Big Data Benchmarks, Performance Optimization, and Emerging Hardware: 6th Workshop, BPOE 2015, Kohala, HI, USA, August 31 - September 4, 2015. Revised Selected Papers

✍ Scribed by Jianfeng Zhan, Rui Han, Roberto V. Zicari (eds.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 151
• Series: Lecture Notes in Computer Science 9495
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the thoroughly revised selected papers of the 6th workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 2015, held in Kohala Coast, HI, USA, in August/September 2015 as satellite event of VLDB 2015, the 41st International Conference on Very Large Data Bases.

The 8 papers presented were carefully reviewed and selected from 10 submissions. The workshop focuses on architecture and system support for big data systems, aiming at bringing researchers and practitioners from data management, architecture, and systems research communities together to discuss the research issues at the intersection of these areas. This book also invites three papers from several industrial partners, including two papers describing tools used in system benchmarking and monitoring and one paper discussing principles and methodologies in existing big data benchmarks.

✦ Table of Contents

Front Matter....Pages I-X
Front Matter....Pages 1-1
Revisiting Benchmarking Principles and Methodologies for Big Data Benchmarking....Pages 3-9
BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads....Pages 10-21
Front Matter....Pages 23-23
Towards a Big Data Benchmarking and Demonstration Suite for the Online Social Network Era with Realistic Workloads and Live Data....Pages 25-36
On Statistical Characteristics of Real-Life Knowledge Graphs....Pages 37-49
Mbench: Benchmarking a Multicore Operating System Using Mixed Workloads....Pages 50-63
Front Matter....Pages 65-65
Evolution from Shark to Spark SQL: Preliminary Analysis and Qualitative Evaluation....Pages 67-80
How Data Volume Affects Spark Based Data Analytics on a Scale-up Server....Pages 81-92
An Optimal Reduce Placement Algorithm for Data Skew Based on Sampling....Pages 93-106
AAA: A Massive Data Acquisition Approach in Large-Scale System Monitoring....Pages 107-116
Front Matter....Pages 117-117
A Plugin-Based Approach to Exploit RDMA Benefits for Apache and Enterprise HDFS....Pages 119-132
Stream-Based Lossless Data Compression Hardware Using Adaptive Frequency Table Management....Pages 133-146
Back Matter....Pages 147-147

✦ Subjects

Database Management; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Computer Communication Networks; Information Systems Applications (incl. Internet); Algorithm Analysis and Problem Complexity