"Big Data Benchmarks, Performance Optimization, and Emerging Hardware" - Information and Links:

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4th and 5th Workshops, BPOE 2014, Salt Lake City, USA, March 1, 2014 and Hangzhou, China, September 5, 2014, Revised Selected Papers

"Big Data Benchmarks, Performance Optimization, and Emerging Hardware" was published by Springer London, Limited in 2014 - Cham, it has 1 pages and the language of the book is English.


“Big Data Benchmarks, Performance Optimization, and Emerging Hardware” Metadata:

  • Title: ➤  Big Data Benchmarks, Performance Optimization, and Emerging Hardware
  • Authors:
  • Language: English
  • Number of Pages: 1
  • Publisher: Springer London, Limited
  • Publish Date:
  • Publish Location: Cham

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Edition Specifications:

  • Pagination: x, 221

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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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