http://userpages.umbc.edu/~jianwu/BPOD/BPOD-2017.html
one day during December 11-14, 2017, Boston, MA, USA
at
the IEEE Big Data 2017 Conference (IEEE BigData 2017)
| Index | Title | Presenter/Author | Slides |
|---|---|---|---|
| 1 | Imbalance in the Cloud: an Analysis on Alibaba Cluster Trace | Chengzhi Lu, Kejiang Ye, Guoyao Xu, Cheng-Zhong Xu, and Tongxin Bai | Slides |
| 2 | A Performance Study of Big Data Analytics Platforms | Pouria Pirzadeh, Michael Carey, and Till Westmann | Slides |
| 3 | Plug and Play Bench : Simplifying Big Data Benchmarking Using Containers | Sheriffo Ceesay, Dr. Adam Barker, and Dr. Blesson Varghese | Slides |
| 4 | Quantifying Volume, Velocity, and Variety to support (Big) Data-Intensive Application Development | Rustem Dautov and Salvatore Distefano | Slides |
| 5 | A Comparison of Big Data Application Programming Approaches: A Travel Companion Case Study | Pei Guo, Jianwu Wang, and Zhiyuan Chen | Slides |
| 6 | A Performance Study of AsterixDB | Michael Carey and Keren Ouaknine | Slides |
| 7 | A Novel Compression Algorithm Decision Method for Spark Shuffle Process | Huang Shanshan, Liao Husheng, Xu Jungang, and Liu Renfeng | Slides |
| 8 | Tula: A Disk Latency Aware Balancing and Block Placement Strategy for Hadoop | Janakiram Dharanipragada, Srikant Padala, Balaji Kammili, and Vikram Kumar | Slides |
| 9 | ECL-Watch: A Big Data Application Performance Tuning Tool in the HPCC Systems Platform | Lili Xu, Edin Muharemagic, Flavio Villanustre, and Amy Apon | Slides |
| 10 | Towards Online Graph Processing with Spark Streaming | Tariq Abughofa and Farhana Zulkernine | Slides |
| 11 | Schema Design Support for Semi-Structured Data: Finding the Sweet Spot between NF and De-NF | Vincent Reniers, Dimitri Van Landuyt, Ansar Rafique, and Wouter Joosen | Slides |
| 12 | Enhancing the MapReduce Training of BP Neural Networks Based on Local Weight Matrix Evolution | Wanghu Chen, Xintian Li, Jing Li, and Jianwu Wang | Slides |
| 13 | Finding the Best Box-Cox Transformation from Massive Datasets on Spark | Baijian Yang, Tonglin Zhang, and Huayi Fang | Slides |
| 14 | SUDS: System for Uncertainty Decision Support | Maaike de Boer, Barry Nouwt, and Michael van Bekkum | Slides |
| 15 | Adaptive Scalable Pipelines for Political Event Data Generation | Yan Liang, Andy Halterman, Phanindra Jalla, Solaimani Mohiuddin, Manar Landis, Jill Irvine, and Christan Grant | Slides |
| 16 | Scaling Point Set Registration in 3D across Thread Counts on Multicore and Hardware Accelerator Platforms through Autotuning for Large Scale Analysis of Scientific Point Clouds | Piotr Luszczek, Jakub Kurzak, Ichitaro Yamazaki, David Keffer, and Jack Dongarra | Slides |
| 17 | Big Data processing: Is there a framework suitable for Economist and Statisticians | Giuseppe Bruno, Demetrio Condello, Alberto Falzone, and Andrea Luciani | Slides |
| 18 | CloudEC: A MapReduce-based Algorithm for Correcting Errors in Next-generation Sequencing Big Data | Wei-Chun Chung, Jan-Ming Ho, Chung-Yen Lin, and D. T. Lee | Slides |
| 19 | Efficient Incremental Data Analytics with Apache Spark | Sina Gholamian, Wojciech Golab, and Paul A. S. Ward | Slides |
| 20 | Performance Evaluation of Multiple Sports Player Tracking System Based on Graph Optimization | Yuri Nishikawa, Hitoshi Sato, and Jun Ozawa | Slides |