one day during December 11-14, 2017, Boston, MA, USA
at the IEEE Big Data 2017 Conference (IEEE BigData 2017)
The program and presentations of the workshop can be found at http://userpages.umbc.edu/~jianwu/BPOD/BPOD-2017-Papers.html.
Users of big data are often not computer scientists. On the other hand, it is nontrivial for even experts to optimize performance of big data applications because there are so many decisions to make. For example, users have to first choose from many different big data systems such as those dealing with structured data (e.g., Apache Hbase, Mongo DB, Apache Hive, Apache Accumulo, Presto, Spark SQL), graph data (e.g., Pregel, Giraph, GraphX, GraphLab), and streaming data (e.g., Apache Storm, Apache Heron, Apache Flink, Samza). In addition, there are numerous parameters to tune to optimize performance of a specific system. To make things more complex, users may worry about not only response time or throughput, but also quality of results, monetary cost, security and privacy, and energy efficiency. In more traditional relational databases these complexities are handled by query optimizer and other automatic tuning tools (e.g., index selection tools) and there are benchmarks to compare performance of different products. Such tools are not available for big data environment and the problem is probably more complicated than the problem for traditional relational databases.
The aim of this workshop is to bring researchers and practitioners together to better understand the problems of optimization and performance tuning in a big data environment, to propose new approaches to address such problems, and to develop related benchmarks, tools and best practices.
Authors are invited to submit full papers (maximal 10 pages) or short papers (maximal 6 pages) as per IEEE 8.5 x 11 manuscript guidelines (download Word templates, download PDF templates or LaTeX templates). All papers must be submitted via the conference submission system for the workshop.
At least one author of each accepted paper is required to attend the workshop and present the paper. All the accepted papers by the workshops will be included in the Proceedings of the IEEE Big Data 2017 Conference (IEEE BigData 2017) which will be published by IEEE Computer Society.
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