posted by organizer: zhychen || 707 views || tracked by 1 users: [display]

BPOD 2024 : The Seventh IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications

FacebookTwitterLinkedInGoogle

Link: https://bdal.umbc.edu/bpod-2024/
 
When Dec 15, 2024 - Dec 15, 2024
Where Washington DC, USA
Submission Deadline Oct 29, 2024
Notification Due Nov 13, 2024
Final Version Due Nov 23, 2024
Categories    big data   benchmarking   optimization   analytics
 

Call For Papers

The Seventh IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD 2024)
Collocated with IEEE BigData 2024
One day in Dec 15-18, 2024: Washington DC, USA
Website: https://bdal.umbc.edu/bpod-2024/
=============================================

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. In particular, there are numerous parameters to tune to optimize performance of a specific system and it is often possible to further optimize the algorithms previously written for “small” data in order to effectively adapt them in a big data environment. To make things more complex, users may worry about not only computational running time, storage cost and response time or throughput, but also quality of results, monetary cost, security and privacy, and energy efficiency. In more traditional algorithms and 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 and optimization algorithms. Such tools are not available for big data environment and the problem is more complicated than the problem for traditional relational databases.

Research Topics:
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. Topics of interest include, but not limited to:

- Theoretical and empirical performance models for big data applications
- Optimization for Machine Learning and Data Mining in big data
- Benchmark and comparative studies for big data processing and analytic platforms
- Monitoring, analysis, and visualization of performance in big data environment
- Workflow/process management & optimization in big data environment
- Performance tuning and optimization for specific big data platforms or applications (e.g., No-SQL databases, graph processing systems, stream systems, SQL-on-Hadoop databases)
- Performance tuning and optimization for specific data sets (e.g., scientific data, spatio data, temporal data, text data, images, videos, mixed datasets)
- Case studies and best practices for performance tuning for big data
- Cost model and performance prediction in big data environment
- Impact of security/privacy settings on performance of big data systems
- Self adaptive or automatic tuning tools for big data applications
- Big data application optimization on High Performance Computing (HPC) and Cloud environments

This workshop is built on top of the successful organization of the last six workshops at the same conference. In all six years we received well over 20 submissions and around 16 papers were accepted and presented each year, which makes it one of the largest workshops at the conference. We skipped last year just because of the availability of organizers for international travel.

==============================
Important Dates:
Oct 29, 2024 (extended): Due date for full workshop papers submission
Nov 13, 2024: Notification of paper acceptance to authors
Nov 23, 2024: Camera-ready of accepted papers
One day in Dec 15-18, 2024: Workshop


=========================================
Paper Submission


Authors are invited to submit full papers (maximal 10 pages) or short papers (maximal 6 pages) with references included in the IEEE 2-column format.
Templates for LaTex, Word and PDF can be found at
(https://www.ieee.org/conferences/publishing/templates.html).

You are strongly encouraged to print and double check your PDF file before its submission, especially if your paper contains Asian/European language symbols (such as Chinese/Korean characters or English letters with European fonts).

All papers must be submitted via the conference submission system for the workshop at:
https://wi-lab.com/cyberchair/2024/bigdata24/scripts/submit.php?subarea=S13


At least one author of each accepted paper is required to attend the workshop virtually and present the paper. All the accepted papers by the workshops will be included in the Proceedings of the IEEE Big Data 2024 Conference (IEEE BigData 2024) which will be published by IEEE Computer Society.

========================
Workshop Chairs

Program Chairs:
Zhiyuan Chen, University of Maryland Baltimore County
Jianwu Wang, University of Maryland Baltimore County
Feng Chen, University of Texas at Dallas
Junqi Yin, Oak Ridge National Laboratory

Confirmed PC members (More to be invited)

Antonio Badia, University of Louisville
Laurent d'Orazio, Rennes University
Yanjie Fu, University of Central Florida
Madhusudhan Govindaraju, Binghamton University
Marek Grzegorowski, University of Warsaw
Soufiana Mekouar, Mohammed V University Rabat, Scientific Institute
Lauritz Thamsen,University of Glasgow
Xiangfeng Wang, East China Normal University



=====================
Keynote Speakers (TBD)

Related Resources

IEEE Big Data - MMAI 2024   IEEE Big Data 2024 Workshop on Multimodal AI
ICoSR 2025   2025 4th International Conference on Service Robotics
PMBS 2024   The 15th International Workshop on Performance Modeling, Benchmarking and Simulation
IEEE BDAI 2025   IEEE--2025 the 8th International Conference on Big Data and Artificial Intelligence (BDAI 2025)
BIBC 2024   5th International Conference on Big Data, IOT and Blockchain
BDAI 2025   IEEE--2025 the 8th International Conference on Big Data and Artificial Intelligence (BDAI 2025)
PAKDD 2025   29th Pacific-Asia Conference on Knowledge Discovery and Data Mining
VCOI 2024   International Conference on Vision and Computational Intelligence
IEEE CEC 2025   IEEE Congress on Evolutionary Computation
EEI 2024   10th International Conference on Emerging Trends in Electrical, Electronics & Instrumentation Engineering