HardBD 2014 - The Second International Workshop on Big Data Management on Emerging Hardware

Data properties and hardware characteristics are two key aspects for efficient data management. A clear trend in the first aspect, data properties, is the increasing demand to manage and process Big Data, characterized by the fast evolution of “Big Data Systems”, where nearly every aspect of both enterprise and consumer services is being driven by data processing and analysis. Examples of big data systems include NoSQL storage systems, Hadoop/MapReduce, data analytics platforms, search and indexing platforms, and messaging infrastructures. These systems address needs for structured and unstructured data across a wide spectrum of domains such as Web, social networks, enterprise, cloud, mobile, sensor networks, multimedia/streaming, cyber-physical and high performance systems, and for multiple application areas such as healthcare, transportation, and scientific computing.
At the same time, the second aspect, hardware characteristics, is undergoing rapid changes, imposing new challenges for an efficient utilization of hardware resources. Recent trends include storage-class memory, massive multi-core processing systems, very large main memory systems, fast networking components, big computing clusters, and large data centers that consume massive amounts of energy. It is clear that many aspects of data management have to evolve with these trends. Utilizing new hardware technologies for efficient Big Data management is of urgent importance.
However, many essential issues in this area have to be exploited, such as new system architecture, new storage devices and indexes, query processing, energy efficiency and proportionality, and so on. The aim of this half-day workshop is to bring together researchers, practitioners, system administrators, system programmers, and others interested in sharing and presenting their perspectives on the effective management of big data over new hardware platforms, and to also discuss and identify future directions and challenges in this area. In addition, a number of invited papers will also be solicited.
Topics
We welcome papers that address fundamental research issues in this challenging area, with emphasis on big data management on emerging hardware. Submissions covering topics from the following non-exclusive list are encouraged:
Ø New systems architecture
Ø New storage devices
Ø Architecture-aware computing
Ø GPGPU-based data processing and analytics
Ø Energy-aware data processing
Ø Paralell and distributed data processing
Ø Bechmarking big data systems
Ø Co-processing of heterogeneous hardware
Ø In-memory data management
Ø Scalable and reconfigurable challenges
Ø Other challenges in big data systems