BPOE 2014 - The Fifth workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware

Big data has emerged as a strategic property of nations and organizations. There are driving needs to generate values from big data. However, the sheer volume of big data requires significant storage capacity, transmission bandwidth, computations, and power consumption. It is expected that systems with unprecedented scales can resolve the problems caused by varieties of big data with daunting volumes. Nevertheless, without big data benchmarks, it is very difficult for big data owners to make choice on which system is best for meeting with their specific requirements. They also face challenges on how to optimize the systems and their solutions for specific or even comprehensive workloads. Meanwhile, researchers are also working on innovative data management systems, hardware architectures, operating systems, and programming systems to improve performance in dealing with big data.
This workshop, the fifth its series, focuses on architecture and system support for big data systems, aiming at bringing researchers and practitioners from data management, architecture, and systems research communities together to discuss the research issues at the intersection of these areas.
Workshop date: September 5, 2014
Call for papers
Topics
The workshop seeks papers that address hot topic issues in benchmarking, designing and optimizing big data systems. Specific topics of interest include but are not limited to:
Big data workload characterization and benchmarking
Performance analysis of big data systems
Workload-optimized big data systems
Innovative prototypes of big data infrastructures
Emerging hardware technologies in big data systems
Operating systems support for big data systems
Interactions among architecture, systems and data management
Hardware and software co-design for big data
Practice report of evaluating and optimizing large-scale big data systems
Papers should present original research. As big data spans many disciplines, papers should provide sufficient background material to make them accessible to the broader community.