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

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 ...

Book's cover
The cover of “Big Data Benchmarks, Performance Optimization, and Emerging Hardware” - Open Library.

"Big Data Benchmarks, Performance Optimization, and Emerging Hardware" is published by Springer in Feb 03, 2016 - Cham and it has 157 pages.


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

  • Title: ➤  Big Data Benchmarks, Performance Optimization, and Emerging Hardware
  • Authors:
  • Number of Pages: 157
  • Publisher: Springer
  • Publish Date:
  • Publish Location: Cham

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

Edition Specifications:

  • Format: paperback

Edition Identifiers:

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

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

Read “Big Data Benchmarks, Performance Optimization, and Emerging Hardware” by choosing from the options below.

Search for “Big Data Benchmarks, Performance Optimization, and Emerging Hardware” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “Big Data Benchmarks, Performance Optimization, and Emerging Hardware” in Libraries Near You:

Read or borrow “Big Data Benchmarks, Performance Optimization, and Emerging Hardware” from your local library.

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

Shop for “Big Data Benchmarks, Performance Optimization, and Emerging Hardware” on popular online marketplaces.