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6. BPOE 2015: Kohala, HI, USA
- Jianfeng Zhan, Rui Han, Roberto V. Zicari:

Big Data Benchmarks, Performance Optimization, and Emerging Hardware - 6th Workshop, BPOE 2015, Kohala, HI, USA, August 31 - September 4, 2015. Revised Selected Papers. Lecture Notes in Computer Science 9495, Springer 2016, ISBN 978-3-319-29005-8
Benchmarking
- Liutao Zhao, Wanling Gao, Yi Jin:

Revisiting Benchmarking Principles and Methodologies for Big Data Benchmarking. 3-9 - Rui Han, Shulin Zhan, Chenrong Shao, Junwei Wang, Lizy K. John, Jiangtao Xu, Gang Lu, Lei Wang:

BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads. 10-21
Benchmarking and Workload Characterization
- Rui Zhang, Irene Manotas, Min Li, Dean Hildebrand:

Towards a Big Data Benchmarking and Demonstration Suite for the Online Social Network Era with Realistic Workloads and Live Data. 25-36 - Wenliang Cheng, Chengyu Wang, Bing Xiao, Weining Qian, Aoying Zhou:

On Statistical Characteristics of Real-Life Knowledge Graphs. 37-49 - Gang Lu, Xinlong Lin, Runlin Zhou:

Mbench: Benchmarking a Multicore Operating System Using Mixed Workloads. 50-63
Performance Optimization and Evaluation
- Xinhui Tian, Gang Lu, Xiexuan Zhou, Jingwei Li:

Evolution from Shark to Spark SQL: Preliminary Analysis and Qualitative Evaluation. 67-80 - Ahsan Javed Awan

, Mats Brorsson, Vladimir Vlassov
, Eduard Ayguadé:
How Data Volume Affects Spark Based Data Analytics on a Scale-up Server. 81-92 - Zhuo Tang, Wen Ma, Rui Li, Kenli Li, Keqin Li:

An Optimal Reduce Placement Algorithm for Data Skew Based on Sampling. 93-106 - Runlin Zhou, Yanfei Lv, Dongjin Fan, Hong Zhang, Chunge Zhu:

AAA: A Massive Data Acquisition Approach in Large-Scale System Monitoring. 107-116
Emerging Hardware
- Adithya Bhat, Nusrat Sharmin Islam, Xiaoyi Lu, Md. Wasi-ur-Rahman, Dipti Shankar, Dhabaleswar K. Panda:

A Plugin-Based Approach to Exploit RDMA Benefits for Apache and Enterprise HDFS. 119-132 - Shinichi Yamagiwa, Koichi Marumo, Hiroshi Sakamoto:

Stream-Based Lossless Data Compression Hardware Using Adaptive Frequency Table Management. 133-146

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