020 were selected from 79 submissions and present results and ideas in the area of edge computing and IoT.
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Content
- Intro
- Preface
- Conference Organization
- Contents
- Cloud-Edge Computing
- Energy Efficient Service Composition with Delay Guarantee in a Cloud-Edge System
- 1 Introduction
- 2 Problem Statement
- 2.1 Service Path
- 2.2 Service Instance
- 2.3 Service Graph
- 2.4 Service (Instance) Chain
- 3 Service Composition Algorithm
- 3.1 The Delay of a Service Chain
- 3.2 Data-Aware Service Composition Algorithm
- 4 Evaluation
- 4.1 Simulation Settings
- 4.2 Results Analysis
- 5 Conclusion
- References
- SmartDis: Near-Optimal Task Scheduling in Multi-edge Networks
- 1 Introduction
- 2 Related Work
- 3 Model and Problem Formulation
- 3.1 System Model
- 3.2 Problem Formulation
- 4 The SmartDis Algorithm
- 4.1 Determining Upload Orders
- 4.2 Computing Slot Selection and Task Scheduling
- 5 Experiments
- 5.1 Experimental Setup
- 5.2 Execution Performance
- 5.3 Fairness
- 5.4 Sensitivity
- 5.5 Scheduling Execution Cost
- 6 Conclusion
- References
- Low-Carbon Emission Driven Traffic Speed Optimization for Internet of Vehicles
- 1 Introduction
- 2 Interaction Between Vehicles and Traffic Signals Within IoV
- 3 Simulation Framework of Traffic Flow-CO2 Emission
- 4 Impact of Speed on Vehicle CO2 Emission
- 5 Recommended Speed Calculation Scheme
- 5.1 Road Condition Detection
- 5.2 Information Exchange
- 5.3 Recommended Speed Calculation
- 6 Simulations and Results
- 6.1 Simulation Settings
- 6.2 Simulation Results and Analysis
- 7 Conclusions
- References
- Data Gathering System Based on Multi-layer Edge Computing Nodes
- 1 Introduction
- 2 Related Work
- 3 Theoretical Basis
- 3.1 Compressed Sensing
- 3.2 Random Walk
- 4 Multi-layer Edge Data Collection System
- 4.1 System Model and Problem Description
- 4.2 Data Collection Process
- 4.3 Train the Task Assignment Process
- 5 Analysis of Experimental Results
- 5.1 Performance Measures
- 5.2 Experimental Setup
- 5.3 Comparison of Experimental Results
- 6 Summary
- References
- Resource Allocation Method of Edge-Side Server Based on Two Types of Virtual Machines in Cloud and Edge Collaborative Computing Architecture
- 1 Introduction
- 2 Related Work
- 3 Architecture and Workflow
- 3.1 Computing Architecture
- 3.2 Workflow
- 4 Resource Allocation for IO-intensive Virtual Machines
- 4.1 Computing Architecture
- 4.2 Resource Allocation Model
- 4.3 Priority List and Resource Allocation
- 5 Resource Allocation for CPU-intensive Virtual Machines
- 5.1 Resource Allocation Model
- 5.2 Resource Allocation
- 6 Experiment and the Results
- 6.1 Experimental Configuration
- 6.2 Experimental Results
- 7 Conclusions
- References
- Few Shot Learning Based on the Street View House Numbers (SVHN) Dataset
- 1 Introduction
- 2 Related Work
- 3 MAML Algorithm Introduction
- 3.1 Convolution Neural Network
- 3.2 Pseudo Code
- 3.3 Apply to SVHN
- 4 Experiment
- 4.1 Preparation
- 4.2 Two Way One Shot Learning
- 4.3 Two Way Five Shot Learning
- 4.4 Five Way Five Shot Learning
- 5 Comparison with Siamese Network
- 5.1 Siamese Neural Networks
- 5.2 Experiment
- 5.3 Comparison
- 6 Conclusions and Future Works
- References
- Smart Sensing
- TouchSense: Accurate and Transparent User Re-authentication via Finger Touching
- 1 Introduction
- 2 Background
- 2.1 Behavior-Based User Re-authentication
- 2.2 Biometric-Based User Re-authentication
- 3 Scheme Design
- 3.1 Data Sampling
- 3.2 Curve Fitting
- 3.3 Feature Vector Extraction
- 3.4 Feature Matching (Authentication)
- 3.5 User-Legitimate Model
- 4 Evaluation Results
- 4.1 Experimental Platform Setup
- 4.2 Test Results
- 5 Discussion
- 5.1 Feature Works
- 5.2 Ethical Concerns
- 6 Conclusion
- References
- Android Malware Detection Using Ensemble Learning on Sensitive APIs
- 1 Introduction
- 2 Related Work
- 2.1 Dynamic Detection Method
- 2.2 Static Detection Method
- 3 Feature Extraction and Analysis
- 3.1 Preliminaries
- 3.2 Feature Generation
- 4 Detection System Design
- 4.1 Ensemble Learning Detection Model
- 4.2 Base Classifiers
- 4.3 Weighting Combination Strategy
- 5 The Results of Experimental
- 5.1 Experimental Environment
- 5.2 Evaluation Indeces
- 5.3 Analysis of Experimental
- 6 Conclusion
- References
- Efficient Missing Tag Identification in Large High-Dynamic RFID Systems
- 1 Introduction
- 2 Related Work
- 3 System Model and Problem Statement
- 3.1 System Model
- 3.2 Problem Formulation
- 4 Protocol Design
- 4.1 Design Overview
- 4.2 Detail Description
- 5 Parameter Optimization
- 5.1 Setting the Key Length l
- 5.2 Determining the Optimal Frame Size f
- 6 Performance Evaluation
- 6.1 The Impact of Required Identification Accuracy
- 6.2 The Impact of the Number of Unknown Tags
- 6.3 The Impact of the Number of Missing Tags
- 6.4 The Impact of the Number of Initial Known Tags
- 6.5 False Positive Tags
- 7 Conclusion
- References
- Internet of Things
- Self-secure Communication for Internet of Things
- 1 Introduction
- 2 Related Work
- 3 Self-secure Communication
- 3.1 Notations
- 3.2 Key Establishment Stage
- 3.3 Secure Communication Stage
- 4 Experiment
- 5 Conclusion
- References
- Characterization of OFDM Based Free Space Optical (FSO) Transmission System Under Heavy Rain Weather
- 1 Introduction
- 2 Characterization of the FSO Channel Model
- 2.1 Receive Optical Power
- 2.2 Beam Divergence Impact Analysis
- 2.3 Rain-Attenuation Models
- 3 Simulation Setup
- 4 Simulation Results
- 5 Conclusion
- References
- Author Index
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