Big Data Benchmarks, Performance Optimization, and Emerging Hardware - Info and Reading Options

The Open Library:

This book constitutes the thoroughly revised selected papers of the 4th and 5th workshops on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 4 and BPOE 5, held respectively in Salt Lake City, in March 2014, and in Hangzhou, in September 2014. The 16 papers presented were carefully reviewed and selected from 30 submissions. Both workshops focus on architecture and system support for big data systems, such as benchmarking; workload characterization; performance optimization and evaluation; emerging hardware.

Open Data:

Intro -- Preface -- Organization -- Contents -- Topical Section Headings: Benchmarking -- On Big Data Benchmarking -- 1 Introduction -- 2 Requirements and Challenges -- 2.1 Generating Data with the 4V Properties of Big Data -- 2.2 Generating Benchmarking Tests with Comprehensive Workloads -- 2.3 Execution -- 3 On Benchmarking Methodology -- 3.1 Layer Design of Big Data Benchmarks -- 3.2 Data Generators in Big Data Benchmarks -- 3.3 Test Generator in Big Data Benchmarks -- 4 State-of-the-Art -- 4.1 Data Generation Techniques -- 4.2 Benchmarking Techniques -- 5 Open Challenges -- 5.1 Data-Centric Big Data Benchmarks -- 5.2 Domain-Centric Big Data Benchmarks -- 6 Conclusion -- References -- A Micro-benchmark Suite for Evaluating Hadoop MapReduce on High-Performance Networks -- 1 Introduction -- 2 Related Work -- 3 Design Considerations -- 4 Micro-benchmarks for Hadoop MapReduce -- 4.1 Overview of Overall Micro-benchmark Suite Design -- 4.2 Micro-benchmarks -- 5 Performance Evaluation -- 5.1 Experimental Setup -- 5.2 Evaluation along Different Dimensions -- 6 A Case Study: Enhanced Hadoop MapReduce Design over Native InfiniBand -- 7 Conclusion and Future Work -- References -- MemTest: A Novel Benchmark for In-memory Database -- 1 Introduction -- 2 Related Work -- 3 Metrics -- 4 Data Model -- 4.1 Table Structure -- 4.2 Data Generation and Distribution -- 5 Workload -- 5.1 Business Cases -- 5.2 Technical Details -- 6 Experiments -- 7 Conclusion -- References -- DSIMBench: A Benchmark for Microarray Data Using R -- 1 Introduction -- 2 Related Work -- 3 R with High Performance Plugins -- 3.1 Data Distribution -- 3.2 Parallel Computation -- 4 DSIMBench Workflows -- 4.1 Data Source Performance Assessment -- 4.2 Parallel Computation Benchmark Workflows -- 5 DSIMBench Applications -- 5.1 Marker Selection -- 5.2 Hierarchical Clustering -- 6 Results

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