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Network and Parallel Computing

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Cover of 'Network and Parallel Computing'

Table of Contents

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    Book Overview
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    Chapter 1 GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processing
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    Chapter 2 Game-Based Multi-MD with QoS Computation Offloading for Mobile Edge Computing of Limited Computation Capacity
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    Chapter 3 KLSAT: An Application Mapping Algorithm Based on Kernighan–Lin Partition and Simulated Annealing for a Specific WK-Recursive NoC Architecture
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    Chapter 4 Modeling and Analysis of the Latency-Based Congestion Control Algorithm DX
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    Chapter 5 Distributed Quality-Aware Resource Allocation for Video Transmission in Wireless Networks
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    Chapter 6 PRTSM: Hardware Data Arrangement Mechanisms for Convolutional Layer Computation on the Systolic Array
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    Chapter 7 PParabel: Parallel Partitioned Label Trees for Extreme Classification
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    Chapter 8 Statistical Analysis and Prediction of Parking Behavior
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    Chapter 9 ASTracer: An Efficient Tracing Tool for HDFS with Adaptive Sampling
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    Chapter 10 BGElasor: Elastic-Scaling Framework for Distributed Streaming Processing with Deep Neural Network
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    Chapter 11 High Performance DDoS Attack Detection System Based on Distribution Statistics
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    Chapter 12 DDP-B: A Distributed Dynamic Parallel Framework for Meta-genomics Binary Similarity
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    Chapter 13 Optimal Resource Allocation Through Joint VM Selection and Placement in Private Clouds
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    Chapter 14 A Parallel Multi-keyword Top-k Search Scheme over Encrypted Cloud Data
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    Chapter 15 N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Improve Docker Performance
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    Chapter 16 MMSR: A Multi-model Super Resolution Framework
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    Chapter 17 HiPower: A High-Performance RDMA Acceleration Solution for Distributed Transaction Processing
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    Chapter 18 LDAPRoam: A Generic Solution for Both Web-Based and Non-Web-Based Federate Access
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    Chapter 19 Characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System
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    Chapter 20 Spindle: A Write-Optimized NVM Cache for Journaling File System
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    Chapter 21 Two-Erasure Codes from 3-Plexes
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    Chapter 22 Deep Fusion: A Software Scheduling Method for Memory Access Optimization
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    Chapter 23 Optimizing Data Placement on Hierarchical Storage Architecture via Machine Learning
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    Chapter 24 I/O Optimizations Based on Workload Characteristics for Parallel File Systems
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    Chapter 25 Energy Consumption of IT System in Cloud Data Center: Architecture, Factors and Prediction
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    Chapter 26 Efficient Processing of Convolutional Neural Networks on SW26010
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    Chapter 27 ADMMLIB: A Library of Communication-Efficient AD-ADMM for Distributed Machine Learning
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    Chapter 28 Energy-Aware Resource Scheduling with Fault-Tolerance in Edge Computing
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    Chapter 29 DIN: A Bio-Inspired Distributed Intelligence Networking
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    Chapter 30 A DAG Refactor Based Automatic Execution Optimization Mechanism for Spark
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    Chapter 31 BTS: Balanced Task Scheduling Strategy Based on Multi-resource Prediction and Allocation in Cloud Environment
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    Chapter 32 DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection
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    Chapter 33 SIRM: Shift Insensitive Racetrack Main Memory
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    Chapter 34 PDRM: A Probability Distribution Based Resource Management for Batch Workloads in Heterogeneous Cluster
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    Chapter 35 Collaborating CPUs and MICs for Large-Scale LBM Multiphase Flow Simulations
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    Chapter 36 Multiple Algorithms Against Multiple Hardware Architectures: Data-Driven Exploration on Deep Convolution Neural Network
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    Chapter 37 A Parallel Retinex Image Enhancement Algorithm Based on OpenMP
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Title
Network and Parallel Computing
Published by
Springer International Publishing, October 2019
DOI 10.1007/978-3-030-30709-7
ISBNs
978-3-03-030708-0, 978-3-03-030709-7
Editors

Tang, Xiaoxin, Chen, Quan, Bose, Pradip, Zheng, Weiming, Gaudiot, Jean-Luc

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