Algorithms and Architectures for Parallel Processing 15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part II
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| Main Authors | , , , |
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| Format | eBook |
| Language | English |
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Cham
Springer International Publishing AG
2015
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| Edition | 1 |
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| Online Access | Get full text |
| ISBN | 9783319271217 3319271210 |
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| Author | Li, Kenli Zomaya, Albert Perez, Gregorio Martinez Wang, Guojun |
|---|---|
| Author_xml | – sequence: 1 fullname: Wang, Guojun – sequence: 2 fullname: Zomaya, Albert – sequence: 3 fullname: Perez, Gregorio Martinez – sequence: 4 fullname: Li, Kenli |
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| Subtitle | 15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part II |
| TableOfContents | 3.3 Spatial View 4.4 Scalability Performance of Parallelized SHDC -- 5 Conclusion -- Acknowledgments -- References -- Identification of Natural Images and Computer Generated Graphics Using Multi-fractal Differences of PRNU -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Image Processing Based on Fractal Theory -- 2.2 Image Source Identification Based on Fractal Dimension -- 2.3 Image Source Identification Based on Multi-fractal Features -- 3 PRNU and Its Multi-fractal Spectrum -- 3.1 Extraction of PRNU -- 3.2 Multi-fractal Spectrum of PRNU -- 3.3 Feature Extraction -- 4 Description of the Proposed Scheme -- 4.1 Feature Extraction -- 4.2 Classification -- 5 Experimental Results -- 5.1 Performance Analysis -- 6 Conclusions -- Acknowledgments -- References -- Feature Selection Method Based on Feature's Classification Bias and Performance -- 1 Introduction -- 2 Feature's Classification Ability -- 2.1 Classification Bias -- 2.2 Classification Performance -- 2.3 Comparison and Analysis -- 3 Feature Selection in CP Vector Space -- 3.1 CPS -- 3.2 Experiment and Analysis -- 4 Conclusion -- References -- Enriching Document Representation with the Deviations of Word Co-occurrence Frequencies -- 1 Introduction -- 2 Related Work -- 3 Document Enrichment -- 3.1 The Upper and Lower Bounds -- 3.2 Eliminating the Duplicate Counts -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Performance Evaluations -- 4.3 Further Comparison Between CVM and ECVM -- 4.4 Parameter Selection -- 5 Conclusion -- References -- Big Data Analytics and Visualization with Spatio-Temporal Correlations for Traffic Accidents -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Accident Occurrences Analysis -- 2.2 Crash Types Analysis -- 2.3 Accident Visualization -- 3 Accident Occurrences Analytics in Temporal and Spatial View -- 3.1 Datasets and Data Pre-processing -- 3.2 Temporal View 3 Preliminary Knowledge of FASTLoad -- 3.1 Preliminary Knowledge for Set Theory -- 3.2 Preliminary Knowledge for Query Optimization -- 3.3 Analysis of Data Load Theory -- 4 Methodology of FASTLoad -- 4.1 Architecture of the Proposed Adaptable Loading System -- 4.2 The FASTLoad Algorithm -- 5 Evaluation -- 5.1 Experimental Setup -- 5.2 Loading Environment -- 5.3 Results and Performance Analysis -- 6 Conclusions -- References -- Tradeoff Between the Price of Distributing a Database and Its Collusion Resistance Based on Concatenated Codes -- 1 Introduction -- 2 Related Work -- 2.1 k-anonymity -- 2.2 Traitor Tracing -- 2.3 Database Distribution -- 2.4 Perfect Collusion -- 2.5 Data Precision Metric -- 3 Preliminaries -- 3.1 Coding Theory -- 3.2 Reed-Solomon Codes and Concatenated Codes -- 4 Proposed Scheme -- 4.1 Regulatory Compliance -- 4.2 Embedding and Extracting Phases -- 4.3 Price of Distributing a Database and Its Collusion Resistance -- 4.4 Guideline for Distributing a Database -- 5 Analysis -- 5.1 Price of Distributing a Database -- 5.2 Lower and Upper Bounds -- 5.3 Comparison -- 6 Conclusion -- A Omitted Proofs from Sect.?? -- References -- A MapReduce Reinforced Distributed Sequential Pattern Mining Algorithm -- Abstract -- 1 Introduction -- 2 Related Work -- 3 A Review of GSP -- 4 DGSP Algorithm -- 5 Experiment and Result Analysis -- 6 Conclusion and Future Work -- Acknowledgments -- References -- SHDC: A Fast Documents Classification Method Based on Simhash -- Abstract -- 1 Introduction -- 2 Preliminaries -- 2.1 Simhash -- 2.2 TF-IDF -- 2.3 Spark Parallel Computing Framework -- 3 The SHDC Method -- 3.1 Feature Vector Extraction -- 3.2 Category Determination -- 3.3 Theoretic Analysis -- 4 Experimental Evaluation -- 4.1 Within-Class and Among-Class Similarity -- 4.2 Classification Precision -- 4.3 Running Time Comparison of Different Methods Intro -- Welcome Message from the ICA3PP 2015 General Chairs -- Welcome Message from the ICA3PP 2015 Program Chairs -- Welcome Message from the ICA3PP 2015 Workshop Chairs -- Welcome Message from the TrustData 2015 Program Chairs -- Welcome Message from the TSP 2015 Program Chairs -- Welcome Message from the NOPE 2015 Program Chair -- Welcome Message from SCS 2015 Program Chairs -- Welcome Message from the SPPCN 2015 Program Chairs -- Welcome Message from the DependSys 2015 Program Chairs -- Organization -- TrustData 2015 Organizing and Program Committees -- TSP 2015 Organizing and Program Committees -- NOPE 2015 Organizing and Program Committees -- SCS 2015 Organizing and Program Committees -- SPPCN 2015 Organizing and Program Committees -- DependSys 2015 Organizing and Program Committees -- Contents - Part II -- Big Data and Its Applications -- PAHDFS: Preference-Aware HDFS for Hybrid Storage -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Preference Model -- 3.1 Calculation of Preference Degree -- 3.2 Data Distribute Algorithm -- 4 Implementation of PAHDFS -- 5 Experiments -- 5.1 Experiments Platform -- 5.2 File Access Performance Test -- 5.3 Wordcount and Grep -- 6 Conclusion -- References -- Urban Traffic Congestion Prediction Using Floating Car Trajectory Data -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Traffic Congestion Prediction -- 3.1 The TFP Module -- 3.2 The CSFD Module -- 4 Experiment and Discussion -- 4.1 The Floating Car Data -- 4.2 Performance Indexes -- 4.3 Traffic Flow Prediction -- 4.4 Congestion State Prediction -- 5 Conclusion -- Acknowledgments -- References -- A Metadata Cooperative Caching Architecture Based on SSD and DRAM for File Systems -- 1 Introduction -- 2 Motivation and Relate Work -- 3 ACSH Design -- 3.1 Design Goals -- 3.2 ACSH Architectural Overview -- 4 Design Components 4.1 Metadata Cooperative Cache Based on DRAM and SSD -- 4.2 Unified Management Framework -- 4.3 The Size of Filter Cache Setting Policy -- 5 Evaluation -- 5.1 PVFS2 Framework -- 5.2 Workloads -- 5.3 Results -- 6 Conclusion and Future Work -- References -- Parallel Training GBRT Based on KMeans Histogram Approximation for Big Data -- 1 Introduction -- 2 Background -- 2.1 Gradient Boosting Regression Tree -- 2.2 Kernel Density Estimation -- 3 Related Work -- 4 Parallel GBRT Training Algorithm -- 4.1 KMeans Histogram Approximation for Regression Tree -- 4.2 Parallelization -- 5 Evaluation -- 5.1 Platforms and Benchmarks -- 5.2 Performance Analysis -- 5.3 Performance in Large Scale Real-World Applications -- 6 Conclusion and Future Work -- References -- DBSCAN-M: An Intelligent Clustering Algorithm Based on Mutual Reinforcement -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Motivational Factors -- 3.1 DBSCAN Algorithm -- 3.2 HITS Algorithm -- 4 DBSCAN-M Algorithm -- 4.1 Limitations of DBSCAN -- 4.2 Theoretical Basis -- 4.3 Mutual Reinforcement -- 4.4 Algorithm Phases -- 5 Experimental Studies -- 6 Conclusions -- Acknowledgements -- References -- An Effective Method for Gender Classification with Convolutional Neural Networks -- 1 Introduction -- 2 Related Works -- 3 Convolutional Neural Networks -- 3.1 Architecture -- 3.2 Convolutional Layers -- 3.3 Pooling Layers -- 3.4 Regularization -- 4 Experiments -- 4.1 Datasets and Computers -- 4.2 Data Preprocessing -- 4.3 Hyperparameters and Training -- 4.4 Results and Comparation -- 5 Application to Gender Recognition from Camera -- 6 Conclusion -- References -- AQUAdex: A Highly Efficient Indexing and Retrieving Method for Astronomical Big Data of Time Series Images -- 1 Introduction -- 2 Related Work -- 2.1 Existing Workflow of Extracting Time Series Images -- 2.2 Related Work on Querying Big Data 3 Introducing AQUAdex -- 3.1 Analysis of the Problem -- 3.2 A Direct Indexing Method -- 3.3 AQUAdex -- 4 Experimental Results -- 4.1 Building Spatial Index -- 4.2 The Optimal Partition Level -- 4.3 Scalability -- 5 Conclusion and Future Work -- References -- SAKMA: Specialized FPGA-Based Accelerator Architecture for Data-Intensive K-Means Algorithms -- Abstract -- 1 Introduction -- 2 Motivation and Related Work -- 2.1 Motivation -- 2.2 Related Work -- 3 SAKMA Hardware Implementation -- 3.1 General Architecture -- 3.2 IP Core Design Flow -- 3.3 Specific Functional Modules -- 3.3.1 Distance Calculation Module -- 3.3.2 Comparison Module -- 3.3.3 Acc Module and Division Module -- 4 Experimental Results -- 4.1 Software Implementation -- 4.2 Hardware Platform and Experimental Results -- 5 Conclusion -- Acknowledgments -- Acknowledgments -- References -- HDCat: Effectively Identifying Hot Data in Large-Scale I/O Streams with Enhanced Temporal Locality -- 1 Introduction -- 2 Related Work -- 2.1 Bloom Filter -- 2.2 D-bit Counter -- 2.3 Hot Data Identification Algorithms -- 3 HotData Catcher -- 3.1 Overview of Hot Data Catcher -- 3.2 Design of Hot Data Catcher -- 4 Evaluation -- 4.1 Evaluation Environment -- 4.2 Experimental Result -- 5 Conclusion -- References -- LuBase: A Search-Efficient Hybrid Storage System for Massive Text Data -- 1 Introduction -- 2 Related Work -- 3 LuBase System Design and Implementation -- 3.1 LuBase Storage System -- 3.2 Data Analytics System and Query Processing Flow -- 3.3 SQL Language Enhancement -- 4 Evaluation -- 4.1 Experiment Environment -- 4.2 Performance Evaluation -- 4.3 Index Storing Mode Test -- 5 Conclusion and Future Work -- References -- Enhancing Parallel Data Loading for Large Scale Scientific Database -- Abstract -- 1 Introduction -- 2 Preliminary Knowledge of the Scientific Database SciDB |
| Title | Algorithms and Architectures for Parallel Processing |
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