Accepted Papers

The Second IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD 2018)

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)

IndexTitlePresenter/AuthorSlides
Session 1: Workflow, Benchmark, Scientific Data
1Hoagie: A Database and Workload Generator using Published SpecificationsShahram Ghandeharizadeh, Haoyu HuangSlides
2Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific WorkflowsAlok Singh, Ilkay Altintas, Malachi Schram, Nathan TallentSlides
3Blockchain Based Provenance Sharing of Scientific WorkflowsWanghu Chen, Xiaoyan Liang, Jing Li, Hongwu Qin, Yuxiang Mu, Jianwu WangSlides
4Toward Scalable Analysis of Multidimensional Scientific Data: A Case Study of Electrode ArraysYe Niu, Abdullah Al-Mamun, Hui Lin, Tonglin Li, Yi Zhao, and Dongfang ZhaoSlides
Session 2: Machine Learning and Analytics I
5A study of Exact Ridge Regression for Big DataWanchih Chiang, Xiang Liu, Tonglin Zhang, and Baijian YangSlides
6A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge CasesMd Mosharaf Hossain, Thomas M. Hines, Sheikh Rabiul Islam, Sheikh K. Ghafoor, and Ramakrishnan KannanSlides
7Performance and Memory Trade-offs of Deep Learning Object Detection in Fast Streaming High-Definition ImagesAishwarya Srivastava, Dung Nguyen, Siddhant Aggarwal, Andre Luckow, Edward Duffy, Ken Kennedy, Marcin Ziolkowski, and Amy AponSlides
8City-Wide Influenza Forecasting based on Multi-Source DataKun 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 XiaoSlides
Invited TalkBenchmarking for Big Data Applications with the DataBench FrameworkArne BerreSlides
Session 3: Optimization and Tuning
9Enhancing the Scalability and Performance of Iterative Graph Algorithms on Apache StormSachini Jayasekara, Shanika Karunasekera, and Aaron HarwoodSlides
10One Self-Adaptive Memory Scheduling Algorithm for the Shuffle Process in Spark PlatformJungang Xu, Shanshan Huang, Renfeng Liu, and Pengfei LiSlides
11Big data storage technologies: a case study for web-based LiDAR visualizationDavid Deibe, Margarita Amor, and RamoĢn DoallSlides
Session 4: Machine Learning and Analytics II
12Predicting the Computational Cost of Deep Learning ModelsDaniel Justus, John Brennan, Stephen Bonner, and Stephen McGoughSlides
13Key based Deep Data Locality on HadoopSungchul lee, Juyeon Jo, and Yoohwan KimSlides
14An Efficient Multi-Objective Genetic Algorithm for Cloud Computing: NSGA-GTrung-Dung Le, Verena Kantere, and Laurent d'OrazioSlides
15The Challenge of a Strong Speed-Up of a Bio-Medical Big Data ApplicationMarco Strutz, Bjoern Lindequist, Hermann Hessling, and Achim StreitSlides
16In-memory Blockchain: Toward Efficient and Trustworthy Data Provenance for HPC SystemsAbdullah Al-Mamun, Tonglin Li, Mohammad Sadoghi, and Dongfang ZhaoSlides
17Achieving Horizontal Scalability in Density-based Clustering for URLsAzadeh Faroughi, Reza Javidan, Marco Mellia, Andrea Morichetta, Francesca Soro, and Martino TrevisanSlides