the Second International Workshop on Big
Data Management on Emerging Hardware
2014. Macau SAR, China
workshop program is updated!
pleased to announce that
Prof. Shimin Chen
from ICT@CAS will give a keynote at HardBD'14!
Accepted paper list
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.
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We welcome papers that address fundamental
research issues in this challenging area, with emphasis on
data management on emerging hardware.
covering topics from the following non-exclusive list are
New systems architecture
data processing and analytics
Ø Energy-aware data processing
and distributed data processing
big data systems
of heterogeneous hardware
Ø In-memory data management
and reconfigurable challenges
challenges in big data systems
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Renmin University of China (RUC),
Hong Kong Baptist University (HKBU),
University of Science and Technology of China (USTC),
- Yi Ou, Technical
University of Kaiserslautern, Germany
- Binsheng He, Nanyang
Technological University, Singapore
- Luc Bouganim, INRIA, France
- Bin Cui, Peking Universit, China
- Bin He, IBM Almaden Research, USA
- Sang-Wook Kim, Hanyang
- Ioannis Koltsidas, IBM Research -
- Ziyu Lin, Xia'Men University,
- Vijayan Prabhakaran, Microsoft
- Ke Lu, Tencent, China
- Qi Zhang, Alibaba, China
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