http://userpages.umbc.edu/~jianwu/BPOD/BPOD-2018.html
December 10, 2018, Seattle, WA, USA
at
the IEEE Big Data 2108 Conference (IEEE BigData 2018)
| Index | Title | Presenter/Author | Slides |
|---|---|---|---|
| Session 1: Workflow, Benchmark, Scientific Data | |||
| 1 | Hoagie: A Database and Workload Generator using Published Specifications | Shahram Ghandeharizadeh, Haoyu Huang | Slides |
| 2 | Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows | Alok Singh, Ilkay Altintas, Malachi Schram, Nathan Tallent | Slides |
| 3 | Blockchain Based Provenance Sharing of Scientific Workflows | Wanghu Chen, Xiaoyan Liang, Jing Li, Hongwu Qin, Yuxiang Mu, Jianwu Wang | Slides |
| 4 | Toward Scalable Analysis of Multidimensional Scientific Data: A Case Study of Electrode Arrays | Ye Niu, Abdullah Al-Mamun, Hui Lin, Tonglin Li, Yi Zhao, and Dongfang Zhao | Slides |
| Session 2: Machine Learning and Analytics I | |||
| 5 | A study of Exact Ridge Regression for Big Data | Wanchih Chiang, Xiang Liu, Tonglin Zhang, and Baijian Yang | Slides |
| 6 | A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases | Md Mosharaf Hossain, Thomas M. Hines, Sheikh Rabiul Islam, Sheikh K. Ghafoor, and Ramakrishnan Kannan | Slides |
| 7 | Performance and Memory Trade-offs of Deep Learning Object Detection in Fast Streaming High-Definition Images | Aishwarya Srivastava, Dung Nguyen, Siddhant Aggarwal, Andre Luckow, Edward Duffy, Ken Kennedy, Marcin Ziolkowski, and Amy Apon | Slides |
| 8 | City-Wide Influenza Forecasting based on Multi-Source Data | Kun Su, Yu Xiong, Li Qi, Yu Xia, Baisong Li, Lin Yang, Qin Li, Wenge Tang, Xian Li, Xiaowen Ruan, Shaofeng Lu, Xianxian Chen, Chaobo Shen, Boran Hong, Jiaying Xu, Liang Xu, Mei Han, and Jing Xiao | Slides |
| Invited Talk | Benchmarking for Big Data Applications with the DataBench Framework | Arne Berre | Slides |
| Session 3: Optimization and Tuning | |||
| 9 | Enhancing the Scalability and Performance of Iterative Graph Algorithms on Apache Storm | Sachini Jayasekara, Shanika Karunasekera, and Aaron Harwood | Slides |
| 10 | One Self-Adaptive Memory Scheduling Algorithm for the Shuffle Process in Spark Platform | Jungang Xu, Shanshan Huang, Renfeng Liu, and Pengfei Li | Slides |
| 11 | Big data storage technologies: a case study for web-based LiDAR visualization | David Deibe, Margarita Amor, and RamoĢn Doall | Slides |
| Session 4: Machine Learning and Analytics II | |||
| 12 | Predicting the Computational Cost of Deep Learning Models | Daniel Justus, John Brennan, Stephen Bonner, and Stephen McGough | Slides |
| 13 | Key based Deep Data Locality on Hadoop | Sungchul lee, Juyeon Jo, and Yoohwan Kim | Slides |
| 14 | An Efficient Multi-Objective Genetic Algorithm for Cloud Computing: NSGA-G | Trung-Dung Le, Verena Kantere, and Laurent d'Orazio | Slides |
| 15 | The Challenge of a Strong Speed-Up of a Bio-Medical Big Data Application | Marco Strutz, Bjoern Lindequist, Hermann Hessling, and Achim Streit | Slides |
| 16 | In-memory Blockchain: Toward Efficient and Trustworthy Data Provenance for HPC Systems | Abdullah Al-Mamun, Tonglin Li, Mohammad Sadoghi, and Dongfang Zhao | Slides |
| 17 | Achieving Horizontal Scalability in Density-based Clustering for URLs | Azadeh Faroughi, Reza Javidan, Marco Mellia, Andrea Morichetta, Francesca Soro, and Martino Trevisan | Slides |