Big Data Benchmarks, Performance Optimization, and Emerging Hardware - Info and Reading Options
6th Workshop, BPOE 2015, Kohala, HI, USA, August 31 - September 4, 2015. Revised Selected Papers
By Jianfeng Zhan, Rui Han and Roberto V. Zicari
"Big Data Benchmarks, Performance Optimization, and Emerging Hardware" was published by Springer London, Limited in 2016 - Cham, it has 147 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: Jianfeng ZhanRui HanRoberto V. Zicari
- Language: English
- Number of Pages: 147
- Publisher: Springer London, Limited
- Publish Date: 2016
- Publish Location: Cham
“Big Data Benchmarks, Performance Optimization, and Emerging Hardware” Subjects and Themes:
- Subjects: ➤ Data mining - Computer organization - Information retrieval - Information organization - Computer science - Information storage and retrieval systems - Data Mining and Knowledge Discovery
Edition Identifiers:
- The Open Library ID: OL34536886M - OL20734020W
- ISBN-13: 9783319290065
- All ISBNs: 9783319290065
AI-generated Review of “Big Data Benchmarks, Performance Optimization, and Emerging Hardware”:
"Big Data Benchmarks, Performance Optimization, and Emerging Hardware" Description:
Open Data:
Intro -- Preface -- Organization -- Contents -- Benchmarking -- Revisiting Benchmarking Principles and Methodologies for Big Data Benchmarking -- 1 Introduction -- 2 Benchmarking Principles -- 2.1 TPC Benchmarks -- 2.2 SPEC Benchmarks -- 2.3 PARSEC Benchmark -- 2.4 Big Data Benchmarking Community -- 2.5 BigDataBench -- 3 Benchmarking Methodologies -- 3.1 TPC-C Methodology -- 3.2 Methodology of BigDataBench -- 4 Conclusion -- References -- BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 3.1 Combiner of Workload and Traces -- 3.2 Multi-tenant Workload Generator -- 4 Demonstration Description -- 4.1 Chosen Workloads and Workload Traces -- 4.2 System Demonstration -- 5 Future Work -- References -- Benchmarking and Workload Characterization -- Towards a Big Data Benchmarking and Demonstration Suite for the Online Social Network Era with Realistic Workloads and Live Data -- 1 Introduction -- 2 Challenges -- 2.1 Realistic and Live Data -- 2.2 Comprehensive Workloads -- 2.3 Evaluation Metrics -- 3 Benchmark Design and Early Prototype -- 3.1 Data Generator -- 3.2 Workload Provider -- 3.3 Demo Plug-Ins -- 3.4 Metrics Evaluator -- 4 Use Cases -- 4.1 Evaluating Big Data QoS Impact -- 4.2 Constructing an Object Store Benchmark -- 4.3 Evaluating Spark Core Optimization -- 5 Related Work -- 6 Concluding Remarks -- References -- On Statistical Characteristics of Real-Life Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 3 Statistical Characteristics -- 4 Data Description -- 5 Empirical Studies -- 5.1 Analysis for Statistics -- 5.2 Analysis for Distributions -- 5.3 Analysis for Labels' Relatedness -- 6 Conclusion and Discussion -- References -- Mbench: Benchmarking a Multicore Operating System Using Mixed Workloads -- 1 Introduction -- 2 Current Approaches
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