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Big Data Benchmarks, Performance Optimization, and Emerging Hardware

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Cover of 'Big Data Benchmarks, Performance Optimization, and Emerging Hardware'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 On Big Data Benchmarking
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    Chapter 2 A Micro-benchmark Suite for Evaluating Hadoop MapReduce on High-Performance Networks
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    Chapter 3 MemTest: A Novel Benchmark for In-memory Database
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    Chapter 4 DSIMBench: A Benchmark for Microarray Data Using R
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    Chapter 5 A Benchmark to Evaluate Mobile Video Upload to Cloud Infrastructures
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    Chapter 6 Benchmarking Replication and Consistency Strategies in Cloud Serving Databases: HBase and Cassandra
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    Chapter 7 I/O Characterization of Big Data Workloads in Data Centers
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    Chapter 8 Characterizing Workload of Web Applications on Virtualized Servers
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    Chapter 9 Performance Benefits of DataMPI: A Case Study with BigDataBench
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    Chapter 10 InvarNet-X : A Comprehensive Invariant Based Approach for Performance Diagnosis in Big Data Platform
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    Chapter 11 Tuning Hadoop Map Slot Value Using CPU Metric
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    Chapter 12 A Study of SQL-on-Hadoop Systems
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    Chapter 13 Predoop: Preempting Reduce Task for Job Execution Accelerations
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    Chapter 14 Record Placement Based on Data Skew Using Solid State Drives
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    Chapter 15 Efficient HTTP Based I/O on Very Large Datasets for High Performance Computing with the Libdavix Library
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    Chapter 16 Exploring Opportunities for Non-volatile Memories in Big Data Applications
Attention for Chapter 13: Predoop: Preempting Reduce Task for Job Execution Accelerations
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Chapter title
Predoop: Preempting Reduce Task for Job Execution Accelerations
Chapter number 13
Book title
Big Data Benchmarks, Performance Optimization, and Emerging Hardware
Published by
Springer, Cham, March 2014
DOI 10.1007/978-3-319-13021-7_13
Book ISBNs
978-3-31-913020-0, 978-3-31-913021-7
Authors

Yi Liang, Yufeng Wang, Minglu Fan, Chen Zhang, Yuqing Zhu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Unspecified 1 20%
Researcher 1 20%
Student > Bachelor 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Business, Management and Accounting 1 20%
Unspecified 1 20%