Green, Pervasive, and Cloud Computing

Name: Green, Pervasive, and Cloud Computing | 13th International Conference, GPC 2018, Hangzhou, China, May 11-13, 2018, Revised Selected Papers
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13th International Conference, GPC 2018, Hangzhou, China, May 11-13, 2018, Revised Selected Papers

Shijian Li(Herausgeber*in)

Springer (Verlag)

Erschienen am 14. März 2019

XIV, 526 Seiten

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978-3-030-15093-8 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
Network, Security and Privacy-Preserving
A Complex Attacks Recognition Method in Wireless Intrusion Detection System
Abstract
1 Introduction
1.1 Related Works
1.2 Organization of the Paper
2 MSWIDS General Designs
3 MSWIDS Detailed Design
3.1 LAG Generator
3.2 VTG Generator
3.3 Attack Path Analysis
3.4 Complex Attack Assessment
4 Experimental Environment and Result Analysis
4.1 De-authentication Attack Scenario
4.2 Recognition Result
5 Conclusions
Acknowledgements
References
Malware Detection Using Logic Signature of Basic Block Sequence
Abstract
1 Introduction
2 Structure of Malware Detector Based on Logic Signature
3 Extracting Logical Behavior of Basic Block
3.1 Basic Block Logic Extracting
3.2 The Expression of Basic Block Logic
3.3 Feature Generating and Selecting Based on the Basic Block Logic
3.4 The Comparison of Features
4 Experimentation
4.1 Data Collecting
4.2 Training and Testing
4.3 Evaluation Criteria
4.4 Experimental Results
5 Conclusions and Future Work
Acknowledgment
References
Verifiable and Privacy-Preserving Association Rule Mining in Hybrid Cloud Environment
1 Introduction
2 Preliminaries
3 Problem Statement
3.1 System Model
3.2 Threat Model
3.3 Design Objectives
4 Proposed Privacy-Preserving Building Blocks
4.1 Secure Data Outsourcing Scheme
4.2 Secure Addition Protocol (SA)
4.3 Secure Multiplication Protocol (SM)
4.4 Secure Comparison Protocol (SC)
4.5 Integrity Verification Scheme (IV)
5 Proposed Outsourced Mining Protocol
5.1 Design Details
6 Security Analysis
7 Performance Analysis
7.1 Theoretical Analysis
7.2 Experimental Analysis
8 Conclusion
References
Resource and Attribute Based Access Control Model for System with Huge Amounts of Resources
Abstract
1 Introduction
2 Related Works
3 RA-BAC Model
3.1 Attribute Definitions
3.2 Access Control Policy
3.3 Structure of RA-BAC Model
3.4 Evaluation of RA-BAC Model
4 Illustrative Scenario
5 Conclusion
Conflict of Interest Statement
References
Urban Data Acquisition Routing Approach for Vehicular Sensor Networks
Abstract
1 Introduction
2 System Models
2.1 Network Model
2.2 Distributed Event Occurrence Model
2.3 Mobility Models
3 The Proposed MURD
3.1 Clustering
3.2 Data Acquisition Process
4 Simulation and Result
4.1 Simulation Environment
4.2 Simulation Results
5 Conclusion
Acknowledgements
References
Pervasive Sensing and Analysis
Searching the Internet of Things Using Coding Enabled Index Technology
Abstract
1 Introduction
2 System Architecture
3 Safe Region Construction
3.1 Frequent Query Grid Cell Mining
3.2 Construction Method of Predictive Safe Region
4 Structure and Algorithm
4.1 Index Structure
4.2 Keywords Encoding
4.3 Predictive Range Query
5 Implementation and Evaluation
5.1 Setup
5.2 SMSTK Query Performance
5.3 Query Performance Comparison
6 Related Work and Comparison
7 Conclusion
Acknowledgment
References
Fuel Consumption Estimation of Potential Driving Paths by Leveraging Online Route APIs
1 Introduction
2 Basic Concepts
3 Building Fuel Consumption Model
3.1 Necessary Fuel Consumption Rate
3.2 Extra Fuel Consumption Rate
3.3 Fuel Consumption Model (FCM)
4 Estimating Fuel Consumption of Paths by Leveraging Route APIs
4.1 Real-Time Traffic Information Collection via Online Route APIs
4.2 Fuel Usage Estimation of the Shortest and the Fastest Path
5 Evaluation
5.1 Experiment Setup
5.2 Evaluation on FCM
5.3 Evaluation on Traffic Information Collection
6 Conclusion
References
Large-Scale Semantic Data Management For Urban Computing Applications
Abstract
1 Introduction
2 Related Works
3 Encoding Pattern
4 Semantic Data Indexing and Expanding
4.1 Indexing
4.2 Expanding
5 Experiment
5.1 Dataset and Metrics
5.2 Effectiveness Evaluation
6 Conclusion
References
Parking Availability Prediction with Long Short Term Memory Model
1 Introduction
2 Related Work
3 Parking Availability Prediction Model
3.1 Overview of Parking Prediction Architecture
3.2 Clustering Methodology
3.3 Recurrent Neural Networks and Long Short Term Memory
3.4 Regression Model
4 Experiments
4.1 Data Set
4.2 Parking Occupancy Prediction
4.3 Duration Time Factors
5 Conclusion and Future Work
References
Time-Based Quality-Aware Incentive Mechanism for Mobile Crowd Sensing
Abstract
1 Introduction
2 Related Work
3 Problem Formulation and Proposed Solution
3.1 System Overview
3.2 The Predict Quality of Data (p-QOD)
3.3 Incentive Mechanism in SOUS Model
3.3.1 Mechanism Design
3.4 QOD-VCG Auction in User Payment
3.4.1 Weight the True Quality of Data (t-QOD)
3.4.2 Mechanism Design
4 Performance Evaluation
4.1 Data Description
4.2 Baseline Method
4.3 Experiment Settings
4.4 Performance Evaluation
5 Conclusion
Acknowledement
References
Cloud Computing, Mobile Computing and Crowd Sensing
Container-Based Customization Approach for Mobile Environments on Clouds
1 Introduction
2 Research Motivation
3 System Design
3.1 Overview
3.2 AndroidKit
3.3 AndroidX
4 Implementation
5 A Case Study
5.1 Boot Time
5.2 Memory Footprint
5.3 Disk Usage
6 Related Work
7 Conclusion
References
A Dynamic Resource Pricing Scheme for a Crowd-Funding Cloud Environment
Abstract
1 Introduction
2 Related Works
3 Problem Statement
3.1 Description of Application Scenarios
3.2 Modeling and Related Definitions
4 Resource Pricing Model
4.1 The Game Process Between the Broker and Resource Owner
4.2 Analysis of the Solutions
5 Simulations
5.1 Comparison with Fixed
5.2 Comparison with Fixed Pricing
5.3 Comparison with S-P Scheme
6 Conclusion
References
Multi-choice Virtual Machine Allocation with Time Windows in Cloud Computing
Abstract
1 Introduction
2 Preliminaries
3 Dynamic Programming Algorithm
4 A Heuristic Algorithm
5 Experimental Results
6 Conclusion
Acknowledgments
References
Fine-Gained Location Recommendation Based on User Textual Reviews in LBSNs
Abstract
1 Introduction
2 Related Work
2.1 World-Level Method
2.2 Aspect-Level Method
3 Overview of Fine-Gained Location Recommendation
3.1 Preliminary
3.2 Recommendation Framework
3.2.1 Extracting Aspect-Sentiment Pairs from User's Textual Reviews
3.2.2 Learning to Rank Aspects Using Aspect-Sentiment Pairs
3.2.3 Making Fine-Gained Location Recommendation
4 Learning to Rank Aspects Using Aspect-Sentiment Pairs
5 Making Fine-Gained Location Recommendation
5.1 Estimating the Direct User-Location Rating
5.2 Estimating the Aspect Rating
6 Experiment Evaluation
6.1 Experimental Settings
6.1.1 Datasets
6.1.2 Evaluated Techniques
6.1.3 Evaluation Metric
6.2 Experimental Results
6.2.1 Impact of Model Parameters
6.2.2 Recommendation Effectiveness for All Users
6.2.3 Recommendation Effectiveness for Cold-Start Users
7 Conclusions and Future Work
References
Social and Urban Computing
Estimating Origin-Destination Flows Using Radio Frequency Identification Data
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Trip-Leg Driving Time Calculation
3.2 Stay Estimation
3.3 Trip Extraction
4 Case Study
4.1 Data Description
4.2 Data Filtering
4.3 Results and Validation
5 Conclusion
References
A Multi-task Decomposition and Reorganization Scheme for Collective Computing Using Extended Task-Tree
Abstract
1 Introduction
2 Related Work
3 Problem Formulation
3.1 Task Decomposition Model
3.2 Problem Formulation
4 Task-Tree Construction
5 Task-Tree Optimization
5.1 Task-Tree Initialization
5.2 Similar Tasks Detection
5.3 Task-Tree Pruning
5.4 Tasks Reorganization
6 Evaluations
6.1 The Parameters of Simulation Experiments
6.2 Analysis of Result
7 Conclusion
Acknowledgement
References
CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data
1 Introduction
2 Related Work
2.1 App Popularity Prediction
2.2 Competitive Analysis
3 Data Acquisition and Analysis
3.1 App Store Data
3.2 Microblogging Data
4 Problem Statement and System Framework
4.1 Problem Statement
4.2 System Framework
5 Popularity Contest Prediction
5.1 Coarse-Grained Competitive Features
5.2 Fine-Grained Competitive Features
5.3 Popularity Contest Prediction
6 Performance Evaluation
6.1 Experimental Setup
6.2 Experimental Results
7 Conclusion
References
Dual World Network Model Based Social Information Competitive Dissemination
Abstract
1 Introduction
2 Small World Network and Establishment of the Dual World Network
2.1 Small World Network
2.2 Conceptual Proposition and Mathematical Description of Dual World Network Model
2.3 The Opinion Accept Rules
3 Model Simulation Results
3.1 Multi-viewpoint of the Simulation Results
3.2 Discussion on the Phenomenon of Islands of Interest
4 Conclusions
References
Parallel and Distribution Systems, Optimization
WarmCache: A Comprehensive Distributed Storage System Combining Replication, Erasure Codes and Buffer Cache
1 Introduction
2 Related Work
2.1 Triple Replication
2.2 Erasure Codes
2.3 Combination of Triple Replication and Erasure Codes
2.4 Motivation of Our Idea
3 WarmCache Design
3.1 Key Idea
3.2 Identify Data Temperatures and Thresholds
3.3 Data Reallocation Policies
3.4 Memory Eviction Policies
4 Evaluation
4.1 Methodology
4.2 Experimental Results
4.3 Analysis
5 Conclusion
References
imBBO: An Improved Biogeography-Based Optimization Algorithm
Abstract
1 Introduction
2 Related Work
3 Problem Definition
4 Our Approach
4.1 The Structure of imBBO
4.2 Hybrid Migration Operation
5 Experimental Setup
5.1 Benchmark Functions
5.2 Performance Mertrics
5.3 Algorithm Settings
5.4 Measurement Settings
6 Results
6.1 Performance Results
6.2 Convergence Speed
7 Discussion
7.1 Research Questions
7.2 Results Analyzing
8 Conclusion
Acknowledgments
References
An Efficient Consensus Protocol for Real-Time Permissioned Blockchains Under Non-Byzantine Conditions
Abstract
1 Introduction
2 Related Work
2.1 Consensus Protocols in Blockchains
2.2 Blockchain Applications
3 Design and Analysis of Dynasty Consensus Protocol
3.1 Raft and Its Limitations
3.2 Dynasty Consensus Protocol
4 Design of Blockchains Based on Dynasty Protocol
4.1 Three-Layer Design
4.2 Fault Tolerance
5 Case Study
5.1 Used-Vehicle Trading Model
5.2 Evaluation and Analysis
6 Conclusion
Acknowledgment
References
EDF-Based Mixed-Criticality Systems with Weakly-Hard Timing Constraints
Abstract
1 Introduction and Relate Work
2 System Models and Preliminaries
2.1 Task Model
2.2 Notations
3 Unified Demand Bound Analysis
3.1 Demand Bound Analysis in LO-Crit Mode
3.2 Demand Bound Analysis in HI-Crit Mode
3.3 Test Region
4 Evaluation and Discussions
5 Conclusions
Acknowledgements
References
GA-Based Mapping and Scheduling of HSDF Graphs on Multiprocessor Platforms
Abstract
1 Introduction
1.1 SDF Graphs
1.2 Problem Formulation
2 Related Work
3 Constructing Architecture-Aware Models
4 GA-Based Optimization Algorithm
5 Experimental Evaluation
6 Conclusions
Acknowledgements
References
Integration and Evaluation of a Contract-Based Flexible Real-Time Scheduling Framework in AUTOSAR OS
Abstract
1 Introduction and Related Work
2 Key Modules of FRESCOR
2.1 Core Module
2.2 Dynamic Reclamation and Spare Capacity Module
2.3 Hierarchical Scheduling Module
3 Implementation Details
4 Performance Evaluation
5 Conclusions and Future Work
Acknowledgements
References
Pervasive Application
A Low-Cost Service Node Selection Method in Crowdsensing Based on Region-Characteristics
Abstract
1 Introduction
2 ReLSNS Method
2.1 Frameworks of ReLSNS
2.2 Voronoi Diagram Partition
2.3 Eigenvector-Based Regions Matching
2.4 Selection of Service Nodes Based on Greedy Algorithm
3 Experiment
3.1 Region Partition Based on Voronoi Diagram
3.2 Evaluation of Service Node Selection Accuracy
3.3 Evaluation of Timeliness
3.4 Generalization of Experimental Results
4 Conclusion
Acknowledgments
References
Electric Load Forecasting Based on Sparse Representation Model
Abstract
1 Introduction
2 Related Works
3 Preliminaries
4 SRM for Electric Load Forecasting
4.1 Data Preprocessing
4.2 Dictionary Construction
4.3 Sparse Representation for Load Forecasting
5 Experiments and Results
5.1 Experiment Results with the First Data Set
5.2 Experiment Results with the Second Data Set
6 Conclusion
Acknowledgement
References
Sensing Urban Structures and Crowd Dynamics with Mobility Big Data
Abstract
1 Introduction
2 Related Work
2.1 Analysis of Urban Regional Structure
2.2 Research on the Impact of Urban Events on Crowd Dynamic
3 Dataset Description
3.1 Taxi GPS Dataset
3.2 Social Media Dataset
4 Framework Overview
5 Urban Structure Portrait
5.1 Urban Grid Generation
5.2 Urban Grid Clustering
6 Crowd Dynamic Characterization
6.1 Regional Abnormal Traffic Flow Detection
6.2 Urban Event Interpretation
7 Evaluation
7.1 Experiment Settings
7.2 Evaluation Results
7.3 Visualization Display of Crowd Dynamic
8 Conclusion
Acknowledgment
References
A Multiple Factor Bike Usage Prediction Model in Bike-Sharing System
Abstract
1 Introduction
2 Related Work
3 Preliminary and Framework
4 Problem Analysis
4.1 Temporal Factor
4.2 Meteorological Factor
5 Modeling
5.1 Meteorological Factor
5.2 Lagged Variable of Weather Condition
5.3 MFR-ARMA Model
6 Experiments
6.1 Datasets
6.2 Baselines and Metric
6.3 Clustering Study
6.4 Weather Condition Study
6.5 Evaluation Result
7 Conclusion
Acknowledgment
References
Data Mining and Knowledge Mining
Talents Recommendation with Multi-Aspect Preference Learning
Abstract
1 Introduction
2 Related Works
2.1 Job Recommendation
2.2 Personnel Selection
3 Problem Statement and System Overview
3.1 Problem Statement
3.2 System Overview
4 Data Collection
5 Preference Feature Extraction
5.1 Preliminaries
5.2 Global Preference
5.3 User Preference
5.4 Job Preference
6 Inference Model
6.1 General Model
6.2 Cold-Start Problem
7 Experiments
7.1 Data Illustration
7.2 Parameter Learning
7.3 Feature Evaluation
7.4 Recommendation Results
8 Conclusion and Future Works
References
A Temporal Learning Framework: From Experience of Artificial Cultivation to Knowledge
Abstract
1 Introduction
2 Related Work
3 Temporal Knowledge Learning Framework
3.1 MTS Algorithm
3.2 Computing Intervals Using Bayesian Decision Rule
3.3 Decision Tree Learning
4 An Artificial Cultivation Experience Learning Example
4.1 Temporal Characteristic Analysis
4.2 Results of MTS Algorithm
4.3 K-Fold Cross Validation Results
4.4 Out-of-Bag Estimate of Random Forests
4.5 Climatic Knowledge Cube for Dendrobium Officinale Cultivation
5 Conclusion
Acknowledgment
References
A Recency Effect Hidden Markov Model for Repeat Consumption Behavior Prediction
Abstract
1 Introduction
2 Related Work
3 Methodology
4 Experiment
4.1 Dataset
4.2 Recency Effect Factor Parameters Choosing
4.3 Result Analysis
5 Conclusion
Acknowledgment
References
Forecast of Port Container Throughput Based on TEI@I Methodology
Abstract
1 Introduction
2 TEI@I Based Hybrid Forecasting Model
3 Model Introduction
3.1 ARIMA Model
3.2 BP Neural Networks Model
4 Case Study
4.1 Data Description and Evaluation Criteria
4.2 Performance Measures
4.3 Prediction Model
5 Conclusion
Acknowledgements
References
Posters
Named Entity Recognition Based on BiRHN and CRF
Abstract
1 Introduction
2 Model
2.1 RHN
2.2 CRF
2.3 Structure
2.4 Tagging Schemes
3 Word Embeddings
3.1 The Overall Structure of Word Embedding
3.2 Pretrained Embeddings
3.3 Dropout Training
4 Experiment
4.1 Training
4.2 Training
4.3 Results
5 Conclusion
References
Quadratic Permutation Polynomials-Based Sliding Window Network Coding in MANETs
Abstract
1 Introduction
2 Related Works
3 Quadratic Permutation Polynomials
4 Sliding Encoding Window Model
4.1 Sliding Window Mechanism
4.2 Network Coding Mechanism
5 Simulation Experiments
5.1 Simulation Scenario
5.2 Simulation Results
6 Conclusion
References
Image Retrieval Using Inception Structure with Hash Layer for Intelligent Monitoring Platform
Abstract
1 Introduction
2 Inception Structure with Hash Layer for Image Retrieval
2.1 Proposed Framework of Deep Learning
2.2 Inception Structure with Hash Layer
2.3 Image Retrieval via Binary Hash Codes
3 Experiment Results
4 Conclusion
Acknowledgments
References
Retail Consumer Traffic Multiple Factors Analysis and Forecasting Model Based on Sparse Regression
Abstract
1 Introduction
2 Methods
2.1 Forecasting Framework Overview
2.2 Multi-factor Dictionary
2.3 Multi-factors Sparse Coding
3 Experiment and Result
3.1 Setting
3.2 Impact of Different Factors on Accuracy
3.3 The Prediction Result in Different Shop Types
4 Conclusion
Acknowledgment
References
Consulting and Forecasting Model of Tourist Dispute Based on LSTM Neural Network
Abstract
1 Overview
2 Forecasting Model
3 Building the Forecasting Model
3.1 Model Training
3.2 Model Execution
4 Experiment
4.1 Experimental Data
4.2 Experimental Parameters
4.3 Experimental Result
5 Conclusion
References
Research and Design of Cloud Storage Platform for Field Observation Data in Alpine Area
Abstract
1 Introduction
2 Related Works
3 Cloud Storage Platform Design
3.1 System Architecture Design
3.2 Overall Structure Design
4 Conclusions
Acknowledgement
References
A Novel PSO Algorithm for Traveling Salesman Problem Based on Dynamic Membrane System
Abstract
1 Introduction
1.1 A Subsection Sample
2 Theoretical Background
2.1 Conceptions of Star Active Membrane System
2.2 Conceptions of Particle Swarm Optimization Algorithm
3 Methodology
3.1 Neighborhood Searching Based Learning Strategy
4 Algorithm Test: The NPSO for Clustering Problem
4.1 Datasets and Parameters' Setting
4.2 Experimental Results
5 NPSO Algorithm for Traveling Salesman Problem
6 Conclusion
References
Breaking Though the Limitation of Test Components Using in Authentication Test
Abstract
1 Introduction
2 Basic Notions
2.1 Symbols
2.2 Notions
3 Limitations of Nested Encryption Test Component
3.1 Uncertainty
3.2 Redundancy
4 Limitations of Strong Authentication Test Theorems
4.1 Scope of the Definitions Use
4.2 Incorrect Strong Unsolicited Test
5 Improvement
5.1 Improved Definition
5.2 Improved Theorem
5.3 Using NE Theorems
6 Conclusion
References
Author Index

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