Report on the International Workshop on Big Data Management on Emerging Hardware (HardBD 2015)

HardBD 2015 (International Workshop on Big Data Management on Emerging Hardware) was held in Seoul, Korea on April 13, 2015, in conjunction with ICDE 2015 (the 31st IEEE International Conference on Data Engineering) [1]. The aim of this half-day workshop is to bring together researchers, practitioners, system administrators, and others interested in management of big data over new hardware platforms to share their perspectives, and to discuss and identify future directions and challenges in this area. 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 in both enterprise and consumer applications, characterized by the fast evolution of Big Data Systems. Examples of big data systems include NoSQL storage systems, MapReduce/Hadoop, data analytics platforms, search and indexing platforms, messaging infrastructures, event log processing systems, as well as novel extensions to relational database systems. These systems address needs for processing structured, semi-structured, and unstructured data across a wide spectrum of domains such as web, social networks, enterprise, mobile computing, sensor networks, multimedia/streaming, cyber-physical and high performance systems, and for a great many application areas such as e-commerce, finance, health care, transportation, telecommunication, and scientific computing. At the same time, the second aspect, hardware characteristics, is undergoing rapid changes, imposing new challenges for the efficient utilization of hardware resources. Recent trends include massive multi-core processing systems, high performance co-processors, very large main memory, emerging non-volatile memory technology, fast networking components, big computing clusters, and large data centers that consume massive amount of energy. Utilizing new hardware technologies for efficient Big Data management is of urgent importance. The program committee accepted four regular papers that cover a variety of interesting topics, by authors from China, Germany, Korea, and USA. The program also features a keynote speech by Sangyeun Cho, VP at Samsung for advanced solutions research and development, on recent advances in Flash solutions. In the following, we will overview the keynote talk in Section 2 and the research papers in Section 3, and summarize the workshop in Section 4.