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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 SCMKV: A Lightweight Log-Structured Key-Value Store on SCM
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    Chapter 2 Adaptive Length Sliding Window-Based Network Coding for Energy Efficient Algorithm in MANETs
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    Chapter 3 A Virtual Machine Migration Algorithm Based on Group Selection in Cloud Data Center
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    Chapter 4 Two-Stage Job Scheduling Model Based on Revenues and Resources
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    Chapter 5 TCon: A Transparent Congestion Control Deployment Platform for Optimizing WAN Transfers
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    Chapter 6 Regional Congestion Mitigation in Lossless Datacenter Networks
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    Chapter 7 A Fast and Accurate Way for API Network Construction Based on Semantic Similarity and Community Detection
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    Chapter 8 Improving Branch Prediction for Thread Migration on Multi-core Architectures
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    Chapter 9 Optimizing OpenCL Implementation of Deep Convolutional Neural Network on FPGA
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    Chapter 10 ACO-inspired ICN Routing Scheme with Density-Based Spatial Clustering
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    Chapter 11 An Efficient Polarity Optimization Approach for Fixed Polarity Reed-Muller Logic Circuits Based on Novel Binary Differential Evolution Algorithm
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    Chapter 12 Stem: A Table-Based Congestion Control Framework for Virtualized Data Center Networks
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    Chapter 13 SDAC: Porting Scientific Data to Spark RDDs
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    Chapter 14 Unified Access Layer with PostgreSQL FDW for Heterogeneous Databases
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    Chapter 15 Balancing Global and Local Fairness Allocation Model in Heterogeneous Data Center
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    Chapter 16 System Problem Detection by Mining Process Model from Console Logs
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    Chapter 17 Quantifying the Isolation Characteristics in Container Environments
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    Chapter 18 CSAS: Cost-Based Storage Auto-Selection, a Fine Grained Storage Selection Mechanism for Spark
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    Chapter 19 An In-Depth Performance Analysis of Many-Integrated Core for Communication Efficient Heterogeneous Computing
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Citations

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Title
Network and Parallel Computing
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-68210-5
ISBNs
978-3-31-968209-9, 978-3-31-968210-5
Editors

Xuanhua Shi, Hong An, Chao Wang, Mahmut Kandemir, Hai Jin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 2 100%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%